A Social Media Enumeration & Correlation Tool by Jacob Wilkin(Greenwolf)

A tool for generating multiple types of NTLMv2 hash theft files by Jacob Wilkin (Greenwolf)

An easy-to-use overlay library written in C# by Jacob Kemple.

A Password Spraying tool for Active Directory Credentials by Jacob Wilkin(Greenwolf)

A more than minimal JVM written in Go and capable of running Java 21 classes.

JACOB is a JAVA-COM Bridge that allows you to call COM Automation components from Java. It uses JNI to make native calls to the COM libraries. JACOB runs on x86 and x64 environments supporting 32 bit and 64 bit JVMs. This repository was migrated from Sourceforge 2020 Sep

A unified framework to solve and analyze heterogeneous-agent macro models.

Controlling diverse robots by inferring jacobian fields with deep networks! Let's make robots understand their bodies!

Revival of Jacob's revival of Baskerville's typeface designed by ANRT students in 2017-2018.

个人简介

A lexer and parser generator in JavaScript for DSL and custom languages in the browser and Node.js

No description available

Jacobi Forcing: Fast and Accurate Diffusion-style Decoding

This repo contains the code and schematics for the Raspberry pi based guitar effect box built by Ben Jacobs of DoItNow Labs.

A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.

WeBull Trading Bot, by Jacob Amaral Youtube : https://youtu.be/eA8xA8diD3U This bot will connect to the unofficial Webull API and place trades automatically

7 production n8n workflows from Jacobo, a multi-agent AI system (WhatsApp + Voice). Open source by default.

:mag: An investigation into Jacob Appelbaum leaving the Tor Project

How Powerful are Spectral Graph Neural Networks

"One must acknowledge with cryptography no amount of violence will ever solve a math problem." ― Jacob Appelbaum

Baltimore Ravens,BAL QB,Ryan Mallett,28,2011,84,63,85,97,79,20,0.8,2 QB,Joe Flacco,31,2008,86,86,97,97,87,55,22.1,3 QB,Josh Johnson,30,2008,73,65,92,87,73,63,0.6,1 RB,Lorenzo Taliaferro,24,2014,77,57,91,89,86,65,0.6,4 RB,Terrance West,25,2014,82,68,91,66,87,78,0.6,1 RB,Trent Richardson,25,2012,101,74,95,80,87,62,0.7,1 RB,Justin Forsett,30,2008,61,83,88,63,86,93,3,3 RB,Javorius Allen,24,2015,78,52,89,82,88,67,0.7,4 RB,Kyle Juszczyk,25,2013,76,73,93,82,81,57,0.6,4 WR,Kaelin Clay,24,2015,73,57,81,73,91,87,0.5,1 WR,Steve Smith Sr,37,2001,74,96,88,90,83,87,3.5,3 WR,Michael Campanaro,25,2014,72,65,87,81,90,82,0.6,4 WR,Darren Waller,23,2015,73,47,91,76,90,53,0.6,4 WR,Breshad Perriman,22,2015,88,53,89,77,97,82,2.2,4 WR,Dennis Pitta,30,2010,78,81,68,88,80,54,6.4,5 WR,Maxx Williams,22,2015,88,51,87,83,80,68,1,4 WR,Benjamin Watson,35,2004,77,82,85,72,79,60,3.5,2 WR,Kamar Aiken,27,2011,61,73,92,79,88,75,2.6,1 WR,Mike Wallace,29,2009,77,84,92,88,92,86,5.8,2 OL,Ryan Jensen,25,2013,72,52,92,90,83,76,0.6,1 OL,Marshal Yanda,31,2007,75,90,93,94,99,90,8,4 OL,Vladimir Ducasse,28,2010,83,73,89,92,81,68,0.5,1 OL,Ronnie Stanley,22,2016,105,78,85,87,91,89,5.1,4 OL,James Hurst,24,2014,62,71,87,78,77,69,0.5,3 OL,Jeremy Zuttah,30,2008,76,83,93,86,92,73,4.1,3 OL,John Urschel,24,2014,72,75,95,87,77,84,0.6,4 OL,Eugene Monroe,29,2009,97,87,90,89,75,90,7.5,5 K,Sam Koch,33,2006,64,88,85,91,87,79,3.3,5 K,Justin Tucker,26,2012,60,85,95,98,95,74,4.6,1 S,Terrence Brooks,25,2014,82,52,83,76,91,79,0.7,4 S,Kendrick Lewis,30,2010,73,78,81,78,86,86,1.8,3 S,Matt Elam,24,2013,86,63,89,65,89,90,1.7,4 S,Eric Weddle,31,2007,80,92,95,91,93,77,6.5,4 CB,Jerraud Powers,28,2009,77,82,90,86,90,50,1.8,1 CB,Will Davis,26,2013,81,66,85,75,90,46,0.7,4 CB,Lardarius Webb,30,2009,77,83,88,80,91,60,5.4,3 CB,Jimmy Smith,27,2011,84,79,88,90,90,70,10.3,4 CB,Kyle Arrington,29,2008,57,82,88,84,88,47,2.3,3 CB,Jumal Rolle,26,2013,62,63,91,75,91,45,0.6,1 CB,Shareece Wright,29,2011,79,74,85,70,88,62,4.3,3 CB,Anthony Levine,29,2010,60,70,88,79,89,67,1.1,2 CB,Sheldon Price,25,2013,64,53,82,69,87,39,0.5,1 DL,Brent Urban,25,2014,77,50,74,79,76,86,0.6,4 DL,Carl Davis,24,2015,83,53,84,88,78,87,0.7,4 DL,Lawrence Guy,26,2011,64,72,92,84,82,78,1.2,2 DL,Kapron Lewis-Moore,26,2013,71,55,74,89,82,88,0.6,4 DL,Timmy Jernigan,23,2014,87,70,90,84,83,86,1.1,4 DL,CJ Mosley,24,2014,92,79,88,85,84,78,2.2,4 LB,Elvis Dumervil,32,2006,69,92,83,75,85,93,5.2,5 LB,Za'Darius Smith,23,2015,83,53,88,80,80,59,0.7,4 LB,Chris Carter,27,2011,74,69,85,76,59,72,1,1 LB,Arthur Brown,26,2013,86,62,92,87,63,72,0.9,4 LB,Terrell Suggs,33,2003,81,94,88,92,97,87,5.2,4 LB,Albert McClellan,30,2010,59,71,91,79,85,70,1.3,3 END_PLAYERS Cincinnati Bengals,CIN QB,Andy Dalton,28,2011,84,81,96,86,79,20,16,6 QB,AJ McCarron,25,2014,78,65,94,84,75,44,0.6,4 RB,Giovani Bernard,24,2013,86,77,84,56,87,87,5.2,3 RB,Jeremy Hill,23,2014,87,78,94,95,88,79,0.9,4 RB,Rex Burkhead,25,2013,71,68,87,59,80,76,0.6,4 RB,Cedric Peerman,29,2009,68,70,84,52,90,79,1.1,2 WR,AJ Green,27,2011,99,87,95,104,87,84,15,4 WR,Brandon Tate,28,2009,77,78,79,72,88,86,1,1 WR,James Wright,24,2014,67,64,92,77,90,76,0.6,4 WR,Brandon LaFell,29,2010,78,83,94,88,84,65,2.5,1 WR,Mario Alford,25,2015,68,52,91,76,97,85,0.6,4 WR,Tyler Eifert,25,2013,91,62,90,85,82,54,2.1,4 OL,Cedric Ogbuehi,24,2015,93,65,74,82,81,85,2.3,4 OL,Clint Boling,27,2011,79,83,97,82,90,80,5.2,5 OL,Andrew Whitworth,34,2006,79,96,90,94,89,98,9,1 OL,Eric Winston,32,2006,80,84,89,82,74,72,1.1,1 OL,Trey Hopkins,23,2014,63,54,91,87,82,74,0.5,2 OL,Russell Bodine,23,2014,82,75,93,97,82,74,0.7,4 OL,TJ Johnson,25,2013,67,65,92,86,76,75,0.6,1 OL,Jake Fisher,23,2015,88,60,83,77,75,87,1.1,4 OL,Kevin Zeitler,26,2012,85,83,79,91,92,85,1.9,4 K,Zach Hocker,24,2014,68,56,95,90,80,70,0.6,2 K,Mike Nugent,34,2005,78,77,90,91,83,62,1.8,2 K,Kevin Huber,30,2009,72,83,95,88,90,70,2.8,5 S,George Iloka,26,2012,75,78,95,93,88,84,6,5 S,Derron Smith,24,2015,73,55,81,81,90,75,0.6,4 S,Shawn Williams,25,2013,81,52,94,72,92,85,5,4 CB,William Jackson III,23,2016,95,65,85,81,90,70,2.4,4 CB,Josh Shaw,24,2015,83,42,78,79,92,50,0.7,4 CB,Dre Kirkpatrick,26,2012,90,70,85,87,91,73,2.2,4 CB,Adam Jones,32,2005,95,84,88,82,92,50,7.3,3 CB,Leon Hall,31,2007,65,90,87,87,92,62,9.8,4 CB,Darqueze Dennard,24,2014,92,61,87,75,90,65,2,4 CB,Chykie Brown,29,2011,75,72,83,76,90,45,0.8,1 CB,Chris Lewis-Harris,27,2012,61,67,92,77,87,55,0.6,2 DL,Marcus Hardison,24,2015,78,42,87,82,66,67,0.7,4 DL,Michael Bennett,24,2015,64,54,87,77,67,71,0.5,2 DL,Domata Peko,31,2006,74,87,92,87,69,72,4.5,2 DL,Pat Sims,30,2008,76,76,87,89,77,78,1.2,2 DL,Will Clarke,25,2014,82,54,87,76,78,76,0.7,4 DL,Carlos Dunlap,27,2010,83,81,86,79,67,72,7.9,5 DL,Michael Johnson,29,2009,82,79,88,73,64,69,5,4 DL,Geno Atkins,28,2010,78,87,85,99,93,82,10.7,5 DL,Brandon Thompson,26,2012,80,62,90,91,78,72,0.8,1 DL,Margus Hunt,28,2013,87,60,85,88,80,74,0.9,4 LB,Rey Maualuga,29,2009,82,88,89,87,75,84,5,3 LB,Vontaze Burfict,25,2012,60,78,96,90,82,86,4.8,4 LB,Jayson Dimanche,25,2013,62,65,91,74,62,64,0.7,2 LB,Vincent Rey,28,2010,59,75,93,87,59,78,3.5,3 LB,Karlos Dansby,34,2004,77,94,89,93,72,97,2,1 LB,Marquis Flowers,24,2014,72,62,91,69,57,65,0.6,4 END_PLAYERS Cleveland Browns,CLE QB,Austin Davis,27,2012,60,65,92,85,79,49,2,2 QB,Connor Shaw,24,2014,63,51,83,80,76,71,0.5,3 QB,Robert Griffin III,26,2012,100,68,77,92,70,74,7.5,2 QB,Josh McCown,36,2002,72,75,75,83,71,27,4.7,3 RB,Glenn Winston,27,2014,62,40,85,85,81,57,0.5,3 RB,Duke Johnson,22,2015,83,60,76,53,90,87,0.8,4 RB,Isaiah Crowell,23,2014,62,63,93,86,86,63,0.5,3 RB,Malcolm Johnson,23,2015,73,46,91,70,83,60,0.6,4 WR,Rannell Hall,24,2015,64,52,85,70,87,77,0.5,2 WR,Corey Coleman,21,2016,95,75,85,87,96,85,2.9,4 WR,Andrew Hawkins,30,2011,59,83,88,88,90,95,3.4,4 WR,Gary Barnidge,30,2008,71,76,76,93,81,25,4.1,3 WR,Taylor Gabriel,25,2014,62,74,87,82,92,87,0.5,3 WR,Marlon Moore,28,2010,58,71,92,76,86,71,1,3 WR,Terrelle Pryor,27,2011,81,51,90,70,89,82,1.7,1 OL,Cameron Erving,23,2015,93,58,93,84,82,85,2.4,4 OL,John Greco,31,2008,81,82,94,83,93,82,1.6,4 OL,Garth Gerhart,27,2012,63,66,81,85,77,74,0.5,1 OL,Austin Pasztor,25,2012,61,76,95,79,80,74,1.7,1 OL,Michael Bowie,24,2013,66,67,89,82,85,72,0.6,4 OL,Joe Thomas,31,2007,95,92,98,94,90,96,11.5,7 OL,Joel Bitonio,24,2014,87,72,92,83,93,91,1.4,4 OL,Alvin Bailey,24,2013,61,70,92,90,87,78,2,3 K,Patrick Murray,24,2014,63,64,90,92,85,70,0.5,1 K,Andy Lee,33,2004,62,82,85,94,93,63,3.4,6 S,Jordan Poyer,25,2013,71,50,92,76,92,50,0.6,4 S,Don Jones,26,2013,66,61,91,70,92,85,1.7,1 S,Sean Baker,27,2012,63,56,93,68,86,73,0.5,1 S,Rahim Moore,26,2011,84,82,95,89,89,81,1.9,1 S,Ibraheim Campbell,24,2015,83,50,82,62,89,79,0.7,4 CB,Justin Gilbert,24,2014,102,68,95,82,91,45,3.2,4 CB,Tramon Williams,33,2006,55,89,93,85,91,44,7,3 CB,Charles Gaines,23,2015,73,47,87,76,91,35,0.6,4 CB,Pierre Desir,25,2014,77,48,93,83,92,47,0.7,4 CB,Joe Haden,27,2010,98,86,95,89,90,72,13.5,5 CB,Jamar Taylor,25,2013,86,50,85,77,94,74,0.9,4 DL,Desmond Bryant,30,2009,57,79,85,85,78,83,6.8,5 DL,Danny Shelton,22,2015,93,65,90,93,80,88,2.9,4 DL,Xavier Cooper,24,2015,83,46,92,81,77,61,0.7,4 DL,John Hughes,28,2012,80,75,91,85,71,85,3.2,4 LB,Paul Kruger,30,2009,82,87,94,85,82,87,8.1,5 LB,Barkevious Mingo,25,2013,101,74,90,85,79,74,4.1,4 LB,Nate Orchard,23,2015,88,65,92,64,67,70,1.1,4 LB,Armonty Bryant,26,2013,71,54,95,76,70,60,0.6,4 LB,Cam Johnson,26,2012,67,55,76,78,84,51,0.6,2 LB,Justin Tuggle,26,2013,61,72,92,81,68,75,0.7,1 LB,Tank Carder,27,2012,75,66,84,83,64,66,1.3,2 LB,Jackson Jeffcoat,24,2014,62,44,80,68,84,66,0.5,3 LB,Demario Davis,27,2012,80,78,91,92,67,78,4,2 END_PLAYERS Pittsburgh Steelers,PIT QB,Bruce Gradkowski,33,2006,64,74,87,78,75,35,1,1 QB,Ben Roethlisberger,34,2004,82,95,90,104,100,77,21.9,4 QB,Landry Jones,27,2013,81,53,95,92,77,20,0.6,4 RB,David Johnson,28,2009,62,53,90,78,89,66,0.8,1 RB,Fitzgerald Toussaint,26,2014,62,85,85,50,85,80,0.6,1 RB,Le'Veon Bell,24,2013,86,79,94,94,98,105,1,4 RB,Daryl Richardson,26,2012,67,66,85,47,88,82,0.6,1 RB,DeAngelo Williams,33,2006,79,87,88,44,85,81,2,2 WR,Markus Wheaton,25,2013,81,75,93,79,89,83,0.7,4 WR,Ladarius Green,26,2012,80,69,83,81,89,70,5,4 WR,Darrius Heyward-Bey,29,2009,97,74,86,71,92,74,1.3,3 WR,Sammie Coates,23,2015,83,48,88,76,91,65,0.7,4 WR,Martavis Bryant,24,2014,82,70,93,87,101,98,0.7,4 WR,Antonio Brown,27,2010,68,96,94,109,100,106,8.4,5 OL,Chris Hubbard,25,2013,62,61,91,77,73,81,0.6,1 OL,BJ Finney,24,2015,64,63,92,76,75,78,0.5,1 OL,Cody Wallace,31,2008,78,72,94,85,74,81,1.2,3 OL,Ryan Harris,31,2007,81,84,63,84,78,85,2,2 OL,Alejandro Villanueva,27,2014,63,50,88,77,71,76,0.5,2 OL,David DeCastro,26,2012,90,78,92,94,83,88,2,4 OL,Ramon Foster,30,2009,57,82,87,88,78,86,3.2,3 OL,Marcus Gilbert,28,2011,84,79,94,91,84,85,6.2,5 OL,Maurkice Pouncey,26,2010,88,80,92,91,91,89,8.8,5 K,Shaun Suisham,34,2005,53,77,88,87,96,67,3.2,3 K,Chris Boswell,25,2014,63,50,94,92,73,71,0.5,2 S,Mike Mitchell,29,2009,82,76,90,72,89,90,5,5 S,Shamarko Thomas,25,2013,81,55,85,76,93,90,0.7,4 S,Robert Golden,25,2012,60,59,92,71,88,66,1.7,3 S,Ross Ventrone,29,2010,61,66,88,65,89,65,0.6,2 S,Will Allen,33,2004,65,78,88,72,83,50,1.1,1 CB,Doran Grant,23,2015,83,55,92,83,93,64,0.5,2 CB,Senquez Golson,22,2015,88,61,88,85,92,42,1,4 CB,Artie Burns,21,2016,90,65,85,85,90,70,2.4,4 CB,William Gay,31,2007,70,93,93,87,89,69,2.5,3 CB,Ross Cockrell,24,2014,82,62,93,81,93,66,0.6,1 DL,Cameron Heyward,27,2011,84,83,88,90,89,88,9.9,6 DL,Stephon Tuitt,23,2014,87,72,84,91,82,82,1.2,4 DL,Brian Mihalik,23,2015,69,55,87,82,72,73,0.5,1 DL,Ricardo Mathews,28,2010,63,73,88,83,82,72,0.8,1 DL,Clifton Geathers,28,2010,65,71,95,81,82,79,0.8,1 DL,Daniel McCullers,23,2014,72,59,88,88,75,86,0.6,4 LB,Bud Dupree,23,2015,93,64,90,82,85,53,2.3,4 LB,Vince Williams,26,2013,71,72,81,85,77,72,0.6,4 LB,Jarvis Jones,26,2013,91,66,80,74,88,66,2.2,4 LB,Jordan Zumwalt,24,2014,72,50,85,77,72,71,0.6,4 LB,Ryan Shazier,24,2014,92,68,88,85,80,66,2.4,4 LB,Lawrence Timmons,30,2007,85,90,92,93,89,88,9.6,5 LB,Steven Johnson,28,2012,60,70,85,82,64,69,0.8,1 LB,James Harrison,38,2002,51,93,90,82,91,88,1.4,2 LB,Anthony Chickillo,23,2015,73,55,92,79,73,80,0.5,1 LB,Arthur Moats,28,2010,68,78,88,80,89,78,2.5,3 END_PLAYERS Buffalo Bills,BUF QB,Tyrod Taylor,26,2011,70,65,87,90,75,63,1.1,3 QB,EJ Manuel,26,2013,91,65,87,93,75,66,2.2,4 RB,Karlos Williams,23,2015,78,55,80,84,90,64,0.6,4 RB,Mike Gillislee,25,2013,77,52,88,64,86,76,0.6,1 RB,LeSean McCoy,27,2009,82,87,90,59,88,84,8,5 RB,James Wilder Jr,24,2014,64,47,85,87,76,53,0.5,2 RB,Jerome Felton,29,2008,71,82,94,71,78,50,2.3,4 RB,Dan Herron,27,2012,72,75,81,77,85,73,0.5,1 WR,Sammy Watkins,23,2014,102,74,91,89,92,94,5,4 WR,Leonard Hankerson,27,2011,79,73,83,80,90,65,0.8,1 WR,Marquise Goodwin,25,2013,82,67,90,74,95,72,0.7,4 WR,Dezmin Lewis,23,2015,69,45,87,87,90,72,0.5,3 WR,Charles Clay,27,2011,74,80,97,88,80,65,7.6,5 WR,Robert Woods,24,2013,86,75,94,85,90,77,1.2,4 WR,Walter Powell,24,2014,73,50,88,80,90,86,0.6,3 WR,Greg Salas,27,2011,80,68,79,82,85,67,0.8,1 WR,Marcus Easley,28,2010,80,65,73,74,89,58,1.8,4 OL,John Miller,22,2015,83,63,85,86,84,75,0.7,4 OL,Cyril Richardson,25,2014,78,55,92,89,81,69,0.6,2 OL,Eric Wood,30,2009,82,86,80,87,82,80,6.4,4 OL,Cyrus Kouandjio,22,2014,88,49,78,84,83,72,1.2,4 OL,Jordan Mills,25,2013,76,72,93,83,83,69,1.7,1 OL,Cordy Glenn,26,2012,85,81,89,93,84,92,12,5 OL,Seantrel Henderson,24,2014,67,71,82,83,78,82,0.6,4 OL,Richie Incognito,32,2005,75,73,79,93,82,78,5.3,3 OL,Fernando Velasco,31,2008,59,79,88,83,76,79,1,1 OL,Ryan Groy,25,2014,62,58,96,86,74,79,0.6,2 K,Colton Schmidt,25,2013,62,66,92,87,88,64,0.6,1 K,Dan Carpenter,30,2008,56,80,83,96,93,58,2.5,4 K,Jordan Gay,26,2013,62,64,90,95,78,70,0.6,2 S,Jonathan Meeks,26,2013,77,49,93,74,84,72,0.6,2 S,Colt Anderson,30,2009,58,64,85,71,89,68,0.8,1 S,Robert Blanton,26,2012,75,77,96,82,90,74,0.8,1 S,Duke Williams,25,2013,81,61,94,80,89,83,0.7,4 S,Jonathan Dowling,24,2014,68,55,88,76,90,77,0.6,2 S,Aaron Williams,26,2011,84,75,90,80,88,68,6.5,4 CB,Mario Butler,27,2011,63,64,95,74,89,40,0.6,1 CB,Stephon Gilmore,25,2012,90,78,94,99,94,68,3,4 CB,Ronald Darby,22,2015,88,56,87,72,92,39,1.1,4 CB,Nickell Robey,24,2013,61,74,87,78,92,44,2.1,2 CB,Corey White,26,2012,75,69,97,79,88,80,0.8,1 CB,Corey Graham,30,2007,70,83,88,92,89,55,4.1,4 CB,Sterling Moore,26,2011,59,78,92,84,91,62,0.8,1 CB,Sammy Seamster,25,2014,63,42,92,74,90,44,0.5,3 DL,Max Valles,21,2015,74,48,92,65,79,42,0.5,3 DL,Corbin Bryant,28,2011,61,68,88,86,75,66,1.7,1 DL,Jerry Hughes,27,2010,83,80,91,66,71,68,9,5 DL,Lavar Edwards,26,2013,77,65,95,72,79,70,0.6,2 DL,Jerel Worthy,26,2012,87,65,92,82,76,75,0.6,3 DL,Kyle Williams,33,2006,69,95,82,90,92,91,7.4,3 DL,Manny Lawson,31,2006,85,81,93,72,58,75,3,4 DL,Marcell Dareus,26,2011,99,82,94,104,92,94,16.1,6 DL,Shaq Lawson,22,2016,95,65,85,90,88,85,2.6,4 DL,TJ Barnes,26,2013,62,67,86,91,76,79,0.6,2 LB,Preston Brown,23,2014,87,75,97,85,66,77,0.8,4 LB,Kevin Reddick,26,2013,62,60,89,79,60,71,0.6,2 LB,Randell Johnson,25,2014,72,66,85,76,82,55,0.6,4 LB,Lorenzo Alexander,33,2005,55,80,90,79,87,82,0.9,1 LB,Zach Brown,26,2012,85,74,90,85,66,72,1.3,1 LB,Jamari Lattimore,27,2011,60,73,90,81,67,72,0.5,1 END_PLAYERS Miami Dolphins,MIA QB,Zac Dysert,26,2013,69,55,90,85,73,30,0.5,1 QB,Logan Thomas,23,2014,83,52,88,94,72,69,0.6,2 QB,Matt Moore,31,2007,56,76,90,82,73,20,1.8,2 QB,Ryan Tannehill,27,2012,100,78,94,91,87,67,19.3,4 RB,Daniel Thomas,28,2011,85,55,85,60,85,80,0.8,1 RB,Isaiah Pead,26,2012,87,65,84,46,91,75,0.7,1 RB,Damien Williams,24,2014,62,52,89,67,90,83,0.5,3 RB,Jay Ajayi,23,2015,78,52,74,69,87,81,0.6,4 WR,Dion Sims,25,2013,81,62,79,74,79,46,0.7,4 WR,Kenny Stills,24,2013,76,77,92,87,92,85,0.6,4 WR,Jarvis Landry,23,2014,87,76,90,91,86,66,0.9,4 WR,Jordan Cameron,27,2011,79,75,85,87,85,74,7.5,2 WR,Matt Hazel,24,2014,73,55,91,77,88,72,0.5,1 WR,Griff Whalen,26,2012,61,72,93,81,85,73,0.7,1 WR,DeVante Parker,23,2015,93,61,78,87,91,63,2.7,4 OL,Anthony Steen,26,2014,64,50,86,80,74,79,0.5,1 OL,Jermon Bushrod,31,2007,71,85,92,90,72,87,1.5,1 OL,Shelley Smith,29,2010,65,74,88,80,80,73,0.7,1 OL,Jacques McClendon,28,2010,74,71,75,86,81,74,0.8,1 OL,Mike Pouncey,26,2011,89,81,95,88,87,81,9,5 OL,Billy Turner,24,2014,88,64,95,85,78,84,0.8,4 OL,Dallas Thomas,26,2013,81,73,90,83,75,72,0.7,4 OL,Ja'Wuan James,24,2014,92,74,96,83,79,81,2.1,4 OL,Jamil Douglas,24,2015,83,53,93,85,71,81,0.7,4 OL,Vinston Painter,26,2013,78,56,83,85,76,77,0.5,1 OL,Sam Young,28,2010,69,74,93,83,77,76,0.9,1 OL,Branden Albert,31,2008,86,88,89,90,87,94,9.4,5 OL,Kraig Urbik,30,2009,77,85,95,93,70,85,1.3,2 OL,Laremy Tunsil,21,2016,95,71,85,88,90,92,3.1,4 K,Andrew Franks,23,2015,63,65,85,80,80,70,0.5,3 K,Matt Darr,23,2015,63,65,85,80,80,70,0.5,3 S,Reshad Jones,28,2010,73,81,91,82,88,88,7,4 S,Walt Aikens,25,2014,77,48,93,84,89,69,0.7,4 S,Michael Thomas,27,2012,61,54,90,73,89,67,0.7,1 S,Isa Abdul-Quddus,27,2011,60,63,88,76,90,74,4.3,3 S,Louis Delmas,29,2009,65,79,77,85,91,82,2.3,1 CB,Tyler Patmon,25,2014,62,62,94,77,87,47,0.6,1 CB,Byron Maxwell,28,2011,74,79,87,92,88,75,10.5,6 CB,Chimdi Chekwa,27,2011,80,63,94,73,93,50,0.8,1 CB,Bobby McCain,22,2015,78,41,84,84,89,40,0.6,4 CB,Ifo Ekpre-Olomu,22,2015,69,55,67,76,87,49,0.6,4 DL,Earl Mitchell,28,2010,78,81,90,80,84,68,4,4 DL,Andre Branch,26,2012,85,70,89,68,83,67,2.8,1 DL,Dion Jordan,26,2013,102,52,85,66,64,70,5.1,4 DL,Mario Williams,31,2006,94,86,90,99,87,74,8.5,2 DL,Cameron Wake,34,2005,57,87,92,96,96,74,7.5,2 DL,Ndamukong Suh,29,2010,98,84,93,108,97,92,19.1,6 DL,Jordan Phillips,23,2015,88,45,75,88,76,85,1.1,4 DL,Terrence Fede,24,2014,67,57,94,76,68,73,0.6,4 DL,Charles Tuaau,24,2015,64,46,90,84,75,83,0.5,1 DL,Jason Jones,30,2008,81,75,92,85,85,75,0.5,1 DL,DeAndre Coleman,25,2014,63,52,95,88,72,77,0.6,2 LB,James-Michael Johnson,26,2012,80,72,90,83,55,76,0.8,1 LB,Kiko Alonso,25,2013,86,85,85,92,70,94,1.1,4 LB,Jelani Jenkins,24,2013,81,75,85,77,67,77,0.7,4 LB,Spencer Paysinger,27,2011,59,80,90,83,62,78,0.8,1 LB,Zach Vigil,25,2015,63,54,91,76,54,56,0.5,3 LB,Koa Misi,29,2010,83,84,90,90,86,88,4.3,4 LB,Chris McCain,24,2014,62,67,93,66,67,68,0.5,3 END_PLAYERS New England Patriots,NE QB,Jimmy Garoppolo,24,2014,87,57,95,90,80,47,0.9,4 QB,Tom Brady,38,2000,58,99,90,104,107,20,20.5,2 RB,Dion Lewis,25,2011,75,66,76,52,87,83,1.3,2 RB,James Develin,27,2010,61,79,92,78,68,37,0.8,1 RB,LeGarrette Blount,29,2010,58,80,87,96,83,62,1,1 RB,Tyler Gaffney,25,2014,72,60,79,84,89,54,0.5,1 RB,Malcolm Brown,23,2015,64,45,87,83,89,49,1.9,4 RB,Brandon Bolden,26,2012,60,70,86,83,87,55,1.2,2 RB,Joey Iosefa,25,2015,69,40,78,81,79,48,0.5,1 RB,James White,24,2014,77,54,88,64,86,75,0.7,4 WR,Chris Hogan,27,2011,61,66,88,81,84,49,4,3 WR,Rob Gronkowski,27,2010,83,86,73,104,82,50,9,6 WR,Julian Edelman,30,2009,62,90,88,105,84,85,4.3,4 WR,Danny Amendola,30,2008,57,89,78,88,82,87,4.1,2 WR,Matthew Slater,30,2008,71,81,90,74,86,70,2,2 WR,Aaron Dobson,24,2013,86,67,84,79,92,71,0.9,4 WR,Keshawn Martin,26,2012,80,70,88,78,90,87,1.5,2 WR,Nate Washington,32,2005,53,87,94,86,84,80,1.1,1 WR,Martellus Bennett,29,2008,82,81,89,85,78,35,5.1,4 WR,Clay Harbor,28,2010,73,71,89,75,83,71,1.5,2 WR,Chris Harper,22,2015,64,49,95,74,86,67,0.5,2 OL,Sebastian Vollmer,31,2009,82,88,78,92,84,93,4.2,4 OL,Cameron Fleming,23,2014,77,65,93,85,83,73,0.6,1 OL,Jonathan Cooper,26,2013,102,64,79,88,78,81,3.6,4 OL,Nate Solder,28,2011,89,85,87,87,88,81,10,2 OL,Bryan Stork,25,2014,82,78,78,81,86,81,0.7,4 OL,Shaq Mason,22,2015,78,42,91,86,87,66,0.7,4 OL,LaAdrian Waddle,24,2013,61,74,88,87,77,92,1.2,2 OL,Marcus Cannon,28,2011,74,74,87,91,79,82,4.5,2 OL,Josh Kline,26,2013,61,65,90,83,82,75,1.7,2 K,Ryan Allen,26,2013,61,70,95,90,88,70,2,3 K,Stephen Gostkowski,32,2006,74,89,88,104,105,62,4.3,4 S,Nate Ebner,26,2012,70,60,95,63,89,91,1.2,2 S,Brock Vereen,23,2014,78,66,92,78,93,78,0.6,1 S,Devin McCourty,28,2010,83,89,95,96,90,63,9.5,5 S,Duron Harmon,25,2013,81,64,92,77,88,75,0.7,4 S,Jordan Richards,23,2015,88,44,93,66,90,76,0.9,4 S,Patrick Chung,28,2009,82,81,93,85,91,85,2.7,3 S,Cedric Thompson,23,2015,79,39,90,69,90,69,0.5,1 CB,Malcolm Butler,26,2014,62,70,90,94,87,60,0.5,3 CB,Logan Ryan,25,2013,81,74,94,88,90,66,0.7,4 CB,EJ Biggers,29,2009,68,74,90,74,93,36,0.8,1 CB,Darryl Roberts,25,2015,68,42,79,69,95,62,0.6,4 DL,Ishmaa'ily Kitchen,27,2012,65,68,83,91,76,80,0.7,2 DL,Terrance Knighton,29,2009,82,83,94,93,81,93,1.8,1 DL,Markus Kuhn,30,2012,65,71,92,86,73,76,1.2,1 DL,Anthony Johnson,23,2014,63,58,92,78,76,76,0.6,2 DL,Frank Kearse,27,2011,65,68,88,90,65,77,0.8,1 DL,Chris Long,31,2008,97,83,86,89,84,78,2.4,1 DL,Rob Ninkovich,32,2006,69,91,92,76,88,73,3.5,2 DL,Trey Flowers,22,2015,83,55,94,87,83,84,0.7,4 DL,Jabaal Sheard,27,2011,84,76,89,77,68,83,5.5,2 DL,Alan Branch,31,2007,80,80,87,92,77,83,2.2,2 DL,Kelcy Quarles,24,2014,63,53,91,84,78,73,0.5,2 LB,Jonathan Freeny,27,2011,60,71,87,75,81,67,1.8,1 LB,Jamie Collins,26,2013,86,83,96,92,93,84,0.9,4 LB,Rufus Johnson,25,2013,73,58,86,76,83,55,0.5,1 LB,Shea McClellin,26,2012,90,77,91,88,69,75,3,3 LB,Dont'a Hightower,26,2012,85,84,90,95,88,87,1.9,4 LB,Ramon Humber,28,2009,57,71,87,78,52,73,1,1 END_PLAYERS New York Jets,NYJ QB,Geno Smith,25,2013,86,66,95,91,77,72,1.3,4 QB,Bryce Petty,25,2015,83,48,79,91,72,58,0.7,4 RB,Zac Stacy,25,2013,77,75,92,84,86,57,0.6,4 RB,Taiwan Jones,22,2015,65,60,88,54,92,84,0.5,3 RB,Khiry Robinson,26,2013,61,70,88,85,81,62,1.2,1 RB,Taiwan Jones,22,2015,65,60,88,38,15,62,0.5,3 RB,Bilal Powell,27,2011,75,75,88,63,86,73,3.8,3 RB,Matt Forte,30,2008,81,91,93,78,86,85,4,3 RB,Tommy Bohanon,25,2013,72,66,88,76,75,48,0.6,4 WR,Kenbrell Thompkins,27,2013,62,73,94,76,86,73,1.7,1 WR,Titus Davis,23,2015,64,58,84,78,89,64,0.5,2 WR,Jace Amaro,23,2014,88,62,87,83,85,65,1.1,4 WR,Kellen Davis,30,2008,72,73,90,69,81,35,1,1 WR,Jeremy Ross,28,2011,61,74,87,75,88,89,0.8,1 WR,Devin Smith,24,2015,88,59,92,80,92,72,1.5,4 WR,Eric Decker,29,2010,79,89,92,91,84,73,7.3,5 WR,Zach Sudfeld,27,2013,62,64,80,75,78,45,0.6,1 WR,Brandon Marshall,32,2006,75,92,92,100,82,66,8.7,3 WR,Quincy Enunwa,24,2014,74,48,93,76,90,62,0.5,3 OL,Willie Colon,33,2006,65,83,78,86,68,87,1,1 OL,James Carpenter,27,2011,85,79,86,90,79,82,4.8,4 OL,Brian Winters,24,2013,87,72,89,84,76,69,0.7,4 OL,Ryan Clady,29,2008,86,90,83,89,78,88,6,1 OL,Jarvis Harrison,24,2015,80,44,84,88,83,81,0.6,2 OL,Breno Giacomini,30,2008,72,81,93,83,81,78,4.5,4 OL,Nick Mangold,32,2006,79,97,92,91,93,90,7.7,7 OL,Wesley Johnson,25,2014,78,63,94,83,79,73,0.6,2 OL,Dakota Dozier,25,2014,78,55,90,83,82,75,0.6,4 K,Nick Folk,31,2007,66,76,84,88,90,65,3,4 K,Randy Bullock,26,2012,65,72,87,95,88,74,0.7,1 S,Marcus Gilchrist,27,2011,85,75,90,76,89,55,5.5,4 S,Dion Bailey,24,2014,63,62,82,65,86,86,0.5,2 S,Rontez Miles,27,2013,64,59,92,71,89,86,0.5,3 S,Calvin Pryor,23,2014,93,73,93,87,89,95,2.1,4 S,Jaiquawn Jarrett,26,2011,65,66,90,79,90,87,1.5,1 CB,Dee Milliner,24,2013,102,67,87,82,93,77,3.2,4 CB,Darrelle Revis,30,2007,86,98,88,104,92,66,14,5 CB,Darryl Morris,25,2013,61,59,92,80,94,46,0.8,1 CB,Kendall James,24,2014,74,43,90,78,92,39,0.5,2 CB,Buster Skrine,27,2011,75,79,89,85,89,41,6.3,4 CB,Marcus Williams,25,2014,63,66,93,83,89,70,0.5,3 CB,Dexter McDougle,25,2014,82,51,75,75,89,73,0.7,4 DL,Jarvis Jenkins,28,2011,84,74,80,91,75,83,3,2 DL,Steve McLendon,30,2009,58,82,90,87,81,84,3.5,3 DL,Leonard Williams,22,2015,105,56,85,87,85,90,4.7,4 DL,Mike Catapano,25,2013,72,51,93,82,69,73,0.6,2 DL,Shelby Harris,24,2014,69,45,90,84,77,76,0.5,1 DL,Muhammad Wilkerson,26,2011,85,82,94,104,93,97,15.7,1 DL,Sheldon Richardson,25,2013,92,81,89,98,90,88,2.5,4 DL,Deon Simon,25,2015,75,48,73,93,71,85,0.6,2 LB,Darron Lee,21,2016,95,65,85,80,75,89,2.5,4 LB,David Harris,32,2007,81,90,96,85,70,88,7.2,3 LB,Trevor Reilly,28,2014,68,56,85,76,67,70,0.6,4 LB,Bruce Carter,28,2011,84,75,77,83,67,74,0.8,1 LB,Lorenzo Mauldin,23,2015,83,55,82,79,62,67,0.8,4 LB,Josh Martin,24,2013,62,60,90,76,77,61,0.6,2 LB,Julian Stanford,25,2012,62,68,87,81,56,60,0.7,1 LB,Erin Henderson,29,2008,58,81,87,82,60,79,2,2 LB,Calvin Pace,35,2003,65,85,92,81,80,84,2.4,2 END_PLAYERS Houston Texans,HOU QB,Ryan Griffin,26,2013,71,52,90,81,76,35,0.6,4 QB,Brandon Weeden,32,2012,90,70,89,91,69,20,2,2 QB,Tom Savage,26,2014,77,54,90,94,80,45,0.6,4 QB,Brock Osweiler,25,2012,85,60,96,95,77,20,18,4 RB,Alfred Blue,25,2014,72,70,79,84,84,60,0.6,4 RB,Lamar Miller,25,2012,81,77,87,67,92,85,6.5,4 RB,Kenny Hilliard,24,2015,70,46,76,87,82,54,0.5,2 RB,Jonathan Grimes,26,2012,62,62,91,69,86,82,0.7,1 RB,Jay Prosch,23,2014,72,56,95,75,80,47,0.6,4 WR,Cecil Shorts,28,2011,79,78,87,84,86,81,3,2 WR,Will Fuller,22,2016,95,75,85,85,96,97,2.5,4 WR,Keith Mumphery,24,2015,75,49,92,74,88,77,0.6,4 WR,Jaelen Strong,22,2015,88,45,87,86,91,59,0.8,4 WR,DeAndre Hopkins,24,2013,86,83,94,103,85,65,1.9,4 WR,Josh Lenz,25,2013,64,56,87,74,91,77,0.5,2 OL,Chris Clark,30,2008,58,78,88,87,78,89,3,2 OL,Andrew McDonald,27,2012,63,65,96,81,75,79,0.6,2 OL,Jeff Allen,26,2012,85,72,85,83,83,74,7,4 OL,Tony Bergstrom,29,2012,80,71,90,84,78,73,2.9,2 OL,Duane Brown,30,2008,81,91,93,91,87,93,8.9,6 OL,Xavier Su'a-Filo,25,2014,87,57,94,85,78,79,1.4,4 OL,Derek Newton,28,2011,70,77,85,86,96,79,5.3,5 OL,Dalton Freeman,26,2013,63,67,96,89,78,72,0.6,2 OL,Jeff Adams,26,2012,63,69,94,75,72,82,0.5,1 OL,Chad Slade,24,2015,65,57,91,82,78,74,0.5,3 OL,Karim Barton,24,2014,64,47,92,84,82,72,0.5,2 OL,Oday Aboushi,25,2013,77,71,95,78,84,77,0.6,4 OL,David Quessenberry,25,2013,72,63,95,80,84,75,0.6,4 K,Nick Novak,34,2005,57,78,92,86,91,60,1,1 K,Shane Lechler,39,2000,63,92,85,86,87,62,1.8,1 S,Eddie Pleasant,27,2012,61,67,94,74,87,80,1.1,2 S,Kurtis Drummond,24,2015,65,41,92,78,89,60,0.5,3 S,Lonnie Ballentine,23,2014,68,44,89,72,93,90,0.6,4 S,Antonio Allen,27,2012,65,73,83,81,87,71,0.8,1 CB,Robert Nelson,26,2014,63,46,90,74,89,54,0.6,2 CB,Kevin Johnson,23,2015,95,64,89,87,89,64,2.5,4 CB,Terrance Mitchell,24,2014,68,55,94,81,92,46,0.6,3 CB,AJ Bouye,24,2013,61,71,83,76,93,45,1.7,1 CB,Johnathan Joseph,32,2006,84,92,86,87,88,40,6.8,2 CB,Kareem Jackson,28,2010,88,84,90,95,90,55,8.5,4 CB,Andre Hal,24,2014,72,65,94,76,90,45,0.6,4 DL,Gerald Rivers,25,2013,63,52,88,71,65,64,0.6,2 DL,Jeoffrey Pagan,23,2014,72,52,80,87,72,85,0.6,4 DL,Christian Covington,22,2015,75,50,76,77,82,69,0.6,4 DL,JJ Watt,27,2011,89,92,97,107,109,107,16.7,6 DL,Vince Wilfork,34,2004,82,98,89,96,81,91,4.5,2 DL,Devon Still,26,2012,86,64,84,82,82,82,0.7,1 DL,Brandon Dunn,23,2014,64,52,90,78,70,81,0.6,2 LB,Max Bullough,24,2014,64,55,92,76,70,75,0.6,3 LB,Whitney Mercilus,25,2012,85,77,95,87,85,74,6.5,4 LB,Brian Cushing,29,2009,87,88,94,81,82,87,8.8,6 LB,Akeem Dent,28,2011,80,74,86,87,78,74,2.3,2 LB,Jadeveon Clowney,23,2014,102,65,76,87,90,65,5.6,4 LB,Benardrick McKinney,23,2015,90,67,94,89,81,57,1.3,4 LB,John Simon,25,2013,77,59,86,82,85,74,1.7,1 LB,Reshard Cliett,24,2015,75,40,86,78,64,50,0.6,4 END_PLAYERS Indianapolis Colts,IND QB,Scott Tolzien,28,2011,59,62,95,83,76,44,1.8,2 QB,Stephen Morris,23,2014,64,42,85,90,73,70,0.5,3 QB,Andrew Luck,26,2012,100,85,98,105,99,87,5.5,4 RB,Trey Williams,23,2015,63,46,81,37,90,84,0.5,2 RB,Tyler Varga,22,2015,63,55,90,78,83,42,0.5,3 RB,Jordan Todman,26,2011,71,70,85,61,90,81,0.8,1 RB,Frank Gore,33,2005,78,93,86,83,81,69,4,3 RB,Robert Turbin,26,2012,80,72,83,84,90,72,0.8,1 WR,Donte Moncrief,22,2014,82,66,91,83,92,63,0.7,4 WR,Phillip Dorsett,23,2015,88,59,77,82,96,82,2,4 WR,Josh Boyce,25,2013,83,51,90,72,92,65,0.5,1 WR,Brian Tyms,27,2012,61,68,92,79,88,66,0.6,1 WR,TY Hilton,26,2012,80,87,85,103,92,95,13,5 WR,Dwayne Allen,26,2012,85,75,87,82,75,45,7.4,4 OL,Jeremy Vujnovich,25,2014,64,42,88,90,72,78,0.5,1 OL,Lance Louis,31,2009,65,75,90,86,76,70,0.7,2 OL,Jonotthan Harrison,24,2014,62,72,94,87,82,72,0.5,3 OL,Joe Reitz,29,2008,59,77,94,87,79,80,2.7,3 OL,Hugh Thornton,24,2013,81,73,85,91,76,77,0.7,4 OL,Ryan Kelly,23,2016,95,65,85,85,85,81,2.6,4 OL,Anthony Castonzo,27,2011,89,85,87,88,85,96,11,4 OL,Kevin Graf,25,2014,64,52,92,85,80,72,0.6,2 OL,Mitchell Van Dyk,25,2014,69,54,92,75,83,69,0.5,1 OL,Jack Mewhort,24,2014,87,73,93,89,87,78,0.9,4 K,Adam Vinatieri,43,2096,44,93,90,88,91,60,3,2 K,Pat McAfee,29,2009,67,88,95,97,92,68,2.9,5 S,Mike Adams,35,2004,52,83,90,88,85,64,2.4,2 S,Clayton Geathers,24,2015,83,47,91,69,90,87,0.7,4 S,Winston Guy,26,2012,71,65,88,72,88,83,0.7,2 S,Dezmen Southward,24,2014,88,65,92,75,93,79,0.6,2 CB,Tevin Mitchel,23,2015,73,49,77,79,91,35,0.6,4 CB,Vontae Davis,28,2009,82,89,96,104,92,66,9,4 CB,Patrick Robinson,28,2010,83,79,90,77,91,49,4.5,3 CB,Darius Butler,30,2009,82,79,95,77,93,65,2.5,2 CB,D'Joun Smith,23,2015,88,49,90,83,91,42,0.8,4 CB,Jalil Brown,28,2011,79,56,90,75,93,63,0.8,2 DL,David Parry,24,2015,78,55,78,91,71,81,0.6,4 DL,Zach Kerr,25,2014,62,62,82,87,66,75,0.5,3 DL,Arthur Jones,30,2010,73,74,85,91,79,82,6.6,5 DL,Kendall Langford,30,2008,81,87,92,86,75,82,4.3,4 DL,Ricky Lumpkin,27,2011,64,70,84,88,74,78,0.6,2 DL,Joe Vellano,27,2013,61,69,93,85,79,82,0.6,1 DL,Henry Anderson,24,2015,83,64,82,81,79,85,0.7,4 DL,Billy Winn,27,2012,65,72,87,78,56,80,0.5,4 LB,Nate Irving,28,2011,84,75,82,89,78,79,2.4,3 LB,Robert Mathis,35,2003,66,93,89,80,78,93,9,4 LB,D'Qwell Jackson,32,2006,79,92,84,87,77,91,5.5,4 LB,Erik Walden,30,2008,71,76,92,80,88,80,4,4 LB,Amarlo Herrera,24,2015,74,53,92,79,74,72,0.5,2 LB,Sio Moore,26,2013,86,73,89,82,84,75,0.8,4 LB,Trent Cole,33,2005,68,88,89,77,72,89,4.3,1 END_PLAYERS Jacksonville Jaguars,JAX QB,Blake Bortles,24,2014,102,67,96,91,74,65,5.2,4 QB,Chad Henne,30,2008,81,73,90,89,70,20,4,2 RB,Joe Banyard,27,2012,61,53,92,66,88,76,0.6,2 RB,TJ Yeldon,22,2015,88,60,84,79,88,74,1.5,4 RB,Corey Grant,24,2015,63,42,82,38,96,71,0.5,3 RB,Chris Ivory,28,2010,58,78,83,96,86,64,6.4,5 RB,Jonas Gray,25,2012,62,62,91,92,84,55,0.6,2 RB,Denard Robinson,25,2013,76,72,84,52,90,75,0.6,4 WR,Arrelious Benn,27,2010,84,66,70,72,83,63,0.6,2 WR,Bryan Walters,28,2010,60,71,92,79,81,74,0.7,2 WR,Marcedes Lewis,32,2006,80,87,93,74,73,42,4,3 WR,Justin Blackmon,26,2012,103,45,94,86,88,70,4.6,4 WR,Neal Sterling,24,2015,73,44,90,74,85,59,0.6,4 WR,Allen Robinson,22,2014,87,70,89,84,85,66,0.9,4 WR,Julius Thomas,28,2011,74,76,90,88,84,67,9.2,5 WR,Marqise Lee,24,2014,87,64,85,79,88,86,1.3,4 WR,Allen Hurns,24,2014,62,67,92,90,87,70,10.2,4 WR,Rashad Greene,23,2015,78,58,88,79,88,85,0.6,4 OL,Jeff Linkenbach,29,2010,58,76,92,85,73,81,0.5,1 OL,AJ Cann,24,2015,88,63,93,89,85,79,0.8,4 OL,Mackenzy Bernadeau,30,2008,61,78,93,96,84,72,1.5,2 OL,Luke Bowanko,25,2014,72,75,92,86,86,74,0.6,4 OL,Kadeem Edwards,25,2014,77,47,93,86,82,76,0.6,2 OL,Kelvin Beachum,27,2012,65,82,95,84,83,97,9,5 OL,Josh Wells,25,2014,62,61,90,83,86,76,0.5,3 OL,Patrick Omameh,26,2013,62,70,92,82,80,75,0.5,1 OL,Luke Joeckel,24,2013,101,79,87,87,85,78,5.3,4 OL,Tyler Shatley,25,2014,63,54,92,95,77,73,0.5,3 OL,Brandon Linder,24,2014,82,76,93,88,85,93,0.7,4 OL,Jermey Parnell,29,2009,59,75,88,85,89,85,6.4,5 K,Brad Nortman,26,2012,70,77,93,89,93,84,2.2,4 K,Jason Myers,25,2015,63,65,85,80,80,70,0.5,3 S,James Sample,23,2015,83,49,85,71,89,75,0.7,4 S,Josh Evans,25,2013,76,71,89,71,86,87,0.6,4 S,Craig Loston,26,2014,62,57,83,72,93,85,0.5,3 S,Earl Wolff,26,2013,77,67,90,72,93,73,1.3,1 S,Tashaun Gipson,25,2012,60,81,94,94,88,72,7.2,5 CB,Prince Amukamara,27,2011,89,77,90,87,92,65,5.5,1 CB,Davon House,26,2011,74,77,95,82,91,56,6.1,4 CB,Jalen Ramsey,21,2016,105,65,85,83,95,70,5.8,4 CB,Demetrius McCray,25,2013,71,71,94,77,93,59,0.6,4 CB,Aaron Colvin,24,2014,82,64,76,84,87,55,0.7,4 CB,Dwayne Gratz,26,2013,86,69,97,77,93,72,0.8,4 CB,Peyton Thompson,25,2012,63,55,90,70,89,34,0.6,2 DL,Roy Miller,28,2009,77,76,96,87,76,79,4.1,4 DL,Sen'Derrick Marks,29,2009,82,84,86,82,93,75,4.5,4 DL,Malik Jackson,26,2012,75,74,90,77,91,83,14.3,6 DL,Tyson Alualu,29,2010,88,81,95,87,78,77,3,2 DL,Dante Fowler Jr,21,2015,103,52,79,87,72,73,5.9,4 DL,Jared Odrick,28,2010,84,83,77,83,87,77,8.5,5 DL,Ryan Davis,27,2012,61,69,90,74,76,64,2.6,1 DL,Chris Smith,24,2014,77,56,93,85,82,65,0.6,4 DL,Abry Jones,24,2013,61,64,87,86,75,69,2.6,1 LB,Hayes Pullard,24,2015,73,60,94,75,50,72,0.6,4 LB,Telvin Smith,25,2014,77,73,90,86,65,70,0.6,4 LB,Joplo Bartu,25,2013,61,75,90,82,62,74,0.6,2 LB,Paul Posluszny,31,2007,80,92,87,88,65,94,5,3 LB,Jordan Tripp,25,2014,77,45,90,75,72,74,0.6,2 LB,Dan Skuta,30,2009,57,80,92,87,83,82,4.1,5 LB,Bjoern Werner,25,2013,91,73,92,76,82,74,0.5,1 LB,Sean Porter,25,2013,81,60,78,77,66,69,0.6,2 END_PLAYERS Tennessee Titans,TEN QB,Matt Cassel,34,2005,58,80,84,82,73,36,2,1 QB,Alex Tanney,28,2012,63,49,88,86,76,49,0.5,2 QB,Marcus Mariota,22,2015,103,60,93,89,88,79,6.1,4 RB,Antonio Andrews,23,2014,62,49,92,88,78,45,0.6,1 RB,Dexter McCluster,27,2010,83,76,85,39,88,85,3,3 RB,David Cobb,23,2015,78,60,90,86,84,62,0.6,4 RB,Jalston Fowler,25,2015,83,60,75,72,77,39,0.7,4 RB,DeMarco Murray,28,2011,84,89,85,96,89,97,6.3,4 RB,Bishop Sankey,23,2014,87,69,86,56,89,80,1,4 WR,Harry Douglas,30,2008,76,81,88,87,84,88,3.8,3 WR,Delanie Walker,31,2006,64,80,86,78,83,65,6.7,2 WR,Tre McBride,23,2015,68,39,87,86,92,79,0.5,2 WR,Kendall Wright,26,2012,90,82,96,90,90,85,2.1,4 WR,Rishard Matthews,26,2012,65,70,89,77,83,57,5,3 WR,Justin Hunter,25,2013,86,69,84,72,90,74,1.4,4 WR,Dorial Green-Beckham,23,2015,88,49,87,85,89,69,1.4,4 WR,Anthony Fasano,32,2006,79,81,88,75,71,16,2.6,2 OL,Brian Schwenke,25,2013,81,74,92,91,80,74,0.7,4 OL,Chance Warmack,24,2013,91,78,98,92,93,77,3,4 OL,Josue Matias,23,2015,64,55,90,78,73,81,0.5,2 OL,Jamon Meredith,30,2009,65,71,90,87,78,73,0.7,2 OL,Quinton Spain,24,2015,63,55,95,84,80,70,0.5,3 OL,Andy Gallik,24,2015,73,60,92,86,73,79,0.6,4 OL,Jeremiah Poutasi,21,2015,88,56,92,86,82,73,0.8,4 OL,Jack Conklin,21,2016,105,70,85,91,91,84,4,4 OL,Taylor Lewan,24,2014,92,72,89,90,91,84,2.9,4 OL,Ben Jones,26,2012,80,77,92,87,82,76,4.4,4 K,Ryan Succop,29,2009,62,80,96,90,85,66,2.4,3 K,Brett Kern,30,2008,56,84,78,90,94,72,3,5 S,Marqueston Huff,24,2014,82,65,95,76,91,65,0.7,4 S,Da'Norris Searcy,27,2011,79,76,92,80,86,75,5.9,4 S,Daimion Stafford,25,2013,66,57,92,74,87,67,0.6,4 S,Rashad Johnson,30,2009,77,78,95,71,91,82,2,1 CB,Brandon Harris,26,2013,65,67,92,77,90,59,0.7,1 CB,Brice McCain,29,2009,68,76,88,82,92,46,2.2,2 CB,Jason McCourty,28,2009,67,85,92,87,94,60,7.2,6 CB,Perrish Cox,29,2010,74,80,92,86,87,44,5,3 CB,BW Webb,26,2013,81,61,90,73,93,40,0.6,2 CB,Blidi Wreh-Wilson,26,2013,86,67,85,78,91,57,0.7,4 CB,Antwon Blake,25,2012,60,60,92,74,97,65,1.5,1 DL,Al Woods,29,2010,78,73,88,93,71,82,3.5,3 DL,DaQuan Jones,24,2014,82,64,90,85,78,86,0.7,4 DL,Jurrell Casey,26,2011,79,84,92,91,92,89,9,4 DL,Karl Klug,28,2011,74,71,84,80,88,73,1.9,2 DL,Angelo Blackson,23,2015,83,53,90,76,74,81,0.7,4 DL,Ropati Pitoitua,31,2008,58,78,80,91,76,91,2.9,3 LB,Avery Williamson,24,2014,77,75,92,89,70,74,0.6,4 LB,Deiontrez Mount,23,2015,73,46,88,79,75,42,0.6,4 LB,Curtis Grant,23,2015,64,56,76,77,62,51,0.5,1 LB,Derrick Morgan,27,2010,88,82,87,76,93,85,6.8,4 LB,Wesley Woodyard,29,2008,56,83,95,80,56,86,3.9,4 LB,David Bass,25,2013,66,65,95,67,70,58,0.5,2 LB,Sean Spence,27,2012,81,72,76,77,65,75,2.5,1 LB,Brian Orakpo,29,2009,87,82,81,85,93,79,7.8,4 END_PLAYERS Denver Broncos,DEN QB,Paxton Lynch,22,2016,90,65,85,94,88,50,2.4,4 QB,Trevor Siemian,24,2015,68,52,78,79,74,59,0.6,4 QB,Mark Sanchez,29,2009,97,74,84,86,79,47,4.5,2 RB,Kapri Bibbs,23,2014,63,50,92,84,83,62,0.5,1 RB,Juwan Thompson,24,2014,62,61,94,81,86,74,0.5,3 RB,CJ Anderson,25,2013,61,73,94,92,84,87,4.5,4 RB,Ronnie Hillman,24,2012,85,74,78,52,90,77,2,1 RB,Cyrus Gray,26,2012,71,61,90,53,88,79,0.7,1 WR,Jordan Norwood,29,2009,58,69,87,75,82,87,0.9,1 WR,Demaryius Thomas,28,2010,88,88,89,104,90,65,14,5 WR,Virgil Green,27,2011,69,75,88,74,85,79,2.8,3 WR,Emmanuel Sanders,29,2010,78,89,86,93,89,89,5,3 WR,Cody Latimer,23,2014,87,49,82,86,90,55,0.9,4 WR,Bennie Fowler,25,2014,63,58,82,71,93,63,0.5,1 WR,DeVier Posey,26,2012,86,59,85,75,91,64,0.7,1 OL,Sam Brenner,26,2013,61,61,89,87,81,73,0.6,1 OL,Russell Okung,28,2010,98,87,82,88,84,89,10.6,5 OL,Ty Sambrailo,24,2015,88,62,90,77,77,81,1,4 OL,Michael Schofield,25,2014,82,66,94,78,75,79,0.7,4 OL,Matt Paradis,26,2014,73,54,85,81,81,74,0.5,1 OL,Max Garcia,24,2015,78,64,88,89,73,77,0.7,4 OL,Donald Stephenson,27,2012,85,70,84,85,83,74,4.7,3 OL,James Ferentz,27,2014,63,62,90,79,73,81,0.5,2 OL,Robert Myers,24,2015,73,46,86,87,76,71,0.5,2 OL,Darrion Weems,27,2012,62,65,87,87,77,79,0.6,1 K,Brandon McManus,24,2013,62,72,95,107,88,85,0.5,2 K,Britton Colquitt,31,2009,57,78,92,87,89,66,3.9,3 S,Brandian Ross,26,2011,60,74,93,74,91,51,0.7,1 S,Darian Stewart,27,2010,58,80,89,81,87,90,2.1,2 S,Shiloh Keo,28,2011,75,67,90,74,88,89,0.8,1 S,TJ Ward,29,2010,83,81,90,89,90,91,5.6,4 S,Josh Bush,27,2012,65,64,88,78,90,61,0.6,2 CB,Lorenzo Doss,22,2015,78,50,92,78,92,29,0.6,4 CB,Kayvon Webster,25,2013,81,62,91,74,93,70,0.7,4 CB,Taurean Nixon,25,2015,68,42,85,71,90,47,0.5,3 CB,Aqib Talib,30,2008,86,91,87,100,92,67,9.5,6 CB,Bradley Roby,24,2014,87,71,87,94,93,72,1.7,4 DL,Jared Crick,26,2012,75,75,74,78,83,82,2,2 DL,Darius Kilgo,24,2015,73,43,88,92,69,87,0.6,4 DL,Derek Wolfe,26,2012,85,78,77,89,81,84,9.2,4 DL,Vance Walker,29,2009,67,79,91,79,84,79,2,2 DL,Antonio Smith,34,2004,65,87,96,85,87,65,2,1 DL,Phil Taylor,28,2011,90,74,84,92,82,86,0.8,1 DL,Sylvester Williams,27,2013,86,72,93,84,76,78,1.9,4 LB,Corey Nelson,24,2014,67,57,82,78,77,47,0.6,4 LB,Shane Ray,23,2015,93,61,89,74,75,62,2.3,4 LB,Brandon Marshall,26,2012,75,83,89,89,74,84,8.7,3 LB,DeMarcus Ware,33,2005,83,87,90,73,90,85,10,3 LB,Dekoda Watson,28,2010,68,69,84,76,64,67,0.8,1 LB,Todd Davis,24,2014,62,53,94,83,62,67,0.5,2 LB,Von Miller,27,2011,99,86,93,104,99,97,14.1,1 END_PLAYERS Kansas City Chiefs,KC QB,Tyler Maguirre,25,2014,77,53,79,85,82,41,0.6,4 QB,Tyree Natee,24,2013,61,52,87,93,69,20,1,2 QB,Deondre Francois,21,2015,99,99,99,84,82,40,17,4 RB,Dalvin Cook,21,2015,99,96,97,67,78,50,2.3,3 RB,Trey Millard,24,2014,68,45,84,78,84,50,0.5,1 RB,Spencer Ware,24,2013,72,55,92,85,84,47,1.8,2 RB,Knile Davis,24,2013,81,72,75,91,92,74,0.7,4 RB,Charcandrick West,25,2014,62,44,87,65,90,74,1.8,2 RB,Jamaal Charles,25,2013,91,91,87,69,92,95,9.1,2 RB,Darrin Reaves,23,2014,63,50,92,46,87,75,0.5,1 WR,Travis Rudolph,19,2015,99,99,99,92,90,84,0.6,2 WR,De'Anthony Thomas,23,2014,82,68,73,81,92,92,0.7,4 WR,Travis Kelce,22,2015,99,99,92,94,84,65,9.4,5 WR,Jeremy Maclin,28,2009,87,87,83,93,87,91,11,5 WR,Rod Streater,28,2012,62,77,90,85,88,74,0.8,1 WR,Albert Wilson,23,2014,62,69,91,80,91,85,0.5,3 WR,Chris Conley,23,2015,83,56,90,79,94,64,0.8,4 WR,Da'Ron Brown,24,2015,69,46,93,82,88,75,0.5,1 WR,Jason Avant,33,2006,65,84,92,84,79,54,1,1 OL,Eric Fisher,25,2013,101,75,91,85,85,80,5.5,4 OL,Mitch Morse,24,2015,88,62,87,92,72,78,1.2,4 OL,Laurent Duvernay-Tardif,25,2014,72,48,93,92,77,74,0.6,4 OL,Reid Fragel,25,2013,69,59,90,90,80,70,0.6,1 OL,Mitchell Schwartz,27,2012,85,78,84,85,72,89,6.6,5 OL,Zach Fulton,24,2014,72,68,92,85,82,78,0.6,4 OL,Jah Reid,27,2011,79,66,95,91,83,75,3.4,3 OL,Jordan Devey,28,2013,63,72,95,81,76,76,0.6,1 K,Dustin Colquitt,34,2005,73,82,95,89,94,65,3.8,5 K,Cairo Santos,24,2014,101,99,95,85,88,100,0.5,3 S,Daniel Sorensen,26,2014,62,45,93,65,89,66,0.5,2 S,Eric Berry,21,2015,98,105,99,75,89,84,10.8,1 S,Stevie Brown,28,2010,65,74,92,72,91,77,0.8,1 S,Ron Parker,28,2011,99,76,88,82,91,72,5,5 CB,Jamell Fleming,27,2012,80,60,81,85,88,64,0.8,1 CB,Deveron Carr,25,2013,63,53,91,73,90,68,0.5,1 CB,Steven Nelson,23,2015,83,52,94,82,90,60,0.7,4 CB,Marcus Peters,23,2015,99,99,99,86,89,90,2.4,4 CB,Phillip Gaines,25,2014,82,66,88,87,94,40,0.7,4 CB,Marcus Cooper,26,2013,66,67,93,76,88,74,0.6,4 DL,Dontari Poe,25,2012,90,78,93,97,88,90,2.8,4 DL,Jaye Howard,27,2012,80,72,87,76,86,73,5,2 DL,DeMarcus Walker,19,2015,99,97,99,92,99,85,0.7,1 DL,Jimmy Staten,25,2014,79,50,89,86,71,84,0.5,1 DL,Nick Williams,25,2013,62,68,93,83,80,72,0.5,2 DL,Allen Bailey,27,2011,79,76,92,89,84,78,6.3,4 DL,David King,26,2013,68,62,92,83,75,81,0.6,1 DL,Rakeem Nunez-Roches,22,2015,73,55,78,80,74,76,0.6,4 LB,Dezman Moses,27,2012,62,63,91,71,83,62,0.7,1 LB,Ramik Wilson,23,2015,83,58,92,84,62,70,0.7,4 LB,Tamba Hali,18,2016,99,92,95,82,95,94,7,3 LB,Josh Mauga,29,2009,58,76,75,82,72,79,2.8,3 LB,Derrick Johnson,20,2015,99,93,99,93,61,94,7,3 LB,Justin Houston,21,2015,99,95,93,92,98,88,16.8,6 LB,Dee Ford,25,2014,92,97,97,76,73,63,2,4 LB,DJ Alexander,24,2015,78,46,76,77,52,53,0.6,4 LB,Andy Mulumba,26,2013,62,62,88,72,68,63,0.6,1 LB,Frank Zombo,29,2010,58,77,85,82,74,74,1.2,3 LB,Jonathan Massaquoi,28,2012,76,72,91,73,83,66,0.7,1 END_PLAYERS Oakland Raiders,OAK QB,Matt McGloin,26,2013,61,71,92,79,72,45,2.6,1 QB,Derek Carr,25,2014,87,70,92,96,80,51,1.3,4 RB,Latavius Murray,25,2013,71,66,78,85,92,63,0.6,4 RB,Marcel Reece,30,2008,58,83,95,78,87,60,3.7,3 RB,Roy Helu Jr,27,2011,79,79,79,63,90,75,2.1,2 WR,Seth Roberts,25,2014,63,61,90,72,90,72,0.5,1 WR,Amari Cooper,22,2015,103,68,84,97,92,86,5.7,4 WR,Andre Holmes,28,2011,60,71,82,80,86,74,2,1 WR,Michael Crabtree,28,2009,87,82,85,87,84,72,8.5,4 WR,Nathan Palmer,27,2012,63,60,90,74,92,84,0.5,1 OL,Donald Penn,33,2006,54,90,89,94,83,95,6,2 OL,Rodney Hudson,26,2011,84,85,92,82,90,89,8.9,5 OL,Kelechi Osemele,26,2012,85,81,80,92,94,84,11.7,5 OL,Khalif Barnes,34,2005,65,83,85,90,72,77,1.5,1 OL,Austin Howard,29,2010,58,81,90,89,84,71,6,5 OL,Gabe Jackson,24,2014,82,75,92,91,85,91,0.7,4 OL,Menelik Watson,27,2013,86,69,92,84,78,72,1.2,4 OL,Jon Feliciano,24,2015,78,64,90,81,78,73,0.7,4 K,Marquette King,27,2012,60,75,90,94,90,82,3.3,5 K,Giorgio Tavecchio,25,2012,64,55,90,90,85,72,0.5,2 K,Sebastian Janikowski,38,2000,78,92,68,107,83,65,3.8,4 S,Reggie Nelson,32,2007,85,81,95,87,92,74,4.3,2 S,Karl Joseph,22,2016,95,65,85,89,92,85,3,4 S,Nate Allen,28,2010,83,79,81,81,89,67,3,1 S,Larry Asante,28,2010,65,64,87,68,86,79,1.5,1 S,Chris Hackett,22,2015,64,39,93,66,89,62,0.5,1 S,Brynden Trawick,26,2013,61,48,92,71,83,83,0.8,1 S,Charles Woodson,39,1997,65,94,85,99,88,55,3.2,1 S,Dewey McDonald,26,2014,63,48,93,73,89,80,0.6,2 CB,Neiko Thorpe,26,2012,61,51,92,71,90,35,2.6,1 CB,Dexter McDonald,24,2015,68,46,90,73,91,61,0.6,4 CB,David Amerson,24,2013,86,68,91,77,92,63,1,4 CB,Sean Smith,28,2009,82,88,96,105,90,71,9.5,4 CB,Keith McGill,27,2014,82,49,84,84,88,71,0.7,4 CB,DJ Hayden,25,2013,91,72,76,83,89,77,2.6,4 DL,Justin Ellis,25,2014,82,72,88,84,75,84,0.7,4 DL,Denico Autry,25,2014,62,62,88,75,80,73,0.6,1 DL,Stacy McGee,26,2013,71,69,85,85,77,80,0.6,4 DL,Dan Williams,29,2010,83,87,94,96,82,95,6.3,4 DL,Mario Edwards Jr,22,2015,88,48,83,88,79,87,1.5,4 DL,Damontre Moore,23,2013,82,65,90,65,89,64,0.7,1 LB,Colton Underwood,24,2014,64,64,88,78,82,63,0.5,1 LB,John Lotulelei,24,2013,61,62,87,83,65,64,0.6,2 LB,Neiron Ball,23,2015,78,46,67,79,71,48,0.6,4 LB,Khalil Mack,25,2014,103,78,96,105,101,89,4.7,4 LB,Ben Heeney,23,2015,78,57,85,79,64,69,0.6,4 LB,Malcolm Smith,26,2011,64,77,88,77,61,75,3.5,2 LB,Daren Bates,25,2013,61,64,88,79,54,45,0.7,1 LB,Korey Toomer,27,2012,77,57,75,73,57,41,0.6,1 LB,Bruce Irvin,26,2012,90,75,94,89,91,75,9.3,4 LB,Aldon Smith,26,2011,99,76,88,88,95,78,5.8,2 END_PLAYERS San Diego Chargers,SD QB,Philip Rivers,34,2004,92,89,98,87,90,20,20.8,4 QB,Kellen Clemens,33,2006,80,70,85,83,73,20,1.1,1 QB,Zach Mettenberger,24,2014,72,62,82,95,76,39,0.6,4 RB,Danny Woodhead,31,2008,57,84,79,42,88,83,2.8,2 RB,Melvin Gordon,23,2015,93,63,92,69,91,89,2.7,4 RB,Donald Brown,29,2009,83,78,80,81,86,52,1,1 RB,Dreamius Smith,23,2015,64,44,84,78,90,64,0.5,3 RB,Branden Oliver,25,2014,63,65,90,67,87,83,0.5,3 WR,Isaiah Burse,24,2014,63,47,93,75,86,83,0.5,1 WR,Stevie Johnson,29,2008,67,87,95,87,86,79,3.5,3 WR,Malcom Floyd,34,2004,65,88,88,88,82,40,3.9,3 WR,Javontee Herndon,24,2014,64,53,89,72,90,85,0.5,2 WR,Travis Benjamin,26,2012,80,75,82,76,93,87,6,4 WR,Dontrelle Inman,27,2011,63,67,92,79,87,72,0.6,1 WR,Antonio Gates,36,2003,51,95,77,101,78,69,5.5,2 WR,Keenan Allen,24,2013,81,78,88,103,85,64,11.3,4 WR,Torrence Allen,25,2014,63,62,91,81,91,66,0.5,1 OL,Trevor Robinson,26,2012,61,73,90,89,81,73,0.9,2 OL,Chris Watt,25,2014,82,68,87,90,86,75,0.7,4 OL,DJ Fluker,25,2013,91,76,92,91,89,72,2.9,4 OL,Kenny Wiggins,27,2011,62,73,92,84,81,72,0.6,1 OL,JD Walton,29,2010,65,80,89,78,72,82,0.7,1 OL,Joe Barksdale,28,2011,79,77,90,88,87,74,5.9,4 OL,King Dunlap,30,2008,61,84,82,95,94,82,7,4 OL,Chris Hairston,27,2011,81,74,92,87,85,81,1.5,2 OL,Orlando Franklin,28,2011,84,82,88,93,87,90,7.3,5 OL,Johnnie Troutman,28,2012,65,75,82,92,73,72,0.6,4 OL,Matt Slauson,30,2009,67,84,85,91,89,78,0.5,2 K,Kasey Redfern,24,2014,64,65,85,80,80,70,0.5,1 K,Josh Lambo,25,2015,63,44,92,88,86,74,0.5,3 S,Darrell Stuckey,26,2010,79,65,75,81,87,64,1.9,4 S,Jahleel Addae,26,2013,61,72,92,75,86,81,2.6,1 S,Dwight Lowery,30,2008,76,80,90,78,89,54,2.4,3 S,Adrian Phillips,24,2014,64,52,92,74,89,64,0.6,2 CB,Greg Ducre,24,2014,63,54,88,70,90,47,0.5,3 CB,Brandon Flowers,30,2008,81,92,90,92,92,76,9.1,4 CB,Casey Hayward,26,2012,85,80,87,95,88,45,5.1,3 CB,Richard Crawford,25,2012,72,57,90,80,89,42,0.6,1 CB,Jason Verrett,25,2014,87,72,86,85,93,65,2,4 CB,Steve Williams,25,2013,76,67,86,73,92,42,0.6,4 CB,Craig Mager,24,2015,83,45,92,79,92,62,0.7,4 CB,Cassius Vaughn,28,2010,65,73,88,76,89,35,0.7,1 DL,Ryan Carrethers,25,2014,77,59,94,94,72,89,0.6,4 DL,Darius Philon,22,2015,73,40,89,79,63,64,0.6,4 DL,Tenny Palepoi,25,2014,63,65,88,89,77,77,0.5,3 DL,Corey Liuget,26,2011,89,83,95,91,84,88,10.3,5 DL,Brandon Mebane,31,2007,75,89,88,92,81,85,4.5,3 DL,Damion Square,27,2013,62,69,87,80,81,68,0.7,1 DL,Sean Lissemore,28,2010,64,78,90,84,79,76,2,3 DL,Ben Gardner,25,2014,68,52,83,74,79,76,0.5,1 LB,Tourek Williams,25,2013,71,66,84,79,84,57,0.6,4 LB,Joe Mays,30,2008,65,81,95,87,76,77,0.9,1 LB,Denzel Perryman,22,2015,88,66,93,84,68,71,1.2,4 LB,Jeremiah Attaochu,23,2014,87,67,90,72,89,65,1.1,4 LB,Cordarro Law,27,2012,65,62,90,71,69,55,0.5,2 LB,Manti Te'o,25,2013,86,77,91,85,71,84,1.3,4 LB,Melvin Ingram,27,2012,91,73,88,78,78,68,2.1,4 LB,Joey Bosa,20,2016,105,65,85,81,92,76,6.5,4 LB,Kyle Emanuel,24,2015,78,47,92,70,84,62,0.6,4 END_PLAYERS Chicago Bears,CHI QB,David Fales,25,2014,73,54,94,83,81,42,0.6,2 QB,Brian Hoyer,30,2009,57,73,86,84,74,40,2,1 QB,Jay Cutler,33,2006,84,70,90,98,76,25,18.1,7 RB,Ka'Deem Carey,23,2014,82,65,90,84,82,72,0.7,4 RB,Jeremy Langford,24,2015,83,49,88,81,92,57,0.7,4 RB,Senorise Perry,24,2014,62,51,83,44,92,74,0.5,3 RB,Jacquizz Rodgers,26,2011,74,75,87,78,86,73,0.8,1 WR,Eddie Royal,30,2008,81,87,90,86,88,88,5,3 WR,Marquess Wilson,23,2013,66,67,92,81,87,74,0.6,4 WR,Marc Mariani,29,2010,68,78,87,72,86,85,0.8,1 WR,Deonte Thompson,27,2012,61,60,86,69,93,74,0.8,1 WR,Kevin White,22,2015,103,53,92,88,94,67,4.1,4 WR,Zach Miller,31,2009,68,66,82,72,84,70,2.8,2 WR,Alshon Jeffery,26,2012,85,82,91,93,88,66,14.6,1 OL,Martin Wallace,26,2013,63,60,90,83,80,72,0.5,1 OL,Kyle Long,27,2013,91,76,89,84,83,92,2.1,4 OL,Hroniss Grasu,24,2015,88,62,87,76,74,83,0.8,4 OL,Charles Leno,24,2014,67,66,90,79,75,78,0.6,4 OL,Ted Larsen,29,2010,68,80,92,79,83,78,1.7,1 OL,Will Montgomery,33,2006,65,88,92,92,79,87,1,1 OL,Jason Weaver,27,2013,63,61,88,88,77,74,0.5,2 OL,Bobby Massie,26,2012,80,75,90,83,83,80,6,3 OL,Nate Chandler,27,2012,61,71,88,83,83,72,0.5,1 OL,Nick Becton,26,2013,62,57,90,76,73,76,0.7,1 K,Pat O'Donnell,25,2014,72,72,85,91,87,87,0.6,4 K,Robbie Gould,34,2005,53,91,90,104,96,54,3.8,4 S,Ryan Mundy,31,2008,65,80,91,74,86,85,1.5,2 S,Antrel Rolle,33,2005,65,87,89,81,88,60,3.8,3 S,Omar Bolden,27,2012,80,61,74,74,87,51,0.8,1 S,Adrian Amos,23,2015,78,42,92,81,92,55,0.6,4 S,Chris Prosinski,29,2011,79,70,93,70,90,67,0.8,1 CB,Alan Ball,31,2007,65,82,87,87,86,58,3,1 CB,Bryce Callahan,24,2015,63,41,88,70,94,41,0.5,2 CB,Demontre Hurst,25,2013,62,64,92,79,91,35,0.6,2 CB,Tracy Porter,29,2008,81,79,76,71,92,40,4,3 CB,Kyle Fuller,24,2014,92,75,88,86,92,73,2.4,4 CB,Sherrick McManis,28,2010,73,65,76,79,89,67,1.4,2 DL,Greg Scruggs,25,2012,66,55,90,81,81,66,0.7,2 DL,Eddie Goldman,22,2015,88,60,85,81,77,85,1.4,4 DL,Mitch Unrein,29,2010,59,73,88,84,79,75,1.1,2 DL,Ego Ferguson,24,2014,87,67,89,83,76,84,1,4 DL,Will Sutton,24,2014,82,65,87,82,81,80,0.7,4 DL,Akiem Hicks,26,2012,80,76,93,82,86,83,5,2 LB,Jerrell Freeman,30,2008,60,77,92,83,79,80,4,3 LB,Lamin Barrow,25,2014,77,55,93,78,59,64,0.6,2 LB,Lamarr Houston,28,2010,83,82,87,82,83,83,7,5 LB,Sam Acho,27,2011,79,71,95,82,82,76,0.8,1 LB,Willie Young,30,2010,68,76,90,73,72,74,3,3 LB,Danny Trevathan,26,2012,70,78,94,92,75,83,6.1,4 LB,Pernell McPhee,27,2011,74,85,87,82,96,85,7.8,5 LB,Leonard Floyd,23,2016,105,65,85,80,85,80,3.9,4 LB,Cornelius Washington,26,2013,71,60,87,91,86,77,0.6,4 LB,Christian Jones,25,2014,62,69,94,76,57,60,0.5,3 END_PLAYERS Detroit Lions,DET QB,Matthew Stafford,28,2009,97,76,84,99,85,39,17.7,3 QB,Dan Orlovsky,32,2005,69,70,91,79,72,20,1.1,1 RB,George Winn,25,2013,62,54,90,86,87,66,0.6,1 RB,Zach Zenner,24,2015,63,51,88,82,86,48,0.5,3 RB,Stevan Ridley,27,2011,84,74,82,90,81,69,0.8,1 RB,Ameer Abdullah,23,2015,88,61,84,61,87,87,1,4 RB,Theo Riddick,25,2013,71,68,92,64,82,87,0.6,4 WR,Eric Ebron,23,2014,92,62,90,78,86,75,3.1,4 WR,Ryan Spadola,25,2013,63,52,92,76,88,72,0.6,2 WR,Brandon Pettigrew,31,2009,87,81,89,75,75,40,4,4 WR,Lance Moore,32,2005,65,84,86,81,82,77,1.1,1 WR,Corey Fuller,25,2013,77,65,90,78,90,79,0.6,1 WR,Andre Caldwell,31,2008,76,79,75,76,89,85,0.9,1 WR,Jeremy Kerley,27,2011,74,81,90,86,84,90,0.9,1 WR,TJ Jones,23,2014,73,51,94,80,89,81,0.6,4 WR,Golden Tate,27,2010,83,85,89,92,88,98,6.2,5 WR,Marvin Jones,26,2012,75,74,75,84,88,75,8,5 WR,Andre Roberts,28,2010,79,77,93,78,89,85,0.5,1 OL,Larry Warford,25,2013,86,79,97,89,82,94,0.8,4 OL,Michael Ola,28,2014,62,70,92,84,76,79,0.6,2 OL,Cornelius Lucas,24,2014,62,69,92,75,75,79,0.5,3 OL,Corey Robinson,24,2015,68,46,91,89,79,79,0.6,4 OL,Gabe Ikard,25,2014,62,71,92,73,73,76,0.6,2 OL,Riley Reiff,27,2012,90,77,93,87,89,87,2,4 OL,Taylor Decker,21,2016,95,65,85,85,94,81,2.7,4 OL,Laken Tomlinson,24,2015,88,64,92,87,85,78,2.1,4 OL,Travis Swanson,25,2014,82,73,94,82,85,73,0.7,4 OL,Geoff Schwartz,29,2008,62,76,79,91,86,75,0.8,1 K,Sam Martin,26,2013,76,80,92,96,95,72,0.6,4 K,Matt Prater,31,2006,55,79,85,96,89,71,3,3 S,Tavon Wilson,26,2012,85,68,95,78,87,69,1.1,2 S,James Ihedigbo,32,2007,65,80,91,77,83,85,1.6,2 S,Rafael Bush,29,2010,59,74,87,80,85,90,1.5,1 S,Johnson Bademosi,25,2012,60,69,93,77,88,65,2.3,2 S,Glover Quin,30,2009,77,84,88,91,91,73,4.7,5 S,Don Carey,29,2009,67,68,87,73,92,74,1,3 CB,Nevin Lawson,25,2014,77,61,89,76,89,56,0.6,4 CB,Darius Slay,25,2013,86,77,92,87,93,74,1.3,4 CB,Crezdon Butler,29,2010,73,63,95,76,89,42,0.8,1 CB,Josh Wilson,31,2007,65,82,91,74,92,70,1,1 CB,Alex Carter,21,2015,84,50,84,83,89,55,0.8,4 CB,Darrin Walls,28,2011,59,71,92,81,89,65,0.8,1 CB,Quandre Diggs,23,2015,73,49,92,78,86,68,0.6,4 DL,Haloti Ngata,32,2006,84,95,92,96,85,92,6,2 DL,Jermelle Cudjo,29,2010,65,67,92,81,79,73,0.7,1 DL,Khyri Thornton,26,2014,83,55,90,87,65,67,0.7,4 DL,Wallace Gilberry,31,2008,56,78,90,74,84,67,1.3,1 DL,Caraun Reid,24,2014,77,60,86,75,83,72,0.6,4 DL,Khyri Thornton,26,2014,83,55,90,87,65,67,0.7,4 DL,Devin Taylor,26,2013,76,66,91,66,82,68,0.6,4 DL,Gabe Wright,24,2015,83,46,90,89,72,64,0.7,4 DL,Ezekiel Ansah,27,2013,65,74,94,94,93,76,4.6,4 DL,Stefan Charles,28,2013,61,69,90,78,80,75,1.8,1 DL,Tyrunn Walker,26,2012,60,75,85,82,77,71,1.6,1 DL,Darryl Tapp,31,2006,65,73,89,71,64,65,1,1 LB,Jon Bostic,25,2013,86,74,95,85,63,73,1,4 LB,Josh Bynes,26,2011,60,72,84,83,71,73,0.9,2 LB,Zaviar Gooden,26,2013,82,68,84,75,61,66,0.6,1 LB,Tahir Whitehead,26,2012,75,79,96,91,77,81,4,2 LB,Khaseem Greene,27,2013,82,70,85,76,58,69,0.6,2 LB,DeAndre Levy,29,2009,77,97,95,96,80,95,8.4,4 LB,Jerry Franklin,28,2012,61,65,95,82,55,68,0.7,1 LB,Kyle Van Noy,26,2014,87,62,87,82,81,72,1.3,4 LB,Stephen Tulloch,31,2006,74,91,91,90,74,94,5.1,5 END_PLAYERS Green Bay Packers,GB QB,Aaron Rodgers,32,2005,83,95,88,105,102,90,22,5 QB,Brett Hundley,23,2015,78,47,90,91,68,70,0.6,4 RB,John Crockett,24,2015,64,38,90,71,85,78,0.5,2 RB,James Starks,30,2010,68,75,78,80,86,71,3,2 RB,Aaron Ripkowski,23,2015,73,52,88,60,82,37,0.6,4 RB,Eddie Lacy,25,2013,86,85,89,97,85,82,0.8,4 WR,Jordy Nelson,31,2008,81,96,87,106,97,79,9.8,4 WR,Jeff Janis,25,2014,67,64,95,79,93,55,0.6,4 WR,Davante Adams,23,2014,87,70,92,85,86,74,1,4 WR,Randall Cobb,25,2011,84,87,87,94,88,94,10,4 WR,Jared Abbrederis,25,2014,72,62,89,81,88,69,0.5,3 WR,Richard Rodgers,24,2014,82,68,88,79,78,62,0.7,4 WR,Ty Montgomery,23,2015,83,55,84,75,89,77,0.7,4 OL,David Bakhtiari,24,2013,81,82,89,84,73,92,0.7,4 OL,Lane Taylor,26,2013,61,61,90,89,75,73,2.1,2 OL,Josh Sitton,30,2008,71,92,84,92,88,96,6.8,5 OL,Bryan Bulaga,27,2010,88,80,77,87,83,94,6.8,5 OL,TJ Lang,28,2009,77,89,92,86,91,90,5.2,4 OL,JC Tretter,25,2013,81,65,85,89,79,79,0.6,4 OL,Corey Linsley,25,2014,77,75,91,95,89,87,0.6,4 OL,Don Barclay,27,2012,60,75,89,82,77,79,0.7,1 K,Mason Crosby,31,2007,65,76,90,93,91,72,4,4 K,Tim Masthay,29,2009,58,75,92,86,79,77,1.4,4 S,Micah Hyde,25,2013,76,73,93,82,88,45,0.6,4 S,Chris Banjo,26,2013,62,52,94,75,89,74,0.7,1 S,Morgan Burnett,27,2010,83,80,85,67,88,85,6.2,4 S,Ha Ha Clinton-Dix,23,2014,92,71,95,84,88,83,2.1,4 CB,Sam Shields,28,2010,58,82,90,88,88,50,9.8,4 CB,Damarious Randall,23,2015,88,53,90,83,91,61,2,4 CB,LaDarius Gunter,24,2015,63,42,91,75,90,70,0.5,3 CB,Quinten Rollins,23,2015,88,49,92,83,88,74,0.9,4 CB,Demetri Goodson,27,2014,72,62,75,78,89,56,0.6,4 DL,Christian Ringo,24,2015,74,48,85,80,82,67,0.5,1 DL,Letroy Guion,29,2008,71,77,88,84,82,70,3.7,3 DL,Datone Jones,25,2013,86,66,87,76,67,70,1.9,4 DL,Mike Pennel,25,2014,62,64,92,87,76,78,0.5,3 DL,Kenny Clark,20,2016,90,65,85,90,89,86,2.3,4 DL,Mike Daniels,27,2012,75,82,84,78,75,82,10.3,4 LB,Lerentee McCray,25,2013,61,66,74,73,79,58,0.8,1 LB,Jake Ryan,24,2015,78,58,78,83,75,71,0.7,4 LB,Carl Bradford,23,2014,83,69,95,79,65,72,0.5,1 LB,Sam Barrington,25,2013,66,70,94,87,79,69,0.6,4 LB,Julius Peppers,36,2002,90,94,90,80,78,85,8.7,3 LB,Clay Matthews,30,2009,82,90,88,100,95,98,13.2,5 LB,Nick Perry,26,2012,85,76,97,81,83,73,5.1,1 END_PLAYERS Minnesota Vikings,MIN QB,Teddy Bridgewater,23,2014,87,77,89,87,83,70,1.7,4 QB,Shaun Hill,36,2002,50,79,80,77,73,20,3.3,2 QB,Taylor Heinicke,23,2015,63,48,89,79,77,65,0.5,3 RB,Adrian Peterson,31,2007,95,91,87,104,100,102,14,3 RB,Matt Asiata,28,2011,60,80,95,90,77,40,0.8,1 RB,Zach Line,26,2013,61,51,92,83,83,54,1.7,1 RB,Jerick McKinnon,24,2014,82,64,85,51,93,87,0.7,4 WR,Charles Johnson,27,2013,71,71,90,83,91,69,0.5,3 WR,Jarius Wright,26,2012,80,76,94,83,91,86,3.7,4 WR,Adam Thielen,25,2013,62,71,90,80,88,64,0.6,1 WR,Stefon Diggs,22,2015,78,59,76,84,90,88,0.6,4 WR,Cordarrelle Patterson,25,2013,86,69,94,72,90,95,1.8,4 WR,Laquon Treadwell,21,2016,95,75,85,91,85,85,2.5,4 WR,Kyle Rudolph,26,2011,84,74,78,81,75,49,7.3,5 OL,TJ Clemmings,24,2015,83,45,92,84,85,78,0.7,4 OL,Andre Smith,29,2009,97,77,88,95,85,88,3.5,1 OL,Brandon Fusco,27,2011,74,75,84,89,80,85,4.9,5 OL,Alex Boone,29,2009,58,86,90,90,87,84,6.7,4 OL,Matt Kalil,26,2012,100,84,92,89,82,73,4.9,4 OL,John Sullivan,30,2008,66,93,94,87,90,78,5.6,3 OL,Austin Shepherd,24,2015,68,60,92,73,77,71,0.6,4 OL,Joe Berger,34,2005,63,77,90,85,84,79,1.1,2 K,Jeff Locke,26,2013,76,68,97,87,86,72,0.6,4 K,Blair Walsh,26,2012,70,78,95,104,94,70,3.3,4 S,Michael Griffin,31,2007,85,81,94,74,90,74,2.5,1 S,Andrew Sendejo,28,2010,59,72,90,78,88,81,4,4 S,Harrison Smith,27,2012,85,82,95,92,90,92,10.3,5 CB,Captain Munnerlyn,28,2009,67,84,91,90,92,65,3.8,3 CB,Jabari Price,23,2014,67,48,87,79,90,48,0.6,4 CB,Xavier Rhodes,26,2013,86,78,88,93,90,70,2,4 CB,Terence Newman,37,2003,91,91,88,83,85,65,2.5,1 CB,Melvin White,25,2013,62,69,92,80,83,58,0.6,1 CB,Marcus Sherels,28,2010,59,70,88,70,96,39,2,2 CB,Trae Waynes,23,2015,93,58,88,97,92,40,3.2,4 DL,Justin Trattou,27,2011,60,59,87,75,76,70,0.8,1 DL,Brian Robison,33,2007,75,87,94,82,60,65,5.6,4 DL,Zach Moore,25,2014,72,49,92,78,71,79,0.6,3 DL,Danielle Hunter,21,2015,83,47,90,77,58,65,0.7,4 DL,Bruce Gaston,24,2014,64,58,94,92,78,81,0.6,1 DL,Kenrick Ellis,28,2011,79,69,88,92,81,85,0.8,1 DL,Linval Joseph,27,2010,83,77,87,95,82,88,6.3,5 DL,Scott Crichton,24,2014,87,57,94,83,81,75,0.8,4 DL,Everson Griffen,28,2010,78,82,88,76,94,71,8.5,5 DL,Sharrif Floyd,24,2013,91,76,93,84,88,91,2,4 DL,Tom Johnson,31,2006,59,78,87,81,88,74,2.3,3 DL,Shamar Stephen,25,2014,72,62,90,85,76,85,0.6,4 LB,Eric Kendricks,24,2015,88,63,83,87,57,75,1.3,4 LB,Chad Greenway,33,2006,84,90,89,79,76,87,2.8,1 LB,Casey Matthews,27,2011,65,72,90,82,63,66,0.8,1 LB,Emmanuel Lamur,27,2012,60,72,88,74,63,73,2.8,2 LB,Audie Cole,27,2012,70,73,95,85,73,73,0.8,1 LB,Brandon Watts,25,2014,72,49,87,74,64,49,0.6,2 LB,Anthony Barr,24,2014,102,75,85,85,93,76,3.2,4 LB,Jason Trusnik,32,2007,65,74,88,77,71,76,0.9,1 LB,Travis Lewis,28,2012,70,70,87,80,60,68,0.8,1 LB,Edmond Robinson,24,2015,68,45,88,76,51,45,0.6,4 END_PLAYERS Dallas Cowboys,DAL QB,Tony Romo,36,2003,51,92,85,89,92,74,18,6 QB,Jameill Showers,24,2015,64,37,87,91,63,70,0.5,3 QB,Kellen Moore,26,2012,61,69,96,75,82,20,0.7,2 RB,Darren McFadden,28,2008,97,82,72,80,90,57,1.5,2 RB,Alfred Morris,27,2012,75,83,94,94,83,67,1.8,2 RB,Ezekiel Elliott,20,2016,105,85,90,87,93,85,6.2,4 RB,Lance Dunbar,26,2012,60,69,93,54,91,86,1.3,1 WR,Gavin Escobar,25,2013,86,64,95,83,76,76,1.1,4 WR,Terrance Williams,26,2013,86,78,92,88,87,71,0.7,4 WR,Cole Beasley,27,2012,60,77,91,86,87,82,3.4,4 WR,James Hanna,26,2012,70,70,90,71,89,73,2.8,3 WR,Jason Witten,34,2003,76,97,95,95,76,35,7.4,5 WR,Vince Mayle,25,2015,84,52,91,79,83,62,0.5,3 WR,Rodney Smith,26,2013,62,50,89,72,87,65,0.7,3 WR,Brice Butler,26,2013,71,70,88,77,92,63,0.6,4 WR,Devin Street,25,2014,77,65,90,82,87,59,0.6,4 WR,Dez Bryant,27,2010,88,90,88,108,94,92,14,5 OL,Tyron Smith,25,2011,99,84,87,88,96,94,12.2,8 OL,Jared Smith,26,2013,69,64,74,84,80,72,0.5,2 OL,Doug Free,32,2007,75,86,93,82,92,81,5,3 OL,Zack Martin,25,2014,92,75,97,89,89,96,2.2,4 OL,Bryan Witzmann,26,2014,63,62,94,80,81,71,0.5,1 OL,La'el Collins,22,2015,63,50,92,83,88,76,0.5,3 OL,Joe Looney,25,2012,81,68,85,82,79,68,0.8,2 OL,Travis Frederick,25,2013,86,84,91,90,99,84,1.7,4 K,Dan Bailey,28,2011,59,84,88,103,106,69,3.2,7 K,Chris Jones,25,2013,72,75,92,92,89,82,0.6,4 S,Barry Church,28,2010,58,81,97,71,87,92,2.2,4 S,Danny McCray,28,2010,65,69,89,74,85,73,0.8,1 S,Jeff Heath,25,2013,61,58,91,75,88,65,1.9,4 S,JJ Wilcox,27,2013,81,67,90,76,91,87,0.7,4 CB,Byron Jones,23,2015,88,56,86,85,94,60,2.2,4 CB,Brandon Carr,30,2008,71,83,97,79,92,50,10,5 CB,Morris Claiborne,26,2012,100,69,88,75,89,44,3,1 CB,Isaiah Frey,26,2012,72,67,92,81,89,73,0.6,1 CB,Orlando Scandrick,29,2008,71,84,94,97,92,62,3.8,5 DL,Tyrone Crawford,26,2012,81,73,87,81,89,82,9,5 DL,Jack Crawford,27,2012,75,67,84,69,82,76,1.1,1 DL,Ryan Russell,24,2015,78,49,83,77,80,64,0.6,4 DL,Terrell McClain,27,2011,84,74,87,92,81,82,1,3 DL,DeMarcus Lawrence,24,2014,88,61,92,76,88,68,1.4,4 DL,Randy Gregory,23,2015,88,45,82,73,71,66,1,4 DL,Greg Hardy,27,2010,65,80,83,86,94,82,11.3,1 DL,Cedric Thornton,28,2011,60,79,90,88,79,88,4.3,4 DL,Casey Walker,26,2013,63,54,88,85,78,72,0.5,3 DL,Nick Hayden,30,2008,65,82,90,84,71,73,0.8,1 DL,Lawrence Okoye,24,2013,63,33,90,85,81,61,0.5,1 DL,Benson Mayowa,24,2013,61,63,88,70,64,49,2.8,3 DL,Jeremy Mincey,32,2007,65,83,91,86,84,78,1.5,2 LB,Rolando McClain,26,2010,100,86,89,92,80,85,4,1 LB,Anthony Hitchens,24,2014,82,74,94,84,73,76,0.7,4 LB,Mark Nzeocha,26,2015,68,45,76,81,56,42,0.6,4 LB,Brandon Hepburn,26,2013,69,66,91,82,62,72,0.5,1 LB,Damien Wilson,23,2015,78,59,88,81,65,70,0.7,4 LB,Kyle Wilber,27,2012,80,74,88,84,66,73,1.6,2 LB,Andrew Gachkar,27,2011,65,77,85,82,79,76,1.8,2 LB,Sean Lee,29,2010,83,87,73,92,93,95,7,6 END_PLAYERS New York Giants,NYG QB,BJ Daniels,26,2013,67,45,85,84,71,64,0.6,2 QB,Ryan Nassib,26,2013,82,52,95,88,85,37,0.7,4 QB,Eli Manning,35,2004,92,90,98,89,87,30,21,4 RB,Orleans Darkwa,24,2014,63,62,85,85,90,57,0.6,1 RB,Nikita Whitlock,25,2014,64,49,92,75,78,42,0.5,2 RB,Rashad Jennings,31,2009,63,81,94,90,84,59,2.5,4 RB,Shane Vereen,27,2011,85,79,87,53,87,84,4.1,3 RB,Will Johnson,27,2012,59,72,93,71,79,58,1.2,2 RB,Andre Williams,23,2014,83,70,82,88,86,67,0.7,4 RB,Bobby Rainey,28,2012,59,72,93,59,87,83,0.8,1 WR,Larry Donnell,27,2012,62,74,92,82,73,49,1.7,1 WR,Myles White,26,2013,62,57,91,76,90,85,0.6,1 WR,Geremy Davis,24,2015,74,43,83,84,89,64,0.6,4 WR,Odell Beckham JR,23,2014,92,82,94,97,92,94,2.6,4 WR,Victor Cruz,29,2010,59,84,85,87,88,91,8.6,5 WR,Dwayne Harris,28,2011,69,77,88,83,86,88,3.5,5 WR,Hakeem Nicks,28,2009,65,81,79,85,85,61,0.7,1 WR,Tavarres King,25,2013,77,58,87,73,89,88,0.6,2 OL,Byron Stingily,27,2011,69,69,92,82,77,79,0.8,1 OL,Dallas Reynolds,32,2009,65,71,90,88,80,69,0.7,1 OL,Justin Pugh,25,2013,91,74,90,83,78,83,2.1,4 OL,Weston Richburg,24,2014,87,72,92,85,75,82,1.2,4 OL,John Jerry,30,2010,84,77,79,90,79,77,1.7,2 OL,Ereck Flowers,22,2015,103,57,85,95,86,82,3.6,4 OL,Adam Gettis,27,2012,78,57,77,78,81,73,0.7,1 OL,Dillon Farrell,25,2014,62,58,92,84,80,73,0.5,1 OL,Ryan Seymour,26,2013,72,64,92,83,80,70,0.6,1 OL,Bobby Hart,21,2015,68,59,93,84,81,69,0.6,4 OL,Brandon Mosley,27,2012,65,56,88,93,82,71,0.6,4 OL,Shane McDermott,24,2015,64,64,90,82,70,76,0.5,2 OL,Marshall Newhouse,27,2010,74,78,91,88,81,76,1.5,2 K,Josh Brown,37,2003,62,84,90,89,92,64,2,2 K,Brad Wing,25,2013,63,67,84,89,84,73,0.6,1 S,Cooper Taylor,26,2013,77,50,99,75,88,73,0.6,2 S,Craig Dahl,30,2007,65,74,90,69,88,75,0.9,1 S,Landon Collins,22,2015,90,52,87,64,90,90,1.5,4 S,Nat Berhe,24,2014,77,44,92,71,90,80,0.6,4 S,Mykkele Thompson,23,2015,79,42,91,72,92,63,0.6,4 CB,Trevin Wade,26,2012,66,47,87,73,88,44,0.6,2 CB,Dominique Rodgers-Cromartie,30,2008,87,89,90,86,95,50,7,5 CB,Trumaine McBride,30,2007,65,75,89,79,89,52,1.4,2 CB,Leon McFadden,25,2013,86,60,90,79,91,33,0.7,2 CB,Jayron Hosley,25,2012,65,66,88,81,92,32,0.7,4 CB,Janoris Jenkins,27,2012,84,75,89,82,92,50,12.5,5 CB,Tramain Jacobs,24,2014,62,48,90,74,90,49,0.6,2 CB,Eli Apple,20,2016,95,65,85,84,94,70,3.8,4 CB,Bennett Jackson,24,2014,73,42,95,81,90,60,0.5,1 DL,Johnathan Hankins,24,2013,87,78,92,93,89,94,1,4 DL,Stansly Maponga,25,2013,76,67,83,78,63,55,0.6,2 DL,Olivier Vernon,25,2012,85,75,90,93,89,74,17,5 DL,Jay Bromley,24,2014,87,54,95,84,84,81,0.8,4 DL,Kerry Wynn,25,2014,63,55,94,86,76,77,0.5,3 DL,Owamagbe Odighizuwa,24,2015,89,49,74,79,82,75,0.8,4 DL,Jason Pierre-Paul,27,2010,89,85,93,85,58,81,10,1 DL,Damon Harrison,27,2012,59,83,90,92,85,97,9.3,5 DL,Cullen Jenkins,35,2003,65,86,91,87,82,75,2.7,3 DL,Montori Hughes,25,2013,76,65,94,84,81,80,0.6,2 DL,George Selvie,29,2010,65,76,86,64,71,64,1,1 LB,Mark Herzlich,28,2011,60,77,80,90,55,85,1.3,2 LB,Devon Kennard,24,2014,78,74,80,83,88,74,0.6,4 LB,Jasper Brinkley,30,2009,72,80,83,91,74,78,1.8,1 LB,JT Thomas,27,2011,70,74,81,77,57,76,3.3,3 LB,Kelvin Sheppard,28,2011,84,74,95,82,66,71,0.8,1 LB,Jonathan Casillas,29,2009,57,75,77,76,53,79,2.7,3 LB,Keenan Robinson,26,2012,79,76,85,87,64,74,2.6,1 END_PLAYERS Philadelphia Eagles,PHI QB,Sam Bradford,28,2010,98,76,71,87,75,29,17.5,2 QB,Chase Daniel,29,2009,57,70,90,82,71,50,7,3 QB,Carson Wentz,23,2016,105,75,85,93,89,83,6.7,4 RB,Trey Burton,24,2014,62,55,95,57,86,83,0.5,3 RB,Kenjon Barner,27,2013,72,49,90,46,87,92,0.6,2 RB,Darren Sproles,33,2005,68,87,87,40,87,88,3.5,3 RB,Ryan Mathews,29,2010,98,79,79,86,90,77,3.7,3 WR,Trey Burton,24,2014,62,55,95,75,86,83,0.5,3 WR,Brent Celek,31,2007,70,85,90,73,74,60,4.3,3 WR,Seyi Ajirotutu,29,2010,65,67,92,77,82,55,0.8,1 WR,Chris Givens,26,2012,80,69,86,72,92,85,0.8,1 WR,Josh Huff,24,2014,82,66,87,80,88,84,0.7,4 WR,Nelson Agholor,23,2015,93,51,90,87,92,85,2.3,4 WR,Rueben Randle,25,2012,85,78,94,87,89,66,1,1 WR,TJ Graham,26,2012,86,70,92,74,90,76,0.7,1 WR,Jordan Matthews,23,2014,87,75,95,88,90,65,1.2,4 OL,Matt Tobin,26,2013,61,70,92,79,81,71,0.8,2 OL,Barrett Jones,26,2013,82,67,80,79,78,85,0.6,2 OL,Dennis Kelly,26,2012,75,68,92,86,70,79,0.9,1 OL,Allen Barbre,32,2007,76,76,88,84,83,75,1.5,3 OL,Brandon Brooks,26,2012,80,79,77,95,97,78,8,5 OL,Jason Kelce,28,2011,69,86,90,81,94,78,6.3,6 OL,Stefen Wisniewski,27,2011,84,82,94,85,88,74,1.5,1 OL,Andrew Gardner,30,2009,68,73,92,87,86,70,1.5,3 OL,Lane Johnson,26,2013,101,69,93,86,92,87,11.3,5 OL,Jason Peters,34,2004,52,87,76,98,96,97,10.3,4 K,Donnie Jones,35,2004,62,80,87,85,91,75,1.8,3 K,Caleb Sturgis,26,2013,76,74,85,93,84,75,0.6,2 K,Cody Parkey,24,2014,62,69,92,94,91,71,0.5,3 S,Chris Maragos,29,2010,58,75,90,69,90,81,1.4,3 S,Rodney McLeod,25,2012,60,74,92,83,90,75,7,5 S,Malcolm Jenkins,28,2009,87,83,96,87,92,76,8.8,4 S,Ed Reynolds,24,2014,78,49,85,76,90,79,0.5,2 CB,Randall Evans,24,2015,74,53,90,76,90,51,0.5,2 CB,Nolan Carroll,29,2010,73,72,84,75,90,55,2.4,1 CB,JaCorey Shepherd,23,2015,73,49,84,76,88,33,0.6,4 CB,Jaylen Watkins,23,2014,83,48,93,84,93,62,0.6,2 CB,Ron Brooks,27,2012,80,58,87,70,90,60,1.8,3 CB,Leodis McKelvin,30,2008,86,81,89,83,94,45,3.1,2 CB,Eric Rowe,23,2015,88,54,84,81,91,67,1.2,4 DL,Mike Martin,25,2012,80,70,87,84,83,69,0.6,1 DL,Fletcher Cox,25,2012,90,82,93,85,88,87,17.1,6 DL,Taylor Hart,25,2014,77,55,92,76,77,83,0.6,4 DL,Bennie Logan,26,2013,86,77,92,88,77,87,0.8,4 DL,Beau Allen,24,2014,72,61,93,87,74,83,0.6,4 DL,Vinny Curry,27,2012,85,73,90,77,80,69,9.5,5 DL,Steven Means,26,2013,78,50,93,69,82,83,0.6,3 LB,Brandon Graham,28,2010,88,80,78,86,93,81,6.5,4 LB,Nigel Bradham,26,2012,80,77,96,87,77,76,3.5,2 LB,Mychal Kendricks,25,2012,85,86,87,90,85,85,7.3,4 LB,Marcus Smith,24,2014,87,61,89,84,86,62,1.9,4 LB,Connor Barwin,29,2009,82,86,94,79,95,87,6,6 LB,Jordan Hicks,24,2015,83,60,74,81,64,58,0.7,4 LB,Bryan Braman,29,2011,59,75,88,78,79,70,1,2 LB,Najee Goode,27,2012,75,66,88,74,70,61,0.8,1 END_PLAYERS Washington Redskins,WAS QB,Kirk Cousins,27,2012,80,66,88,84,71,30,20,1 QB,Colt McCoy,29,2010,78,69,88,81,74,60,3,3 RB,Chris Thompson,25,2013,77,59,70,36,90,81,0.7,1 RB,Silas Redd,24,2014,62,55,82,79,82,73,0.5,3 RB,Darrel Young,29,2009,55,78,90,84,82,45,1.3,3 RB,Matt Jones,23,2015,83,56,76,90,85,60,0.7,4 WR,Jamison Crowder,23,2015,84,63,91,82,90,85,0.7,4 WR,Josh Doctson,23,2016,95,75,85,85,92,85,2.5,4 WR,Ryan Grant,25,2014,77,65,87,84,87,71,0.6,4 WR,Pierre Garcon,29,2008,66,85,90,86,87,85,8.5,5 WR,DeSean Jackson,29,2008,81,88,86,92,112,97,6,4 WR,Jordan Reed,25,2013,81,75,84,96,80,78,9.4,5 WR,Niles Paul,26,2011,74,69,93,77,88,60,2,3 OL,Austin Reiter,24,2015,74,56,91,77,77,72,0.5,2 OL,Trent Williams,27,2010,98,84,93,92,85,92,13.6,5 OL,Arie Kouandjio,24,2015,83,52,73,84,81,72,0.7,4 OL,Morgan Moses,25,2014,87,60,85,89,79,84,0.8,4 OL,Shawn Lauvao,28,2010,78,82,88,86,80,83,4.3,4 OL,Al Bond,24,2015,64,60,92,80,84,67,0.5,1 OL,Spencer Long,25,2014,82,54,78,88,83,78,0.7,4 OL,Kory Lichtensteiger,31,2008,77,88,81,82,89,86,3.5,5 OL,Brandon Scherff,24,2015,103,64,85,83,89,80,5.3,4 OL,Josh LeRibeus,26,2012,85,62,87,88,83,76,0.9,1 OL,Ty Nsekhe,30,2012,63,66,85,85,79,71,0.6,2 K,Dustin Hopkins,25,2013,72,61,87,93,81,74,0.6,3 K,Tress Way,26,2013,62,76,92,97,91,67,1.5,5 S,Kyshoen Jarrett,23,2015,73,38,82,62,90,83,0.6,4 S,Duke Ihenacho,27,2012,61,72,89,68,88,85,0.7,1 CB,DeAngelo Hall,32,2004,92,74,80,86,87,50,4.3,4 CB,Will Blackmon,31,2006,75,77,79,78,86,30,1,2 CB,Jeremy Harris,25,2013,72,63,93,75,88,50,0.5,3 CB,Cary Williams,31,2008,65,82,90,87,92,45,0.9,1 CB,Josh Norman,28,2012,75,82,97,104,91,63,15,5 CB,Greg Toler,31,2009,72,79,87,86,88,45,0.8,1 CB,Bashaud Breeland,24,2014,82,64,89,73,89,55,0.7,4 DL,Stephen Paea,28,2011,84,80,85,98,89,83,5.3,4 DL,Kendall Reyes,26,2012,85,74,90,89,77,79,2.5,1 DL,Chris Baker,28,2009,60,74,88,87,83,77,3,3 DL,Kedric Golston,33,2006,64,74,83,85,77,77,1,1 DL,Ricky Jean-Francois,29,2009,62,77,82,83,79,85,3,3 DL,Jerrell Powe,29,2011,71,72,88,92,81,85,0.8,1 DL,Lynden Trail,25,2015,64,39,94,71,68,44,0.5,2 LB,Will Compton,26,2013,62,69,91,80,72,69,0.6,1 LB,Ryan Kerrigan,27,2011,89,87,92,83,97,88,11.5,5 LB,Preston Smith,23,2015,88,55,93,79,85,67,1.4,4 LB,Martrell Spaight,22,2015,78,51,88,85,66,52,0.6,4 LB,Adam Hayward,31,2007,65,75,90,79,51,74,1,3 LB,Junior Galette,28,2010,58,90,92,79,87,87,1.6,1 LB,Trent Murphy,25,2014,87,72,90,88,84,74,1.1,4 LB,Terence Garvin,25,2013,61,62,92,78,64,65,0.8,1 LB,Mason Foster,27,2011,79,80,87,84,72,81,1.3,2 END_PLAYERS Atlanta Falcons,ATL QB,Matt Simms,27,2012,61,45,85,86,72,25,0.6,2 QB,Sean Renfree,26,2013,66,57,85,84,83,20,0.6,4 QB,Matt Ryan,31,2008,96,88,95,89,88,20,20.8,5 QB,Matt Schaub,34,2004,72,82,80,81,74,20,2.8,1 RB,Tevin Coleman,23,2015,88,53,82,85,93,70,0.8,4 RB,Devonta Freeman,24,2014,82,68,94,66,86,77,0.7,4 RB,Patrick DiMarco,27,2011,60,77,92,73,73,64,0.7,2 RB,Gus Johnson,22,2015,64,50,85,75,85,70,0.5,2 WR,Julio Jones,27,2011,99,82,83,104,102,87,14.3,5 WR,Aldrick Robinson,27,2011,71,71,90,74,91,88,0.7,1 WR,Justin Hardy,24,2015,83,57,92,87,87,81,0.7,4 WR,CJ Goodwin,26,2014,64,41,91,68,91,64,0.5,2 WR,Devin Hester,33,2006,79,81,89,74,91,94,3,3 WR,Eric Weems,30,2007,55,78,85,76,84,93,1.1,2 WR,Jacob Tamme,31,2008,71,80,88,81,82,47,1.6,2 WR,Mohamed Sanu,26,2012,80,75,92,75,86,73,6.5,5 OL,Chris Chester,33,2006,79,81,85,82,76,86,2.4,1 OL,Ryan Schraeder,28,2013,61,73,92,83,79,91,2.6,1 OL,Alex Mack,30,2009,87,85,98,91,92,86,9,5 OL,Jake Matthews,24,2014,102,75,98,85,80,82,4.1,4 OL,Ben Garland,28,2010,62,61,92,77,79,76,0.6,2 OL,Andy Levitre,30,2009,82,88,95,85,85,76,7.8,6 OL,Bryce Harris,27,2012,60,66,93,82,79,74,0.8,1 OL,James Stone,24,2014,62,72,91,79,74,73,0.5,3 OL,Tom Compton,27,2012,71,69,94,90,85,70,0.8,1 K,Matt Bosher,28,2011,69,83,92,92,97,76,2.5,5 K,Matt Bryant,41,2002,50,88,80,90,94,56,2.8,3 S,Akeem King,23,2015,68,45,92,70,89,65,0.5,2 S,Kemal Ishmael,25,2013,66,68,90,75,91,79,0.6,4 S,Keanu Neal,20,2016,95,65,85,79,90,87,2.7,4 S,Charles Godfrey,30,2008,81,73,94,72,92,69,1,1 CB,Ricardo Allen,24,2014,78,51,93,77,89,55,0.5,1 CB,DeMarcus Van dyke,27,2011,81,59,87,68,93,39,0.7,1 CB,Jalen Collins,23,2015,88,44,85,78,88,40,1.4,4 CB,Desmond Trufant,25,2013,91,79,96,94,93,42,2,4 CB,Robert Alford,27,2013,86,69,80,75,92,47,0.9,4 DL,Vic Beasley,23,2015,103,55,90,87,76,63,3.6,4 DL,Jonathan Babineaux,34,2005,78,87,88,87,65,75,3,3 DL,Adrian Clayborn,28,2011,89,71,87,87,81,81,4.3,2 DL,Ra'Shede Hageman,25,2014,87,53,94,92,83,83,1.3,4 DL,Malliciah Goodman,26,2013,76,69,95,84,76,74,0.6,4 DL,Kroy Biermann,30,2008,65,75,88,79,57,75,1.9,1 DL,Grady Jarrett,23,2015,78,51,84,89,79,64,0.6,4 DL,Tyson Jackson,30,2009,97,85,95,87,72,84,5,5 DL,Derrick Shelby,27,2012,60,68,90,76,83,73,4.5,4 LB,Courtney Upshaw,26,2012,85,77,98,88,86,76,1.3,1 LB,Tyler Starr,25,2014,67,39,94,72,63,69,0.6,2 LB,LaRoy Reynolds,25,2013,61,67,88,78,70,66,0.7,1 LB,Sean Weatherspoon,28,2010,89,81,85,76,87,77,1.5,1 LB,Brooks Reed,29,2011,84,80,93,86,85,80,4.4,5 LB,Paul Worrilow,26,2013,61,81,91,88,69,80,2.6,1 LB,Philip Wheeler,31,2008,76,85,92,82,82,80,1,1 LB,O'Brien Schofield,29,2010,65,76,78,79,65,70,1.7,1 END_PLAYERS Carolina Panthers,CAR QB,Derek Anderson,33,2005,63,73,90,92,72,20,2.4,2 QB,Joe Webb,29,2010,68,66,88,89,66,77,0.9,2 QB,Cam Newton,27,2011,99,83,96,107,97,94,20.8,5 RB,Mike Tolbert,30,2008,56,86,90,85,76,55,1.7,2 RB,Cameron Artis-Payne,25,2015,78,44,90,78,88,70,0.6,4 RB,Fozzy Whittaker,27,2012,61,66,80,56,87,72,0.7,2 RB,Jonathan Stewart,29,2008,86,79,75,70,86,96,7.3,5 WR,Corey Brown,24,2014,62,71,93,79,88,87,0.5,3 WR,Laron Byrd,26,2012,62,52,88,72,89,62,0.5,1 WR,Ted Ginn Jr,31,2007,95,80,90,76,88,90,2.1,2 WR,Kelvin Benjamin,25,2014,87,78,90,91,85,65,1.9,4 WR,Devin Funchess,22,2015,88,58,88,80,89,76,1.4,4 WR,Stephen Hill,25,2012,86,61,85,64,92,62,0.6,1 WR,Tobais Palmer,26,2013,64,60,88,69,91,78,0.5,1 WR,Brenton Bersin,26,2012,62,64,90,78,84,62,0.6,1 WR,Cobi Hamilton,25,2013,74,57,93,80,86,85,0.5,1 WR,Greg Olsen,31,2007,80,89,93,89,83,67,7.5,3 OL,Michael Oher,30,2009,87,81,97,95,75,78,3.5,2 OL,Andrew Norwell,24,2014,62,72,92,81,88,84,0.5,3 OL,Tyler Larsen,24,2014,64,58,96,93,75,77,0.5,2 OL,Tyronne Green,30,2009,65,69,88,84,80,73,0.7,1 OL,Chris Scott,28,2010,75,72,74,92,75,77,0.8,1 OL,Reese Dismukes,23,2015,64,63,85,80,78,72,0.5,1 OL,Daryl Williams,23,2015,83,56,89,87,85,73,0.7,4 OL,Trai Turner,23,2014,82,73,92,88,83,88,0.7,4 OL,Mike Remmers,27,2012,61,72,89,79,78,88,2.6,1 OL,David Yankey,24,2014,78,62,90,84,85,73,0.5,1 OL,Donald Hawkins,24,2014,63,55,90,81,75,80,0.5,3 OL,Gino Gradkowski,27,2012,80,74,93,84,78,71,1.1,3 OL,Amini Silatolu,27,2012,65,71,85,87,83,72,1.2,4 OL,Ryan Kalil,31,2007,80,90,92,88,95,75,8.4,2 K,Graham Gano,29,2009,58,81,90,98,89,77,3.1,4 K,Mike Scifres,35,2003,67,87,76,87,91,62,0.5,1 S,Tre Boston,23,2014,77,71,92,83,88,86,0.7,4 S,Dean Marlowe,23,2015,63,40,94,70,88,75,0.5,3 S,Trenton Robinson,26,2012,70,62,84,75,92,65,0.8,1 S,Colin Jones,28,2011,69,69,88,69,95,70,0.9,2 S,Kurt Coleman,27,2010,63,78,88,81,90,67,1.4,2 CB,Bene Benwikere,24,2014,65,77,93,91,86,45,0.6,4 CB,Teddy Williams,27,2010,60,54,80,67,93,15,0.9,2 CB,Charles Tillman,35,2003,65,89,76,84,85,77,2,1 CB,Robert McClain,27,2010,65,70,90,74,86,54,0.8,2 DL,Paul Soliai,32,2007,75,86,87,93,72,83,3.5,2 DL,Vernon Butler,22,2016,90,65,85,90,92,91,2.1,4 DL,Robert Thomas,25,2014,64,53,84,94,74,76,0.5,2 DL,Wes Horton,26,2013,61,72,88,76,81,73,0.7,1 DL,Matthew Masifilo,26,2012,63,67,92,93,45,45,0.6,1 DL,Mario Addison,28,2011,59,73,90,73,69,70,1.3,2 DL,Kawann Short,27,2013,86,73,95,86,87,80,1.2,4 DL,Larry Webster,26,2014,78,51,88,67,65,67,0.5,1 DL,Star Lotulelei,26,2013,91,77,88,96,86,92,2.4,4 DL,Kyle Love,29,2010,60,74,84,84,75,77,0.8,1 DL,Frank Alexander,26,2012,65,63,78,74,63,66,0.6,4 DL,Charles Johnson,29,2007,71,88,92,93,93,67,3,1 DL,Kony Ealy,24,2014,87,62,92,79,84,68,0.9,4 LB,AJ Klein,24,2013,76,72,91,82,72,75,0.6,4 LB,Thomas Davis,33,2005,83,89,79,102,92,100,9,2 LB,Luke Kuechly,25,2012,100,96,97,108,88,108,12.4,5 LB,Shaq Thompson,22,2015,88,56,93,87,64,72,2.2,4 LB,Ben Jacobs,28,2011,61,70,95,78,74,69,0.7,1 LB,David Mayo,22,2015,78,52,78,85,61,64,0.6,4 END_PLAYERS New Orleans Saints,NO QB,Drew Brees,37,2001,74,97,96,97,101,20,20,5 QB,Garrett Grayson,25,2015,83,54,83,89,75,38,0.9,4 QB,Luke McCown,34,2004,72,76,82,83,73,40,1.5,2 RB,CJ Spiller,28,2010,98,81,82,55,93,88,4,4 RB,Marcus Murphy,24,2015,68,48,77,37,86,86,0.6,4 RB,Mark Ingram,26,2011,84,79,83,87,85,69,4,4 RB,Tim Hightower,30,2008,74,79,85,85,82,55,0.8,1 RB,Travaris Cadet,27,2012,60,67,83,65,82,81,0.8,1 WR,Coby Fleener,27,2012,85,73,85,86,87,65,7.2,5 WR,Vincent Brown,27,2011,80,76,87,78,84,72,0.5,1 WR,Brandin Cooks,22,2014,92,75,92,87,95,92,2.1,4 WR,Michael Hoomanawanui,27,2010,73,77,79,75,77,35,1.7,3 WR,Josh Hill,26,2013,61,69,89,80,82,55,2.4,3 WR,Brandon Coleman,23,2014,63,46,88,82,86,63,0.5,3 OL,Tim Lelito,26,2013,61,75,96,89,85,80,1.7,1 OL,Mike McGlynn,31,2008,65,81,93,87,71,77,0.9,1 OL,Max Unger,30,2009,82,91,89,85,95,84,6.5,4 OL,Terron Armstead,24,2013,81,73,92,83,88,86,16.3,4 OL,Andrus Peat,22,2015,93,65,90,86,82,88,2.8,4 OL,Zach Strief,32,2006,64,88,91,90,82,91,4,5 OL,Senio Kelemete,26,2012,76,69,84,86,78,70,1.4,2 K,Kai Forbath,28,2011,60,73,87,86,90,66,0.8,1 K,Thomas Morstead,30,2009,72,86,95,95,91,76,3.6,6 K,Connor Barth,30,2008,57,74,84,88,93,65,0.5,1 S,Jamarca Sanford,30,2009,62,73,92,71,91,87,1,1 S,Roman Harper,33,2006,80,78,94,63,85,87,1.1,1 S,Kenny Vaccaro,25,2013,91,67,92,90,89,90,2.4,4 S,Jairus Byrd,29,2009,82,84,84,95,89,58,9,6 CB,Brandon Dixon,26,2014,73,50,90,76,90,49,0.5,1 CB,Kyle Wilson,29,2010,83,73,96,74,90,49,0.8,1 CB,Brian Dixon,26,2014,62,62,93,77,89,75,0.5,3 CB,PJ Williams,23,2015,83,51,90,82,95,74,0.8,4 CB,Keenan Lewis,30,2009,77,77,93,74,89,71,5.1,5 CB,Damian Swann,23,2015,78,55,87,78,89,55,0.6,4 CB,Tony Carter,30,2009,59,73,88,80,89,41,0.9,1 DL,Sheldon Rankins,22,2016,95,65,85,92,83,89,3.2,4 DL,Tyeler Davison,23,2015,78,49,88,91,77,85,0.6,4 DL,Nick Fairley,28,2011,89,72,87,90,92,86,3,1 DL,John Jenkins,26,2013,81,71,88,92,76,87,0.7,4 DL,Obum Gwacham,25,2015,73,38,87,74,60,59,0.6,4 DL,Kevin Williams,35,2003,65,93,88,85,78,74,1.5,1 DL,Cameron Jordan,26,2011,89,83,95,90,83,85,11,5 DL,Lawrence Virgil,25,2014,65,49,94,94,81,71,0.5,2 LB,Michael Mauti,26,2013,71,63,72,85,53,73,0.6,4 LB,Anthony Spencer,32,2007,65,80,83,72,65,80,1,1 LB,Stephone Anthony,23,2015,88,67,90,85,76,64,1.9,4 LB,James Laurinaitis,29,2009,82,87,98,78,64,97,2.8,3 LB,Nathan Stupar,28,2012,66,73,92,79,61,77,1.7,3 LB,Tony Steward,23,2015,73,49,74,78,53,70,0.5,1 LB,Craig Robertson,28,2011,60,80,87,86,75,80,1.7,3 LB,Davis Tull,24,2015,78,42,68,78,66,61,0.6,4 LB,Hau'oli Kikaha,23,2015,88,60,78,72,87,55,1.3,4 LB,Kasim Edebali,26,2014,62,64,91,71,80,65,0.5,3 LB,Dannell Ellerbe,30,2009,57,82,85,74,67,82,2.5,2 END_PLAYERS Tampa Bay Buccaneers,TB QB,Jameis Winston,22,2015,103,69,97,95,75,65,6.3,4 QB,Mike Glennon,26,2013,86,69,96,93,73,20,0.8,4 RB,Mike James,25,2013,71,65,85,76,87,64,0.6,2 RB,Doug Martin,27,2012,85,75,88,67,88,74,7.2,5 RB,Storm Johnson,23,2014,73,62,93,83,85,53,0.6,2 RB,Charles Sims,25,2014,87,65,84,64,89,77,0.8,4 WR,Freddie Martino,24,2014,64,50,90,77,89,79,0.5,1 WR,Mike Evans,22,2014,102,74,96,102,87,74,3.7,4 WR,Louis Murphy Jr,29,2009,65,78,78,77,91,87,1.6,3 WR,Kenny Bell,24,2015,78,58,86,76,93,73,0.6,4 WR,Austin Seferian-Jenkins,23,2014,87,48,83,80,86,58,1.3,4 WR,Luke Stocker,27,2011,79,72,83,66,80,44,1.6,3 WR,Vincent Jackson,33,2005,78,90,88,91,84,48,11.1,5 WR,Russell Shepard,25,2013,61,49,93,79,89,72,1.7,1 WR,Bernard Reedy,24,2014,64,61,90,80,88,81,0.5,2 WR,Evan Spencer,23,2015,74,52,91,74,91,63,0.5,2 OL,Demar Dotson,30,2009,57,82,92,87,79,91,1.5,3 OL,Kevin Pamphile,25,2014,77,65,93,82,85,74,0.6,4 OL,Evan Smith,29,2009,58,82,88,86,87,76,3.6,4 OL,Donovan Smith,22,2015,88,55,87,87,84,79,1.5,4 OL,Joe Hawley,27,2010,78,74,90,83,78,81,1.7,2 OL,Josh Allen,24,2014,64,50,90,89,78,74,0.6,2 OL,Andre Davis,22,2015,64,45,93,82,71,82,0.5,2 OL,Ali Marpet,23,2015,88,49,90,86,82,76,0.9,4 OL,Gosder Cherilus,31,2008,86,87,87,88,82,73,3.5,2 OL,JR Sweezy,27,2012,65,77,82,84,87,72,6.5,5 K,Bryan Anger,27,2012,85,78,97,95,92,72,1.8,1 K,Roberto Aguayo,22,2016,90,65,85,95,95,75,1,4 S,Major Wright,27,2010,78,71,95,71,90,87,1.5,2 S,Bradley McDougald,25,2013,65,72,89,80,84,59,2.6,1 S,Gerod Holliman,22,2015,65,42,86,82,90,62,0.5,2 S,Keith Tandy,27,2012,75,61,93,79,93,70,0.9,2 CB,Johnthan Banks,26,2013,86,75,97,84,88,63,1.2,4 CB,Mike Jenkins,31,2008,65,75,92,74,92,44,0.8,1 CB,Brent Grimes,32,2006,55,91,90,85,91,47,6.8,2 CB,Alterraun Verner,27,2010,78,89,91,93,89,42,6.4,4 CB,Vernon Hargreaves III,21,2016,95,65,85,87,95,70,3.5,4 DL,Cliff Matthews,26,2011,65,60,84,76,74,67,0.8,2 DL,George Johnson,28,2010,60,74,82,67,74,64,2.3,3 DL,Akeem Spence,24,2013,81,70,95,90,67,74,0.7,4 DL,William Gholston,24,2013,76,66,87,77,82,76,0.6,4 DL,Robert Ayers,30,2009,87,74,87,79,89,70,6.5,3 DL,Tony McDaniel,31,2006,65,82,88,88,81,78,1.5,1 DL,AJ Francis,26,2013,62,49,90,79,73,87,0.6,1 DL,Jacquies Smith,26,2012,62,69,84,69,69,64,0.6,1 DL,Henry Melton,29,2010,65,83,74,83,86,69,3.8,1 DL,Larry English,30,2009,65,71,79,72,62,70,0.9,1 DL,Clinton McDonald,29,2009,63,78,86,83,84,75,3,4 DL,Gerald McCoy,28,2010,98,80,78,102,98,87,15.9,6 DL,TJ Fatinikun,24,2014,65,63,82,74,67,65,0.5,2 LB,Kwon Alexander,21,2015,83,42,84,77,68,40,0.7,4 LB,Danny Lansanah,30,2008,65,78,90,86,72,79,0.7,1 LB,Daryl Smith,34,2004,77,95,88,92,78,95,2.5,1 LB,Jeremiah George,24,2014,77,56,92,84,68,70,0.6,1 LB,Adarius Glanton,25,2014,63,54,90,79,64,56,0.6,2 LB,Kourtnei Brown,28,2012,63,55,83,79,77,65,0.5,2 LB,Lavonte David,26,2012,85,88,97,107,95,105,10.1,5 END_PLAYERS Arizona Cardinals,ARZ QB,Matt Barkley,25,2013,81,54,87,84,75,37,0.7,4 QB,Drew Stanton,32,2007,80,69,86,89,72,30,3.3,2 QB,Carson Palmer,36,2003,91,86,74,88,83,20,16.5,3 RB,Stepfan Taylor,25,2013,76,67,97,86,79,65,0.6,4 RB,Chris Johnson,30,2008,86,80,80,70,95,85,1.5,1 RB,Kerwynn Williams,25,2013,67,58,91,54,88,88,0.6,2 RB,Andre Ellington,27,2013,71,75,76,59,90,72,0.6,4 WR,JJ Nelson,24,2015,78,51,78,77,96,77,0.6,4 WR,John Brown,26,2014,82,75,87,87,94,90,0.7,4 WR,Larry Fitzgerald,32,2004,92,95,94,93,82,54,11,2 WR,Darren Fells,30,2013,62,61,90,76,73,50,0.6,1 WR,Brittan Golden,27,2012,62,55,92,77,88,82,0.5,3 WR,Jaron Brown,26,2013,61,67,90,80,91,72,1.7,1 WR,Michael Floyd,26,2012,90,79,89,90,88,65,2.5,4 OL,Jared Veldheer,29,2010,83,85,95,97,87,94,7,5 OL,Mike Iupati,29,2010,88,83,90,97,97,74,8,5 OL,AQ Shipley,30,2009,65,77,87,87,86,78,0.8,2 OL,Taylor Boggs,29,2011,60,70,85,86,78,71,0.7,1 OL,Earl Watford,25,2013,81,63,95,85,81,73,0.6,4 OL,DJ Humphries,22,2015,93,53,82,88,79,87,2.2,4 OL,Antoine McClain,26,2012,63,62,85,81,77,72,0.5,1 K,Drew Butler,27,2012,61,70,95,84,94,70,1.2,2 K,Chandler Catanzaro,25,2014,62,73,93,95,91,70,0.5,3 S,Deone Bucannon,23,2014,87,60,94,67,61,74,1.9,4 S,Tyvon Branch,29,2008,76,81,84,85,94,74,4,2 S,Tyrann Mathieu,24,2013,86,70,84,95,92,84,0.8,4 S,DJ Swearinger,24,2013,86,59,91,75,89,93,1.7,1 S,Tony Jefferson,24,2013,61,73,82,70,87,85,1.7,1 S,Chris Clemons,30,2009,72,74,94,75,94,83,0.9,1 CB,Carrington Byndom,23,2014,63,48,93,78,93,35,0.5,1 CB,Justin Bethel,26,2012,70,67,93,78,88,65,5,3 CB,Asa Jackson,26,2012,75,62,85,72,91,40,0.8,1 CB,Shaun Prater,26,2012,75,59,88,81,90,41,0.7,1 CB,Patrick Peterson,25,2011,99,82,97,105,92,72,14,5 DL,Frostee Rucker,32,2006,74,88,88,81,80,79,2.2,1 DL,Olsen Pierre,24,2015,64,53,90,75,75,81,0.5,1 DL,Chandler Jones,26,2012,90,77,84,92,105,85,2,4 DL,Calais Campbell,29,2008,81,88,96,87,75,85,11,5 DL,Kareem Martin,24,2014,82,60,91,81,78,55,0.7,4 DL,Robert Nkemdiche,21,2016,90,65,85,93,79,85,2.2,4 DL,Josh Mauro,25,2014,62,61,95,85,71,78,0.6,1 DL,Corey Peters,28,2010,78,81,88,78,80,74,3.1,3 DL,Rodney Gunter,24,2015,83,46,88,75,69,81,0.7,4 DL,Ed Stinson,26,2014,77,56,79,88,78,83,0.6,4 LB,Kevin Minter,25,2013,86,73,85,88,64,80,1.1,4 LB,LaMarr Woodley,31,2007,65,82,87,76,84,80,1,1 LB,Shaquille Riddick,23,2015,78,48,88,69,65,52,0.6,4 LB,Jason Babin,36,2004,65,86,88,82,87,72,1,1 LB,Daryl Washington,29,2010,85,71,91,91,73,80,8,4 LB,Alex Okafor,25,2013,81,73,95,68,85,72,0.7,4 LB,Markus Golden,25,2015,88,47,90,73,82,69,1,4 LB,Kenny Demens,26,2013,65,63,92,79,70,68,0.5,2 END_PLAYERS Los Angeles Rams,LA QB,Sean Mannion,24,2015,83,56,89,88,76,37,0.8,4 QB,Nick Foles,27,2012,80,73,85,90,79,20,12.3,2 QB,Case Keenum,28,2012,60,65,79,83,74,20,3.6,1 QB,Jared Goff,21,2016,105,75,85,93,89,80,7,4 QB,Dylan Thompson,24,2015,64,49,90,86,77,76,0.5,1 RB,Todd Gurley,21,2015,93,54,73,101,101,90,3.5,4 RB,Benny Cunningham,25,2013,61,72,84,84,87,52,1.7,1 RB,Terrence Magee,23,2015,64,39,88,74,87,83,0.5,1 RB,Tre Mason,22,2014,82,70,88,75,88,82,0.7,4 RB,Chase Reynolds,28,2011,61,65,85,66,84,81,0.9,1 WR,Tavon Austin,25,2013,101,76,93,77,95,94,3.2,4 WR,Deon Long,25,2015,64,46,82,81,89,64,0.5,2 WR,Cory Harkey,26,2012,60,78,95,78,68,45,1.9,3 WR,Lance Kendricks,28,2011,84,74,94,79,81,63,4.6,4 WR,Kenny Britt,27,2009,82,81,82,87,85,72,4.6,2 WR,Stedman Bailey,25,2013,81,71,94,84,87,80,0.7,4 WR,Brian Quick,27,2012,85,74,87,84,87,67,1.8,1 OL,Garrett Reynolds,28,2009,72,76,97,86,82,74,1.1,2 OL,Rodger Saffold,28,2010,83,83,84,84,74,86,6.3,5 OL,Cody Wichmann,24,2015,73,50,92,79,74,76,0.6,4 OL,Greg Robinson,23,2014,102,74,95,94,88,73,5.3,4 OL,Tim Barnes,28,2011,60,73,90,80,76,82,2.8,2 OL,Rob Havenstein,24,2015,88,58,90,79,88,71,1,4 OL,Demetrius Rhaney,23,2014,67,50,92,83,75,79,0.6,4 OL,Jamon Brown,23,2015,88,63,91,87,84,73,0.8,4 OL,Eric Kush,26,2013,76,70,87,79,79,76,1.3,1 OL,David Arkin,28,2011,82,46,89,91,79,77,0.7,2 OL,Andrew Donnal,24,2015,83,64,84,77,78,72,0.7,4 OL,Brian Folkerts,26,2012,61,61,95,91,79,75,0.7,1 K,Greg Zuerlein,28,2012,75,74,95,95,88,70,1.3,1 K,Johnny Hekker,26,2012,60,79,94,97,97,75,3,6 S,LaMarcus Joyner,25,2014,87,62,93,75,93,80,1.3,4 S,TJ McDonald,25,2013,86,72,84,74,91,91,0.7,4 S,Maurice Alexander,25,2014,65,38,89,71,90,87,0.7,4 S,Christian Bryant,24,2014,68,36,79,74,86,78,0.5,2 S,Mark Barron,26,2012,100,73,81,69,67,69,9,5 S,Cody Davis,27,2013,61,55,90,72,92,63,1.5,2 CB,EJ Gaines,24,2014,72,74,90,85,89,59,0.6,4 CB,Marcus Roberson,23,2014,62,47,82,82,90,60,0.5,3 CB,Coty Sensabaugh,27,2012,80,67,95,78,91,42,5,3 CB,Trumaine Johnson,26,2012,85,72,87,77,86,74,14,1 DL,Aaron Donald,25,2014,92,76,95,103,92,87,2.5,4 DL,Ethan Westbrooks,25,2014,62,50,90,75,68,67,0.5,3 DL,Dominique Easley,24,2014,88,62,74,82,84,83,0.6,1 DL,Robert Quinn,26,2011,89,82,92,97,97,79,14.3,4 DL,William Hayes,31,2008,76,80,93,85,83,86,5.8,3 DL,Cam Thomas,29,2010,74,74,87,94,77,85,0.5,1 DL,Eugene Sims,30,2010,68,72,88,74,67,64,3.3,3 DL,Michael Brockers,25,2012,90,74,95,94,82,92,2.4,4 LB,Quinton Coples,25,2012,90,77,93,83,87,72,3.3,2 LB,Alec Ogletree,24,2013,86,74,87,90,66,75,1.8,4 LB,Bryce Hager,24,2015,73,62,83,83,47,75,0.6,4 LB,Akeem Ayers,26,2011,84,74,95,81,84,75,3,2 END_PLAYERS Seattle Seahawks,SEA QB,Russell Wilson,27,2012,80,84,94,103,95,97,21.9,4 QB,Tarvaris Jackson,33,2006,80,67,81,93,70,62,1.5,1 RB,Derrick Coleman,25,2012,55,72,87,82,87,61,0.5,3 RB,Christine Michael,25,2013,86,65,80,89,90,65,0.7,1 RB,Fred Jackson,35,2003,65,92,85,87,81,65,0.9,1 RB,Thomas Rawls,22,2015,63,47,86,82,90,60,0.5,3 RB,Bryce Brown,25,2010,65,65,86,84,88,67,0.7,1 WR,Jermaine Kearse,26,2012,60,79,96,86,89,75,4.5,3 WR,George Farmer,22,2015,64,48,75,77,92,55,0.5,1 WR,Antwan Goodley,24,2015,63,51,86,82,91,82,0.5,1 WR,Doug Baldwin,27,2011,59,85,92,88,87,86,4.3,3 WR,Tyler Lockett,23,2015,88,63,81,82,92,87,0.8,4 WR,Paul Richardson,24,2014,87,66,77,82,94,76,1.2,4 WR,Jimmy Graham,29,2010,78,87,92,102,85,60,10,4 OL,Patrick Lewis,25,2013,61,62,95,84,71,76,1.7,1 OL,Kristjan Sokoli,24,2015,73,37,90,89,75,65,0.6,4 OL,Mark Glowinski,24,2015,78,55,92,91,80,76,0.7,4 OL,Justin Britt,25,2014,87,72,85,86,84,72,0.9,4 OL,Garry Gilliam,25,2014,62,60,84,77,80,75,0.5,3 OL,Bradley Sowell,27,2012,60,77,91,79,78,76,1,1 OL,J'Marcus Webb,27,2010,68,73,93,90,77,78,2.9,2 OL,Lemuel Jeanpierre,29,2011,65,74,92,83,79,75,0.7,1 OL,Germain Ifedi,22,2016,90,65,85,85,90,83,2.1,4 OL,Terry Poole,24,2015,78,49,93,83,72,82,0.5,1 K,Steven Hauschka,30,2008,56,83,90,89,93,65,2.9,3 K,Jon Ryan,34,2006,54,87,88,89,94,69,2.5,4 S,Kelcie McCray,27,2012,61,65,90,72,87,52,0.7,2 S,Deshawn Shead,27,2012,60,68,90,73,88,73,0.8,1 S,Kam Chancellor,28,2010,73,85,94,82,86,107,7,4 S,Earl Thomas III,27,2010,88,86,93,106,92,72,10,4 CB,Brandon Browner,31,2005,58,87,88,92,80,73,0.8,1 CB,Jeremy Lane,25,2012,75,75,90,85,88,72,5.8,4 CB,Eric Pinkins,24,2014,72,52,92,67,54,66,0.5,1 CB,Stanley Jean-Baptiste,26,2014,87,46,93,83,91,61,0.5,1 CB,Marcus Burley,25,2013,61,67,93,85,94,55,0.6,1 CB,Tye Smith,23,2015,78,43,94,78,89,60,0.6,4 CB,Richard Sherman,28,2011,74,97,96,109,89,65,14,4 CB,Steven Terrell,25,2013,61,50,90,77,91,70,0.6,1 CB,Tharold Simon,25,2013,76,68,85,81,89,80,0.6,4 DL,Sealver Siliga,27,2011,59,78,90,88,80,90,1.1,1 DL,Michael Bennett,30,2009,84,87,87,101,94,87,7.1,2 DL,Jordan Hill,25,2013,81,68,93,84,76,74,0.7,4 DL,Cassius Marsh,23,2014,82,53,92,66,80,69,0.7,4 DL,Frank Clark,23,2015,88,39,86,73,84,77,0.9,4 DL,Ryan Robinson,25,2013,61,57,87,67,62,65,0.6,2 DL,Cliff Avril,30,2008,76,87,93,73,76,64,7.1,4 DL,Demarcus Dobbs,28,2011,65,73,91,84,78,74,0.8,1 DL,Ahtyba Rubin,29,2008,66,85,90,93,71,79,4,3 DL,Justin Hamilton,22,2015,63,50,87,85,83,62,0.5,1 LB,Nick Moody,26,2013,65,68,77,77,71,75,0.6,1 LB,KJ Wright,26,2011,79,86,95,91,78,85,6.8,4 LB,Khairi Fortt,24,2014,78,57,78,73,68,64,0.5,1 LB,Bobby Wagner,25,2012,85,86,94,97,86,90,10.8,4 LB,Kevin Pierre-Louis,24,2014,77,62,85,80,72,54,0.7,4 LB,Brock Coyle,25,2014,62,67,93,79,62,71,0.5,3 END_PLAYERS San Francisco 49ers,SF QB,Colin Kaepernick,28,2011,84,75,95,95,78,80,19,6 QB,Thad Lewis,28,2010,61,65,92,88,70,57,0.8,1 QB,Blaine Gabbert,26,2011,89,65,90,88,72,47,2,2 RB,Shaun Draughn,28,2011,61,72,87,80,82,65,0.9,1 RB,Mike Davis,23,2015,78,55,77,84,88,65,0.7,4 RB,Bruce Miller,28,2011,69,78,93,66,81,35,1.8,3 RB,Carlos Hyde,24,2014,87,69,92,90,85,66,0.9,4 WR,Jerome Simpson,30,2008,83,75,92,78,87,85,0.9,2 WR,DeAndre Smelter,24,2015,79,48,73,79,87,77,0.7,4 WR,Dres Anderson,23,2015,63,62,75,80,88,84,0.5,3 WR,Quinton Patton,25,2013,76,54,90,82,87,85,0.6,4 WR,Vance McDonald,26,2013,86,66,88,73,81,52,0.9,4 WR,Torrey Smith,27,2011,84,86,93,88,89,83,8,5 WR,Bruce Ellington,24,2014,82,53,91,83,90,88,0.7,4 OL,Erik Pears,34,2005,55,78,93,86,70,80,2.9,2 OL,Daniel Kilgore,28,2011,74,76,88,89,90,77,1.8,3 OL,Joe Staley,31,2007,80,95,91,88,97,90,7.4,6 OL,Ian Silberman,23,2015,73,49,87,81,81,72,0.6,4 OL,Brandon Thomas,25,2014,83,54,76,93,83,76,0.7,4 OL,Andrew Tiller,26,2012,71,55,91,79,81,72,0.6,2 OL,Marcus Martin,22,2014,87,68,83,82,85,74,0.8,4 OL,Joshua Garnett,22,2016,90,65,85,85,91,80,2.3,4 OL,Zane Beadles,29,2010,83,81,93,83,74,89,3.3,3 K,Phil Dawson,41,2098,48,93,85,92,89,60,3.1,1 K,Bradley Pinion,22,2015,78,55,92,91,78,74,0.6,4 S,Eric Reid,24,2013,91,67,90,82,94,93,2.1,4 S,LJ McCray,25,2014,62,40,88,69,92,75,0.5,3 S,Antoine Bethea,31,2006,64,91,96,85,88,80,5.3,4 S,Jimmie Ward,24,2014,87,59,95,71,90,77,1.8,4 S,Jaquiski Tartt,24,2015,88,45,92,66,90,84,1.3,4 CB,Keith Reaser,24,2014,78,38,76,74,88,45,0.6,4 CB,Chris Davis,25,2014,62,60,93,76,87,78,0.6,2 CB,Tramaine Brock,27,2010,58,76,93,79,90,52,3.5,4 CB,Kenneth Acker,24,2014,72,47,91,79,89,42,0.6,4 CB,Dontae Johnson,24,2014,77,60,92,84,92,60,0.7,4 CB,Marcus Cromartie,25,2013,62,49,90,79,89,55,0.6,2 DL,DeForest Buckner,22,2016,105,65,85,91,86,81,4.5,4 DL,Arik Armstead,22,2015,93,48,87,85,81,91,2.5,4 DL,Tony Jerod-Eddie,26,2012,62,75,91,83,79,82,1,1 DL,Glenn Dorsey,30,2008,96,77,88,86,64,75,4.4,2 DL,Kaleb Ramsey,27,2014,68,52,72,94,78,84,0.6,2 DL,Quinton Dial,25,2013,76,70,85,87,79,86,4.2,3 DL,Ian Williams,26,2011,59,76,83,93,78,87,3,1 LB,Ahmad Brooks,32,2006,74,83,87,87,78,78,6.7,6 LB,Aaron Lynch,23,2014,77,75,88,77,91,70,0.6,4 LB,Eli Harold,22,2015,83,49,92,77,72,54,0.8,4 LB,Navorro Bowman,28,2010,78,89,87,97,81,88,9.1,5 LB,Gerald Hodges,25,2013,81,78,88,89,58,80,0.6,4 LB,Nick Bellore,27,2011,59,70,87,86,64,72,0.8,2 LB,Michael Wilhoite,29,2011,60,77,90,83,66,82,1.7,1 LB,Corey Lemonier,24,2013,81,63,90,73,61,65,0.7,4 END_PLAYERS

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Poole, Mackworth & Goebel 1998, p. 1. Russell & Norvig 2003, p. 55. Definition of AI as the study of intelligent agents: Poole, Mackworth & Goebel (1998), which provides the version that is used in this article. These authors use the term "computational intelligence" as a synonym for artificial intelligence.[1] Russell & Norvig (2003) (who prefer the term "rational agent") and write "The whole-agent view is now widely accepted in the field".[2] Nilsson 1998 Legg & Hutter 2007 Russell & Norvig 2009, p. 2. McCorduck 2004, p. 204 Maloof, Mark. "Artificial Intelligence: An Introduction, p. 37" (PDF). georgetown.edu. Archived (PDF) from the original on 25 August 2018. "How AI Is Getting Groundbreaking Changes In Talent Management And HR Tech". Hackernoon. Archived from the original on 11 September 2019. Retrieved 14 February 2020. Schank, Roger C. (1991). "Where's the AI". AI magazine. Vol. 12 no. 4. p. 38. Russell & Norvig 2009. "AlphaGo – Google DeepMind". Archived from the original on 10 March 2016. Allen, Gregory (April 2020). "Department of Defense Joint AI Center - Understanding AI Technology" (PDF). AI.mil - The official site of the Department of Defense Joint Artificial Intelligence Center. Archived (PDF) from the original on 21 April 2020. Retrieved 25 April 2020. Optimism of early AI: * Herbert Simon quote: Simon 1965, p. 96 quoted in Crevier 1993, p. 109. * Marvin Minsky quote: Minsky 1967, p. 2 quoted in Crevier 1993, p. 109. Boom of the 1980s: rise of expert systems, Fifth Generation Project, Alvey, MCC, SCI: * McCorduck 2004, pp. 426–441 * Crevier 1993, pp. 161–162,197–203, 211, 240 * Russell & Norvig 2003, p. 24 * NRC 1999, pp. 210–211 * Newquist 1994, pp. 235–248 First AI Winter, Mansfield Amendment, Lighthill report * Crevier 1993, pp. 115–117 * Russell & Norvig 2003, p. 22 * NRC 1999, pp. 212–213 * Howe 1994 * Newquist 1994, pp. 189–201 Second AI winter: * McCorduck 2004, pp. 430–435 * Crevier 1993, pp. 209–210 * NRC 1999, pp. 214–216 * Newquist 1994, pp. 301–318 AI becomes hugely successful in the early 21st century * Clark 2015 Pamela McCorduck (2004, p. 424) writes of "the rough shattering of AI in subfields—vision, natural language, decision theory, genetic algorithms, robotics ... and these with own sub-subfield—that would hardly have anything to say to each other." This list of intelligent traits is based on the topics covered by the major AI textbooks, including: * Russell & Norvig 2003 * Luger & Stubblefield 2004 * Poole, Mackworth & Goebel 1998 * Nilsson 1998 Kolata 1982. Maker 2006. Biological intelligence vs. intelligence in general: Russell & Norvig 2003, pp. 2–3, who make the analogy with aeronautical engineering. McCorduck 2004, pp. 100–101, who writes that there are "two major branches of artificial intelligence: one aimed at producing intelligent behavior regardless of how it was accomplished, and the other aimed at modeling intelligent processes found in nature, particularly human ones." Kolata 1982, a paper in Science, which describes McCarthy's indifference to biological models. Kolata quotes McCarthy as writing: "This is AI, so we don't care if it's psychologically real".[19] McCarthy recently reiterated his position at the AI@50 conference where he said "Artificial intelligence is not, by definition, simulation of human intelligence".[20]. Neats vs. scruffies: * McCorduck 2004, pp. 421–424, 486–489 * Crevier 1993, p. 168 * Nilsson 1983, pp. 10–11 Symbolic vs. sub-symbolic AI: * Nilsson (1998, p. 7), who uses the term "sub-symbolic". General intelligence (strong AI) is discussed in popular introductions to AI: * Kurzweil 1999 and Kurzweil 2005 See the Dartmouth proposal, under Philosophy, below. McCorduck 2004, p. 34. McCorduck 2004, p. xviii. McCorduck 2004, p. 3. McCorduck 2004, pp. 340–400. This is a central idea of Pamela McCorduck's Machines Who Think. She writes: "I like to think of artificial intelligence as the scientific apotheosis of a venerable cultural tradition."[26] "Artificial intelligence in one form or another is an idea that has pervaded Western intellectual history, a dream in urgent need of being realized."[27] "Our history is full of attempts—nutty, eerie, comical, earnest, legendary and real—to make artificial intelligences, to reproduce what is the essential us—bypassing the ordinary means. Back and forth between myth and reality, our imaginations supplying what our workshops couldn't, we have engaged for a long time in this odd form of self-reproduction."[28] She traces the desire back to its Hellenistic roots and calls it the urge to "forge the Gods."[29] "Stephen Hawking believes AI could be mankind's last accomplishment". BetaNews. 21 October 2016. Archived from the original on 28 August 2017. Lombardo P, Boehm I, Nairz K (2020). "RadioComics – Santa Claus and the future of radiology". Eur J Radiol. 122 (1): 108771. doi:10.1016/j.ejrad.2019.108771. PMID 31835078. Ford, Martin; Colvin, Geoff (6 September 2015). "Will robots create more jobs than they destroy?". The Guardian. Archived from the original on 16 June 2018. Retrieved 13 January 2018. AI applications widely used behind the scenes: * Russell & Norvig 2003, p. 28 * Kurzweil 2005, p. 265 * NRC 1999, pp. 216–222 * Newquist 1994, pp. 189–201 AI in myth: * McCorduck 2004, pp. 4–5 * Russell & Norvig 2003, p. 939 AI in early science fiction. * McCorduck 2004, pp. 17–25 Formal reasoning: * Berlinski, David (2000). The Advent of the Algorithm. Harcourt Books. ISBN 978-0-15-601391-8. OCLC 46890682. Archived from the original on 26 July 2020. Retrieved 22 August 2020. Turing, Alan (1948), "Machine Intelligence", in Copeland, B. Jack (ed.), The Essential Turing: The ideas that gave birth to the computer age, Oxford: Oxford University Press, p. 412, ISBN 978-0-19-825080-7 Russell & Norvig 2009, p. 16. Dartmouth conference: * McCorduck 2004, pp. 111–136 * Crevier 1993, pp. 47–49, who writes "the conference is generally recognized as the official birthdate of the new science." * Russell & Norvig 2003, p. 17, who call the conference "the birth of artificial intelligence." * NRC 1999, pp. 200–201 McCarthy, John (1988). "Review of The Question of Artificial Intelligence". Annals of the History of Computing. 10 (3): 224–229., collected in McCarthy, John (1996). "10. Review of The Question of Artificial Intelligence". Defending AI Research: A Collection of Essays and Reviews. CSLI., p. 73, "[O]ne of the reasons for inventing the term "artificial intelligence" was to escape association with "cybernetics". Its concentration on analog feedback seemed misguided, and I wished to avoid having either to accept Norbert (not Robert) Wiener as a guru or having to argue with him." Hegemony of the Dartmouth conference attendees: * Russell & Norvig 2003, p. 17, who write "for the next 20 years the field would be dominated by these people and their students." * McCorduck 2004, pp. 129–130 Russell & Norvig 2003, p. 18. Schaeffer J. (2009) Didn't Samuel Solve That Game?. In: One Jump Ahead. Springer, Boston, MA Samuel, A. L. (July 1959). "Some Studies in Machine Learning Using the Game of Checkers". IBM Journal of Research and Development. 3 (3): 210–229. CiteSeerX 10.1.1.368.2254. doi:10.1147/rd.33.0210. "Golden years" of AI (successful symbolic reasoning programs 1956–1973): * McCorduck 2004, pp. 243–252 * Crevier 1993, pp. 52–107 * Moravec 1988, p. 9 * Russell & Norvig 2003, pp. 18–21 The programs described are Arthur Samuel's checkers program for the IBM 701, Daniel Bobrow's STUDENT, Newell and Simon's Logic Theorist and Terry Winograd's SHRDLU. DARPA pours money into undirected pure research into AI during the 1960s: * McCorduck 2004, p. 131 * Crevier 1993, pp. 51, 64–65 * NRC 1999, pp. 204–205 AI in England: * Howe 1994 Lighthill 1973. Expert systems: * ACM 1998, I.2.1 * Russell & Norvig 2003, pp. 22–24 * Luger & Stubblefield 2004, pp. 227–331 * Nilsson 1998, chpt. 17.4 * McCorduck 2004, pp. 327–335, 434–435 * Crevier 1993, pp. 145–62, 197–203 * Newquist 1994, pp. 155–183 Mead, Carver A.; Ismail, Mohammed (8 May 1989). Analog VLSI Implementation of Neural Systems (PDF). The Kluwer International Series in Engineering and Computer Science. 80. Norwell, MA: Kluwer Academic Publishers. doi:10.1007/978-1-4613-1639-8. ISBN 978-1-4613-1639-8. Archived from the original (PDF) on 6 November 2019. Retrieved 24 January 2020. Formal methods are now preferred ("Victory of the neats"): * Russell & Norvig 2003, pp. 25–26 * McCorduck 2004, pp. 486–487 McCorduck 2004, pp. 480–483. Markoff 2011. 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"Artificial Intelligence: You know it isn't real, yeah?". www.theregister.co.uk. Archived from the original on 21 May 2020. Retrieved 22 August 2020. "Stop Calling it Artificial Intelligence". Archived from the original on 2 December 2019. Retrieved 1 December 2019. "AI isn't taking over the world – it doesn't exist yet". GBG Global website. Archived from the original on 11 August 2020. Retrieved 22 August 2020. Kaplan, Andreas; Haenlein, Michael (1 January 2019). "Siri, Siri, in my hand: Who's the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence". Business Horizons. 62 (1): 15–25. doi:10.1016/j.bushor.2018.08.004. Domingos 2015, Chapter 5. Domingos 2015, Chapter 7. Lindenbaum, M., Markovitch, S., & Rusakov, D. (2004). Selective sampling for nearest neighbor classifiers. Machine learning, 54(2), 125–152. Domingos 2015, Chapter 1. Intractability and efficiency and the combinatorial explosion: * Russell & Norvig 2003, pp. 9, 21–22 Domingos 2015, Chapter 2, Chapter 3. Hart, P. E.; Nilsson, N. J.; Raphael, B. (1972). "Correction to "A Formal Basis for the Heuristic Determination of Minimum Cost Paths"". SIGART Newsletter (37): 28–29. doi:10.1145/1056777.1056779. S2CID 6386648. Domingos 2015, Chapter 2, Chapter 4, Chapter 6. "Can neural network computers learn from experience, and if so, could they ever become what we would call 'smart'?". Scientific American. 2018. Archived from the original on 25 March 2018. Retrieved 24 March 2018. Domingos 2015, Chapter 6, Chapter 7. Domingos 2015, p. 286. "Single pixel change fools AI programs". BBC News. 3 November 2017. Archived from the original on 22 March 2018. Retrieved 12 March 2018. "AI Has a Hallucination Problem That's Proving Tough to Fix". WIRED. 2018. Archived from the original on 12 March 2018. Retrieved 12 March 2018. Matti, D.; Ekenel, H. K.; Thiran, J. P. 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Cognitive Systems Research. 48: 39–55. doi:10.1016/j.cogsys.2017.05.001. hdl:2318/1665207. S2CID 206868967. Problem solving, puzzle solving, game playing and deduction: * Russell & Norvig 2003, chpt. 3–9, * Poole, Mackworth & Goebel 1998, chpt. 2,3,7,9, * Luger & Stubblefield 2004, chpt. 3,4,6,8, * Nilsson 1998, chpt. 7–12 Uncertain reasoning: * Russell & Norvig 2003, pp. 452–644, * Poole, Mackworth & Goebel 1998, pp. 345–395, * Luger & Stubblefield 2004, pp. 333–381, * Nilsson 1998, chpt. 19 Psychological evidence of sub-symbolic reasoning: * Wason & Shapiro (1966) showed that people do poorly on completely abstract problems, but if the problem is restated to allow the use of intuitive social intelligence, performance dramatically improves. (See Wason selection task) * Kahneman, Slovic & Tversky (1982) have shown that people are terrible at elementary problems that involve uncertain reasoning. (See list of cognitive biases for several examples). * Lakoff & Núñez (2000) have controversially argued that even our skills at mathematics depend on knowledge and skills that come from "the body", i.e. sensorimotor and perceptual skills. (See Where Mathematics Comes From) Knowledge representation: * ACM 1998, I.2.4, * Russell & Norvig 2003, pp. 320–363, * Poole, Mackworth & Goebel 1998, pp. 23–46, 69–81, 169–196, 235–277, 281–298, 319–345, * Luger & Stubblefield 2004, pp. 227–243, * Nilsson 1998, chpt. 18 Knowledge engineering: * Russell & Norvig 2003, pp. 260–266, * Poole, Mackworth & Goebel 1998, pp. 199–233, * Nilsson 1998, chpt. ≈17.1–17.4 Representing categories and relations: Semantic networks, description logics, inheritance (including frames and scripts): * Russell & Norvig 2003, pp. 349–354, * Poole, Mackworth & Goebel 1998, pp. 174–177, * Luger & Stubblefield 2004, pp. 248–258, * Nilsson 1998, chpt. 18.3 Representing events and time:Situation calculus, event calculus, fluent calculus (including solving the frame problem): * Russell & Norvig 2003, pp. 328–341, * Poole, Mackworth & Goebel 1998, pp. 281–298, * Nilsson 1998, chpt. 18.2 Causal calculus: * Poole, Mackworth & Goebel 1998, pp. 335–337 Representing knowledge about knowledge: Belief calculus, modal logics: * Russell & Norvig 2003, pp. 341–344, * Poole, Mackworth & Goebel 1998, pp. 275–277 Sikos, Leslie F. (June 2017). Description Logics in Multimedia Reasoning. Cham: Springer. doi:10.1007/978-3-319-54066-5. ISBN 978-3-319-54066-5. S2CID 3180114. Archived from the original on 29 August 2017. Ontology: * Russell & Norvig 2003, pp. 320–328 Smoliar, Stephen W.; Zhang, HongJiang (1994). "Content based video indexing and retrieval". IEEE Multimedia. 1 (2): 62–72. doi:10.1109/93.311653. S2CID 32710913. Neumann, Bernd; Möller, Ralf (January 2008). "On scene interpretation with description logics". Image and Vision Computing. 26 (1): 82–101. doi:10.1016/j.imavis.2007.08.013. Kuperman, G. J.; Reichley, R. M.; Bailey, T. C. (1 July 2006). "Using Commercial Knowledge Bases for Clinical Decision Support: Opportunities, Hurdles, and Recommendations". Journal of the American Medical Informatics Association. 13 (4): 369–371. doi:10.1197/jamia.M2055. PMC 1513681. PMID 16622160. MCGARRY, KEN (1 December 2005). "A survey of interestingness measures for knowledge discovery". The Knowledge Engineering Review. 20 (1): 39–61. doi:10.1017/S0269888905000408. S2CID 14987656. Bertini, M; Del Bimbo, A; Torniai, C (2006). "Automatic annotation and semantic retrieval of video sequences using multimedia ontologies". MM '06 Proceedings of the 14th ACM international conference on Multimedia. 14th ACM international conference on Multimedia. Santa Barbara: ACM. pp. 679–682. Qualification problem: * McCarthy & Hayes 1969 * Russell & Norvig 2003[page needed] While McCarthy was primarily concerned with issues in the logical representation of actions, Russell & Norvig 2003 apply the term to the more general issue of default reasoning in the vast network of assumptions underlying all our commonsense knowledge. Default reasoning and default logic, non-monotonic logics, circumscription, closed world assumption, abduction (Poole et al. places abduction under "default reasoning". Luger et al. places this under "uncertain reasoning"): * Russell & Norvig 2003, pp. 354–360, * Poole, Mackworth & Goebel 1998, pp. 248–256, 323–335, * Luger & Stubblefield 2004, pp. 335–363, * Nilsson 1998, ~18.3.3 Breadth of commonsense knowledge: * Russell & Norvig 2003, p. 21, * Crevier 1993, pp. 113–114, * Moravec 1988, p. 13, * Lenat & Guha 1989 (Introduction) Dreyfus & Dreyfus 1986. Gladwell 2005. Expert knowledge as embodied intuition: * Dreyfus & Dreyfus 1986 (Hubert Dreyfus is a philosopher and critic of AI who was among the first to argue that most useful human knowledge was encoded sub-symbolically. See Dreyfus' critique of AI) * Gladwell 2005 (Gladwell's Blink is a popular introduction to sub-symbolic reasoning and knowledge.) * Hawkins & Blakeslee 2005 (Hawkins argues that sub-symbolic knowledge should be the primary focus of AI research.) Planning: * ACM 1998, ~I.2.8, * Russell & Norvig 2003, pp. 375–459, * Poole, Mackworth & Goebel 1998, pp. 281–316, * Luger & Stubblefield 2004, pp. 314–329, * Nilsson 1998, chpt. 10.1–2, 22 Information value theory: * Russell & Norvig 2003, pp. 600–604 Classical planning: * Russell & Norvig 2003, pp. 375–430, * Poole, Mackworth & Goebel 1998, pp. 281–315, * Luger & Stubblefield 2004, pp. 314–329, * Nilsson 1998, chpt. 10.1–2, 22 Planning and acting in non-deterministic domains: conditional planning, execution monitoring, replanning and continuous planning: * Russell & Norvig 2003, pp. 430–449 Multi-agent planning and emergent behavior: * Russell & Norvig 2003, pp. 449–455 Turing 1950. Solomonoff 1956. Alan Turing discussed the centrality of learning as early as 1950, in his classic paper "Computing Machinery and Intelligence".[120] In 1956, at the original Dartmouth AI summer conference, Ray Solomonoff wrote a report on unsupervised probabilistic machine learning: "An Inductive Inference Machine".[121] This is a form of Tom Mitchell's widely quoted definition of machine learning: "A computer program is set to learn from an experience E with respect to some task T and some performance measure P if its performance on T as measured by P improves with experience E." Learning: * ACM 1998, I.2.6, * Russell & Norvig 2003, pp. 649–788, * Poole, Mackworth & Goebel 1998, pp. 397–438, * Luger & Stubblefield 2004, pp. 385–542, * Nilsson 1998, chpt. 3.3, 10.3, 17.5, 20 Jordan, M. I.; Mitchell, T. M. (16 July 2015). "Machine learning: Trends, perspectives, and prospects". Science. 349 (6245): 255–260. Bibcode:2015Sci...349..255J. doi:10.1126/science.aaa8415. PMID 26185243. S2CID 677218. Reinforcement learning: * Russell & Norvig 2003, pp. 763–788 * Luger & Stubblefield 2004, pp. 442–449 Natural language processing: * ACM 1998, I.2.7 * Russell & Norvig 2003, pp. 790–831 * Poole, Mackworth & Goebel 1998, pp. 91–104 * Luger & Stubblefield 2004, pp. 591–632 "Versatile question answering systems: seeing in synthesis" Archived 1 February 2016 at the Wayback Machine, Mittal et al., IJIIDS, 5(2), 119–142, 2011 Applications of natural language processing, including information retrieval (i.e. text mining) and machine translation: * Russell & Norvig 2003, pp. 840–857, * Luger & Stubblefield 2004, pp. 623–630 Cambria, Erik; White, Bebo (May 2014). "Jumping NLP Curves: A Review of Natural Language Processing Research [Review Article]". IEEE Computational Intelligence Magazine. 9 (2): 48–57. doi:10.1109/MCI.2014.2307227. S2CID 206451986. Vincent, James (7 November 2019). "OpenAI has published the text-generating AI it said was too dangerous to share". The Verge. Archived from the original on 11 June 2020. Retrieved 11 June 2020. Machine perception: * Russell & Norvig 2003, pp. 537–581, 863–898 * Nilsson 1998, ~chpt. 6 Speech recognition: * ACM 1998, ~I.2.7 * Russell & Norvig 2003, pp. 568–578 Object recognition: * Russell & Norvig 2003, pp. 885–892 Computer vision: * ACM 1998, I.2.10 * Russell & Norvig 2003, pp. 863–898 * Nilsson 1998, chpt. 6 Robotics: * ACM 1998, I.2.9, * Russell & Norvig 2003, pp. 901–942, * Poole, Mackworth & Goebel 1998, pp. 443–460 Moving and configuration space: * Russell & Norvig 2003, pp. 916–932 Tecuci 2012. Robotic mapping (localization, etc): * Russell & Norvig 2003, pp. 908–915 Cadena, Cesar; Carlone, Luca; Carrillo, Henry; Latif, Yasir; Scaramuzza, Davide; Neira, Jose; Reid, Ian; Leonard, John J. (December 2016). "Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age". IEEE Transactions on Robotics. 32 (6): 1309–1332. arXiv:1606.05830. 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Retrieved 26 April 2018. Domingos 2015. Artificial brain arguments: AI requires a simulation of the operation of the human brain * Russell & Norvig 2003, p. 957 * Crevier 1993, pp. 271 and 279 A few of the people who make some form of the argument: * Moravec 1988 * Kurzweil 2005, p. 262 * Hawkins & Blakeslee 2005 The most extreme form of this argument (the brain replacement scenario) was put forward by Clark Glymour in the mid-1970s and was touched on by Zenon Pylyshyn and John Searle in 1980. Goertzel, Ben; Lian, Ruiting; Arel, Itamar; de Garis, Hugo; Chen, Shuo (December 2010). "A world survey of artificial brain projects, Part II: Biologically inspired cognitive architectures". Neurocomputing. 74 (1–3): 30–49. doi:10.1016/j.neucom.2010.08.012. Nilsson 1983, p. 10. Nils Nilsson writes: "Simply put, there is wide disagreement in the field about what AI is all about."[163] AI's immediate precursors: * McCorduck 2004, pp. 51–107 * Crevier 1993, pp. 27–32 * Russell & Norvig 2003, pp. 15, 940 * Moravec 1988, p. 3 Haugeland 1985, pp. 112–117 The most dramatic case of sub-symbolic AI being pushed into the background was the devastating critique of perceptrons by Marvin Minsky and Seymour Papert in 1969. See History of AI, AI winter, or Frank Rosenblatt. Cognitive simulation, Newell and Simon, AI at CMU (then called Carnegie Tech): * McCorduck 2004, pp. 139–179, 245–250, 322–323 (EPAM) * Crevier 1993, pp. 145–149 Soar (history): * McCorduck 2004, pp. 450–451 * Crevier 1993, pp. 258–263 McCarthy and AI research at SAIL and SRI International: * McCorduck 2004, pp. 251–259 * Crevier 1993 AI research at Edinburgh and in France, birth of Prolog: * Crevier 1993, pp. 193–196 * Howe 1994 AI at MIT under Marvin Minsky in the 1960s : * McCorduck 2004, pp. 259–305 * Crevier 1993, pp. 83–102, 163–176 * Russell & Norvig 2003, p. 19 Cyc: * McCorduck 2004, p. 489, who calls it "a determinedly scruffy enterprise" * Crevier 1993, pp. 239–243 * Russell & Norvig 2003, p. 363−365 * Lenat & Guha 1989 Knowledge revolution: * McCorduck 2004, pp. 266–276, 298–300, 314, 421 * Russell & Norvig 2003, pp. 22–23 Frederick, Hayes-Roth; William, Murray; Leonard, Adelman. "Expert systems". AccessScience. doi:10.1036/1097-8542.248550. Embodied approaches to AI: * McCorduck 2004, pp. 454–462 * Brooks 1990 * Moravec 1988 Weng et al. 2001. Lungarella et al. 2003. Asada et al. 2009. Oudeyer 2010. Revival of connectionism: * Crevier 1993, pp. 214–215 * Russell & Norvig 2003, p. 25 Computational intelligence * IEEE Computational Intelligence Society Archived 9 May 2008 at the Wayback Machine Hutson, Matthew (16 February 2018). "Artificial intelligence faces reproducibility crisis". Science. pp. 725–726. Bibcode:2018Sci...359..725H. doi:10.1126/science.359.6377.725. Archived from the original on 29 April 2018. Retrieved 28 April 2018. Norvig 2012. Langley 2011. Katz 2012. The intelligent agent paradigm: * Russell & Norvig 2003, pp. 27, 32–58, 968–972 * Poole, Mackworth & Goebel 1998, pp. 7–21 * Luger & Stubblefield 2004, pp. 235–240 * Hutter 2005, pp. 125–126 The definition used in this article, in terms of goals, actions, perception and environment, is due to Russell & Norvig (2003). Other definitions also include knowledge and learning as additional criteria. Agent architectures, hybrid intelligent systems: * Russell & Norvig (2003, pp. 27, 932, 970–972) * Nilsson (1998, chpt. 25) Hierarchical control system: * Albus 2002 Lieto, Antonio; Lebiere, Christian; Oltramari, Alessandro (May 2018). "The knowledge level in cognitive architectures: Current limitations and possibile developments". Cognitive Systems Research. 48: 39–55. doi:10.1016/j.cogsys.2017.05.001. hdl:2318/1665207. S2CID 206868967. Lieto, Antonio; Bhatt, Mehul; Oltramari, Alessandro; Vernon, David (May 2018). "The role of cognitive architectures in general artificial intelligence". Cognitive Systems Research. 48: 1–3. doi:10.1016/j.cogsys.2017.08.003. hdl:2318/1665249. S2CID 36189683. Russell & Norvig 2009, p. 1. White Paper: On Artificial Intelligence - A European approach to excellence and trust (PDF). Brussels: European Commission. 2020. p. 1. Archived (PDF) from the original on 20 February 2020. Retrieved 20 February 2020. CNN 2006. Using AI to predict flight delays Archived 20 November 2018 at the Wayback Machine, Ishti.org. N. Aletras; D. Tsarapatsanis; D. Preotiuc-Pietro; V. Lampos (2016). "Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective". PeerJ Computer Science. 2: e93. doi:10.7717/peerj-cs.93. "The Economist Explains: Why firms are piling into artificial intelligence". The Economist. 31 March 2016. Archived from the original on 8 May 2016. Retrieved 19 May 2016. Lohr, Steve (28 February 2016). "The Promise of Artificial Intelligence Unfolds in Small Steps". The New York Times. Archived from the original on 29 February 2016. Retrieved 29 February 2016. Frangoul, Anmar (14 June 2019). "A Californian business is using A.I. to change the way we think about energy storage". CNBC. Archived from the original on 25 July 2020. Retrieved 5 November 2019. Wakefield, Jane (15 June 2016). "Social media 'outstrips TV' as news source for young people". BBC News. Archived from the original on 24 June 2016. Smith, Mark (22 July 2016). "So you think you chose to read this article?". BBC News. Archived from the original on 25 July 2016. Brown, Eileen. "Half of Americans do not believe deepfake news could target them online". ZDNet. Archived from the original on 6 November 2019. Retrieved 3 December 2019. The Turing test: Turing's original publication: * Turing 1950 Historical influence and philosophical implications: * Haugeland 1985, pp. 6–9 * Crevier 1993, p. 24 * McCorduck 2004, pp. 70–71 * Russell & Norvig 2003, pp. 2–3 and 948 Dartmouth proposal: * McCarthy et al. 1955 (the original proposal) * Crevier 1993, p. 49 (historical significance) The physical symbol systems hypothesis: * Newell & Simon 1976, p. 116 * McCorduck 2004, p. 153 * Russell & Norvig 2003, p. 18 Dreyfus 1992, p. 156. Dreyfus criticized the necessary condition of the physical symbol system hypothesis, which he called the "psychological assumption": "The mind can be viewed as a device operating on bits of information according to formal rules."[206] Dreyfus' critique of artificial intelligence: * Dreyfus 1972, Dreyfus & Dreyfus 1986 * Crevier 1993, pp. 120–132 * McCorduck 2004, pp. 211–239 * Russell & Norvig 2003, pp. 950–952, Gödel 1951: in this lecture, Kurt Gödel uses the incompleteness theorem to arrive at the following disjunction: (a) the human mind is not a consistent finite machine, or (b) there exist Diophantine equations for which it cannot decide whether solutions exist. Gödel finds (b) implausible, and thus seems to have believed the human mind was not equivalent to a finite machine, i.e., its power exceeded that of any finite machine. He recognized that this was only a conjecture, since one could never disprove (b). Yet he considered the disjunctive conclusion to be a "certain fact". The Mathematical Objection: * Russell & Norvig 2003, p. 949 * McCorduck 2004, pp. 448–449 Making the Mathematical Objection: * Lucas 1961 * Penrose 1989 Refuting Mathematical Objection: * Turing 1950 under "(2) The Mathematical Objection" * Hofstadter 1979 Background: * Gödel 1931, Church 1936, Kleene 1935, Turing 1937 Graham Oppy (20 January 2015). "Gödel's Incompleteness Theorems". Stanford Encyclopedia of Philosophy. Archived from the original on 22 April 2016. Retrieved 27 April 2016. These Gödelian anti-mechanist arguments are, however, problematic, and there is wide consensus that they fail. Stuart J. Russell; Peter Norvig (2010). "26.1.2: Philosophical Foundations/Weak AI: Can Machines Act Intelligently?/The mathematical objection". Artificial Intelligence: A Modern Approach (3rd ed.). Upper Saddle River, NJ: Prentice Hall. ISBN 978-0-13-604259-4. even if we grant that computers have limitations on what they can prove, there is no evidence that humans are immune from those limitations. Mark Colyvan. An introduction to the philosophy of mathematics. Cambridge University Press, 2012. From 2.2.2, 'Philosophical significance of Gödel's incompleteness results': "The accepted wisdom (with which I concur) is that the Lucas-Penrose arguments fail." Iphofen, Ron; Kritikos, Mihalis (3 January 2019). "Regulating artificial intelligence and robotics: ethics by design in a digital society". Contemporary Social Science: 1–15. doi:10.1080/21582041.2018.1563803. ISSN 2158-2041. "Ethical AI Learns Human Rights Framework". Voice of America. Archived from the original on 11 November 2019. Retrieved 10 November 2019. Crevier 1993, pp. 132–144. In the early 1970s, Kenneth Colby presented a version of Weizenbaum's ELIZA known as DOCTOR which he promoted as a serious therapeutic tool.[216] Joseph Weizenbaum's critique of AI: * Weizenbaum 1976 * Crevier 1993, pp. 132–144 * McCorduck 2004, pp. 356–373 * Russell & Norvig 2003, p. 961 Weizenbaum (the AI researcher who developed the first chatterbot program, ELIZA) argued in 1976 that the misuse of artificial intelligence has the potential to devalue human life. Wendell Wallach (2010). Moral Machines, Oxford University Press. Wallach, pp 37–54. Wallach, pp 55–73. Wallach, Introduction chapter. Michael Anderson and Susan Leigh Anderson (2011), Machine Ethics, Cambridge University Press. "Machine Ethics". aaai.org. Archived from the original on 29 November 2014. Rubin, Charles (Spring 2003). "Artificial Intelligence and Human Nature". The New Atlantis. 1: 88–100. Archived from the original on 11 June 2012. Brooks, Rodney (10 November 2014). "artificial intelligence is a tool, not a threat". Archived from the original on 12 November 2014. "Stephen Hawking, Elon Musk, and Bill Gates Warn About Artificial Intelligence". Observer. 19 August 2015. Archived from the original on 30 October 2015. Retrieved 30 October 2015. Chalmers, David (1995). "Facing up to the problem of consciousness". Journal of Consciousness Studies. 2 (3): 200–219. Archived from the original on 8 March 2005. Retrieved 11 October 2018. See also this link Archived 8 April 2011 at the Wayback Machine Horst, Steven, (2005) "The Computational Theory of Mind" Archived 11 September 2018 at the Wayback Machine in The Stanford Encyclopedia of Philosophy Searle 1980, p. 1. This version is from Searle (1999), and is also quoted in Dennett 1991, p. 435. Searle's original formulation was "The appropriately programmed computer really is a mind, in the sense that computers given the right programs can be literally said to understand and have other cognitive states." [230] Strong AI is defined similarly by Russell & Norvig (2003, p. 947): "The assertion that machines could possibly act intelligently

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absolute%3B top%3A -10px%3B right%3A -10px%3B font-size%3A 1.5rem%3B border-radius%3A 10px%3B font-family%3A Nunito%3B font-weight%3A bolder%3B padding-top%3A 10px%3B padding-right%3A 15px%3B color%3A white%3B">X<%2Fbutton> <%2Fdiv><div style%3D"display%3A block%3B margin%3A 10px%3B min-height%3A 70px%3B"> <div id%3D"curPage">No Game Found?<%2Fdiv><div id%3D"name">Name%3A None<%2Fdiv><div>(E To Hide UI)<%2Fdiv><details open%3D""> <summary style%3D"padding%3A 10px%3B font-size%3A 1.5em%3B font-weight%3A bolder">Main Mods<%2Fsummary> <button id%3D"token" class%3D"hack">Daily 500 Tokens/XP<%2Fbutton> <button id%3D"spoof" class%3D"hack">Unlock Blooks<%2Fbutton> <button id%3D"open" class%3D"hack">Spam Open Boxes<%2Fbutton> <button id%3D"sell" class%3D"hack"> Sell Duplicates<%2Fbutton> <button id%3D"correct" class%3D"hack">All Answer Correct<%2Fbutton> <%2Fdetails><br><div id%3D"LoadedGame"> <%2Fdiv><div> Open source on <a href%3D"https%3A%2F%2F">Deez<%2Fa><%2Fdiv><%2Fdiv>%60%3B%0A element.style %3D %60width%3A 350px%3B background%3A rgb(64%2C 64%2C 64)%3B border-radius%3A 8px%3B position%3A absolute%3B text-align%3A center%3B font-family%3A Nunito%3B color%3A white%3B overflow%3A hidden%3B top%3A 5%25%3B left%3A 40%25%3B%60%3B%0A document.body.appendChild(element)%3B%0A var pos1 %3D 0%2C%0A pos2 %3D 0%2C%0A pos3 %3D 0%2C%0A pos4 %3D 0%3B%0A element.onmousedown %3D ((e %3D window.event) %3D> %7B%0A e.preventDefault()%3B%0A pos3 %3D e.clientX%3B%0A pos4 %3D e.clientY%3B%0A document.onmouseup %3D (() %3D> %7B%0A document.onmouseup %3D null%3B%0A document.onmousemove %3D null%3B%0A %7D)%3B%0A document.onmousemove %3D ((e) %3D> %7B%0A e %3D e %7C%7C window.event%3B%0A e.preventDefault()%3B%0A pos1 %3D pos3 - e.clientX%3B%0A pos2 %3D pos4 - e.clientY%3B%0A pos3 %3D e.clientX%3B%0A pos4 %3D e.clientY%3B%0A let top %3D (element.offsetTop - pos2) > 0 %3F (element.offsetTop - pos2) %3A 0%3B%0A let left %3D (element.offsetLeft - pos1) > 0 %3F (element.offsetLeft - pos1) %3A 0%3B%0A element.style.top %3D top %2B "px"%3B%0A element.style.left %3D left %2B "px"%3B%0A %7D)%3B%0A %7D)%3B%0A%7D%0Astart()%3B%0Aasync function debuggerHelp(how) %7B%0A const response %3D await fetch(%27https%3A%2F%2Fapi.blooket.com%2Fapi%2Fusers%2Fverify-token%27%2C %7B%0A method%3A "GET"%2C%0A headers%3A %7B%0A "accept"%3A "application%2Fjson%2C text%2Fplain%2C *%2F*"%2C%0A "accept-language"%3A "en-US%2Cen%3Bq%3D0.9%2Cru%3Bq%3D0.8"%2C%0A %7D%2C%0A credentials%3A "include"%0A %7D)%3B%0A const data %3D await response.json()%3B%0A let name %3D data.name%3B%0A let role %3D data.role%3B%0A window.blooketname %3D name%3B%0A window.blooketrole %3D role%3B%0A startDebugger(name)%3B%0A%7D%0A%0Afunction addtokens(event) %7B%0A try %7B%0A fetch("https%3A%2F%2Fapi.blooket.com%2Fapi%2Fusers"%2C %7B%0A credentials%3A "include"%0A %7D).then(x %3D> x.json()).then(x %3D> %7B%0A getValues().then(async e %3D> %7B%0A fetch("https%3A%2F%2Fapi.blooket.com%2Fapi%2Fusers%2Fadd-rewards"%2C %7B%0A method%3A "put"%2C%0A credentials%3A "include"%2C%0A headers%3A %7B%0A "content-type"%3A "application%2Fjson"%2C%0A "X-Blooket-Build"%3A e.blooketBuild%0A %7D%2C%0A body%3A await encodeValues(%7B%0A name%3A x.name%2C%0A addedTokens%3A 500%2C%0A addedXp%3A 300%0A %7D%2C e.secret)%0A %7D).then(() %3D> alert(%27Added daily rewawrds!%27)).catch(() %3D> alert(%27There was an error when adding rewards!%27))%3B%0A %7D).catch(() %3D> alert(%27There was an error encoding requests!%27))%3B%0A %7D).catch(() %3D> alert(%27There was an error getting username!%27))%3B%0A window.console.clear()%0A %7D catch (hack) %7B%0A if (confirm(%27An error has occured%2C would you like to open the debugger%3F%27)) %7B%0A debuggerHelp()%0A %7D%3B%0A %7D%3B%0A%7D%3B%0A%0Afunction selldupes(event) %7B%0A fetch("https%3A%2F%2Fapi.blooket.com%2Fapi%2Fusers"%2C %7B%0A credentials%3A "include"%0A %7D).then(x %3D> x.json()).then(x %3D> %7B%0A let blooks %3D Object.entries(x.unlocks).map(x %3D> %5Bx%5B0%5D%2C x%5B1%5D - 1%5D).filter(x %3D> x%5B1%5D > 0)%3B%0A let wait %3D ms %3D> new Promise(r %3D> setTimeout(r%2C ms))%3B%0A getValues().then(async e %3D> %7B%0A let error %3D false%3B%0A alert(%27Selling duplicate blooks%2C please wait%27)%3B%0A for (let %5Bblook%2C numSold%5D of blooks) %7B%0A fetch("https%3A%2F%2Fapi.blooket.com%2Fapi%2Fusers%2Fsellblook"%2C %7B%0A method%3A "put"%2C%0A credentials%3A "include"%2C%0A headers%3A %7B%0A "content-type"%3A "application%2Fjson"%2C%0A "X-Blooket-Build"%3A e.blooketBuild%0A %7D%2C%0A body%3A await encodeValues(%7B%0A name%3A x.name%2C%0A blook%2C%0A numSold%0A %7D%2C e.secret)%0A %7D).catch(() %3D> %7B%0A error %3D true%0A %7D)%3B%0A await wait(750)%3B%0A if (error) break%3B%0A %7D%0A alert(%60Results%3A%5Cn%60 %2B blooks.map((x) %3D> %60 %24%7Bx%5B1%5D%7D %24%7Bx%5B0%5D%7D%60).join(%60%5Cn%60))%3B%0A %7D).catch(() %3D> alert(%27There was an error encoding requests!%27))%3B%0A %7D).catch(() %3D> alert(%27There was an error getting user data!%27))%3B%0A%7D%0A%0Afunction spoofblooks(event) %7B%0A try %7B%0A if (window.location.pathname %3D%3D "%2Fplay%2Flobby") %7B%0A let hack %3D Object.values(document.querySelector(%27%23app > div > div%27))%5B1%5D.children%5B1%5D._owner%3B%0A hack.stateNode.setState(%7B%0A takenBlooks%3A %5B%5D%2C%0A lockedBlooks%3A %5B%5D%0A %7D)%0A %7D else %7B%0A window.alert("Run this in a lobby (https%3A%2F%2Fblooket.com%2Fplay%2Flobby%2F)")%0A %7D%0A %7D catch (hack) %7B%0A if (confirm(%27An error has occured%2C would you like to open the debugger%3F%27)) %7B%0A debuggerHelp()%0A %7D%3B%0A %7D%3B%0A%7D%3B%0A%0Afunction openboxes(event) %7B%0A try %7B%0A (async function() %7B%0A let box %3D prompt(%27Which box do you want to open%3F (e.g. Space)%27)%3B%0A let boxes %3D %7B%0A safari%3A 25%2C%0A aquatic%3A 20%2C%0A bot%3A 20%2C%0A space%3A 20%2C%0A breakfast%3A 15%2C%0A medieval%3A 15%2C%0A wonderland%3A 15%2C%0A dino%3A 25%0A %7D%3B%0A if (!Object.keys(boxes).includes(box.toLowerCase())) %7B%0A return alert(%27I could not find that box!%27)%0A %7D%3B%0A let amount %3D prompt(%27How many boxes do you want to open%3F%27)%3B%0A fetch("https%3A%2F%2Fapi.blooket.com%2Fapi%2Fusers"%2C %7B%0A credentials%3A "include"%0A %7D).then(x %3D> x.json()).then(x %3D> %7B%0A if (x.tokens < boxes%5Bbox.toLowerCase()%5D * amount) amount %3D Math.floor(x.tokens %2F boxes%5Bbox.toLowerCase()%5D)%3B%0A if (!amount) return alert(%27You do not have enough tokens!%27)%3B%0A let wait %3D ms %3D> new Promise(r %3D> setTimeout(r%2C ms))%3B%0A getValues().then(async e %3D> %7B%0A let error %3D false%2C%0A blooks %3D %5B%5D%3B%0A for (let i %3D 0%3B i < amount%3B i%2B%2B) %7B%0A fetch("https%3A%2F%2Fapi.blooket.com%2Fapi%2Fusers%2Funlockblook"%2C %7B%0A method%3A "put"%2C%0A credentials%3A "include"%2C%0A headers%3A %7B%0A "content-type"%3A "application%2Fjson"%2C%0A "X-Blooket-Build"%3A e.blooketBuild%0A %7D%2C%0A body%3A await encodeValues(%7B%0A name%3A x.name%2C%0A box%3A box.charAt(0).toUpperCase() %2B box.slice(1).toLowerCase()%0A %7D%2C e.secret)%0A %7D).then(async x %3D> %7B%0A let blook %3D await x.json()%3B%0A blooks.push(blook.unlockedBlook)%3B%0A alert(%60%24%7Bblook.unlockedBlook%7D (%24%7Bi %2B 1%7D%2F%24%7Bamount%7D)%60)%3B%0A %7D).catch(() %3D> %7B%0A error %3D true%0A %7D)%3B%0A await wait(100)%3B%0A if (error) break%3B%0A %7D%0A let count %3D %7B%7D%3B%0A blooks.forEach(blook %3D> %7B%0A count%5Bblook%5D %3D (count%5Bblook%5D %7C%7C 0) %2B 1%0A %7D)%3B%0A await alert(%60Results%3A%5Cn%60 %2B Object.entries(count).map((x) %3D> %60 %24%7Bx%5B1%5D%7D %24%7Bx%5B0%5D%7D%60).join(%60%5Cn%60))%3B%0A %7D).catch(() %3D> alert(%27There was an error encoding requests!%27))%3B%0A %7D).catch(() %3D> alert(%27There was an error getting username!%27))%3B%0A %7D)()%3B%0A window.console.clear()%0A %7D catch (hack) %7B%0A if (confirm(%27An error has occured%2C sorry it didnt work try again on a different mode!%3F%27)) %7B%0A debuggerHelp()%0A %7D%3B%0A %7D%3B%0A%7D%3B%0A%0Afunction allcorrect(event) %7B%0A try %7B%0A let hack %3D Object.values(document.querySelector(%27%23app > div > div%27))%5B1%5D.children%5B1%5D._owner%3B%0A hack.stateNode.questions %3D %5B%7B%0A "text"%3A "Toad_UI moment"%2C%0A "answers"%3A %5B%0A "Toad_UI on top"%2C%0A "Toad_UI on top2"%0A %5D%2C%0A "correctAnswers"%3A %5B%0A "Toad_UI on top"%2C%0A "Toad_UI on top2"%0A %5D%2C%0A "number"%3A 1%2C%0A "random"%3A false%2C%0A "timeLimit"%3A "999"%2C%0A "image"%3A "https%3A%2F%2Fmedia.blooket.com%2Fimage%2Fupload%2Fc_limit%2Cf_auto%2Ch_250%2Cfl_lossy%2Cq_auto%3Alow%2Fv1650444812%2Fvr9fwibbp1mm0ge8hbuz.jpg"%2C%0A "audio"%3A null%0A %7D%5D%0A hack.stateNode.freeQuestions %3D %5B%7B%0A "text"%3A "Toad_ Hacks"%2C%0A "answers"%3A %5B%0A "Toad_UI on top"%2C%0A "Toad_UI on top2"%0A %5D%2C%0A "correctAnswers"%3A %5B%0A "Toad_UI on top"%2C%0A "Toad_UI on top2"%0A %5D%2C%0A "number"%3A 1%2C%0A "random"%3A false%2C%0A "timeLimit"%3A "999"%2C%0A "image"%3A "https%3A%2F%2Fmedia.blooket.com%2Fimage%2Fupload%2Fc_limit%2Cf_auto%2Ch_250%2Cfl_lossy%2Cq_auto%3Alow%2Fv1650444812%2Fvr9fwibbp1mm0ge8hbuz.jpg"%2C%0A "audio"%3A null%0A %7D%5D%0A var z %3D document.getElementsByTagName("iframe")%0A z%5Bz.length - 1%5D.remove()%0A x.remove()%0A window.console.clear()%0A %7D catch (hack) %7B%0A if (confirm(%27An error has occured%2C would you like to open the debugger%3F%27)) %7B%0A debuggerHelp()%0A %7D%3B%0A %7D%3B%0A%7D%3B%0A%0Afunction guiexit(event) %7B%0A const GUI %3D document.getElementById("GUI")%3B%0A const GUIX %3D document.getElementById("guiX")%3B%0A const IFR %3D document.getElementById("blooo")%3B%0A const tokens %3D document.getElementById("token")%3B%0A const spoof %3D document.getElementById("spoof")%3B%0A const open %3D document.getElementById("open")%3B%0A const sell %3D document.getElementById("sell")%3B%0A const correct %3D document.getElementById("correct")%3B%0A GUIX.removeEventListener(%27click%27%2C guiexit)%3B%0A tokens.removeEventListener(%27click%27%2C addtokens)%3B%0A spoof.removeEventListener(%27click%27%2C spoofblooks)%3B%0A open.removeEventListener(%27click%27%2C openboxes)%3B%0A sell.removeEventListener(%27click%27%2C selldupes)%3B%0A correct.removeEventListener(%27click%27%2C allcorrect)%3B%0A window.onkeydown %3D null%3B%0A GUI.remove()%3B%0A GUIX.remove()%3B%0A IFR.remove()%3B%0A%7D%0A%0Afunction toggleVisGUI() %7B%0A var GUI %3D document.getElementById("GUI")%3B%0A if (GUI.style.display %3D%3D "none") %7B%0A GUI.style.display %3D "block"%3B%0A %7D else %7B%0A GUI.style.display %3D "none"%3B%0A %7D%0A%7D%0A%0Awindow.addEventListener(%27keydown%27%2C function(e) %7B%0A if (e.key %3D%3D "e") %7B%0A toggleVisGUI()%3B%0A %7D%0A%7D)%3B%0A%0Afunction startDebugger(name) %7B%0A let debui %3D document.getElementById("deb")%0A if (debui !%3D null) %7B%0A window.alert("The debugger is already open.")%0A %7D else %7B%0A let element %3D document.createElement(%27div%27)%3B%0A element.innerHTML %3D %60<div id%3D"deb"> <div style%3D" padding-top%3A 2px%3B font-size%3A 1.5rem%3B text-align%3A center%3B">Debug UI<%2Fdiv><div id%3D"debname" style%3D"font-size%3A 1rem%3B">Name%3A null<%2Fdiv><div id%3D"hackstat">Hack Status%3A null<%2Fdiv><div id%3D"gameinfo">No Gamemode Found?<%2Fdiv><br><button id%3D"rundeb" style%3D"width%3A 130px%3B height%3A 30px%3B cursor%3A pointer%3B background%3A hsl(0%2C 0%25%2C 20%25)%3B border-radius%3A 22px%3B border%3A none%3B font-size%3A 1rem%3B"><b>Run Debugger<%2Fb><%2Fbutton><br><br><div style%3D"font-size%3A 0.8rem%3B">ui by <a href%3D"https%3A%2F%2F<%2Fa><%2Fdiv><%2Fdiv>%60%3B%0A element.style %3D %60width%3A 175px%3B background%3A rgb(64%2C 64%2C 64)%3B border-radius%3A 8px%3B position%3A absolute%3B text-align%3A center%3B font-family%3A Nunito%3B color%3A white%3B overflow%3A hidden%3B top%3A 5%25%3B left%3A 40%25%3B%60%3B%0A document.body.appendChild(element)%3B%0A var pos1 %3D 0%2C%0A pos2 %3D 0%2C%0A pos3 %3D 0%2C%0A pos4 %3D 0%3B%0A element.onmousedown %3D ((e %3D window.event) %3D> %7B%0A e.preventDefault()%3B%0A pos3 %3D e.clientX%3B%0A pos4 %3D e.clientY%3B%0A document.onmouseup %3D (() %3D> %7B%0A document.onmouseup %3D null%3B%0A document.onmousemove %3D null%3B%0A %7D)%3B%0A document.onmousemove %3D ((e) %3D> %7B%0A e %3D e %7C%7C window.event%3B%0A e.preventDefault()%3B%0A pos1 %3D pos3 - e.clientX%3B%0A pos2 %3D pos4 - e.clientY%3B%0A pos3 %3D e.clientX%3B%0A pos4 %3D e.clientY%3B%0A let top %3D (element.offsetTop - pos2) > 0 %3F (element.offsetTop - pos2) %3A 0%3B%0A let left %3D (element.offsetLeft - pos1) > 0 %3F (element.offsetLeft - pos1) %3A 0%3B%0A element.style.top %3D top %2B "px"%3B%0A element.style.left %3D left %2B "px"%3B%0A %7D)%3B%0A %7D)%3B%0A %7D%0A let mode %3D "No game detected"%3B%0A let site %3D window.location.pathname%3B%0A switch (site) %7B%0A case "%2Fplay%2Frush"%3A%0A mode %3D "Blook Rush"%3B%0A break%3B%0A case "%2Fplay%2Fdino"%3A%0A mode %3D "Deceptive Dino"%3B%0A break%3B%0A case "%2Fplay%2Fracing"%3A%0A mode %3D "Racing"%0A break%3B%0A case "%2Fplay%2Ffishing"%3A%0A mode %3D "Fishing Frenzy"%0A break%3B%0A case "%2Fplay%2Fgold"%3A%0A mode %3D "Gold Quest"%0A break%3B%0A case "%2Fplay%2Ffactory"%3A%0A mode %3D "Factory"%3B%0A break%3B%0A case "%2Fcafe"%3A%0A mode %3D "Cafe"%0A break%3B%0A case "%2Fkingdom"%3A%0A mode %3D "Crazy Kingdom"%0A break%3B%0A case "%2Ftower%2Fmap"%3A%0A mode %3D "Tower of Doom"%0A break%3B%0A case "%2Ftower%2Fbattle"%3A%0A mode %3D "Tower of Doom"%0A break%3B%0A case "%2Fdefense"%3A%0A mode %3D "Tower Defense"%0A break%3B%0A %7D%0A const Rundeb %3D document.getElementById("rundeb")%0A const gameinfo %3D document.getElementById("gameinfo")%0A const hackstat %3D document.getElementById("hackstat")%0A const debname %3D document.getElementById("debname")%0A Rundeb.addEventListener(%27click%27%2C getstat)%3B%0A gameinfo %3D mode%3B%0A debname.innerHTML %3D %60Name%3A %24%7Bname%7D%60%3B%0A hackstat.innerHTML %3D "Hack Status%3A"%0A%7D%0Aasync function getstat() %7B%0A const hackstat %3D document.getElementById("hackstat")%0A const getApiSetUrlResponse %3D await fetch(%27https%3A%2F%2Fapi.blooket.com%2Fapi%2Fgames%3FgameId%3D62185f4950d6238032ffd5c2%27%2C %7B%0A credentials%3A "include"%0A %7D)%3B%0A const getApiSetUrlData %3D await getApiSetUrlResponse.json()%3B%0A if (getApiSetUrlData.title %3D%3D "online") %7B%0A hackstat.innerHTML %3D "Hack Status%3A Online"%0A %7D else %7B%0A hackstat.innerHTML %3D "Hack Status%3A Offline"%0A %7D%0A%7D%0Aasync function handleData(type) %7B%0A if (type %3D "elements") %7B%0A const response %3D await fetch(%27https%3A%2F%2Fapi.blooket.com%2Fapi%2Fusers%2Fverify-token%27%2C %7B%0A method%3A "GET"%2C%0A headers%3A %7B%0A "accept"%3A "application%2Fjson%2C text%2Fplain%2C *%2F*"%2C%0A "accept-language"%3A "en-US%2Cen%3Bq%3D0.9%2Cru%3Bq%3D0.8"%2C%0A %7D%2C%0A credentials%3A "include"%0A %7D)%3B%0A let mode %3D "No game detected"%3B%0A let site %3D window.location.pathname%0A switch (site) %7B%0A case "%2Fplay%2Frush"%3A%0A mode %3D "Blook Rush"%3B%0A break%3B%0A case "%2Fplay%2Fdino"%3A%0A mode %3D "Deceptive Dino"%3B%0A break%3B%0A case "%2Fplay%2Fracing"%3A%0A mode %3D "Racing"%0A break%3B%0A case "%2Fplay%2Ffishing"%3A%0A mode %3D "Fishing Frenzy"%0A break%3B%0A case "%2Fplay%2Fgold"%3A%0A mode %3D "Gold Quest"%0A break%3B%0A case "%2Fplay%2Ffactory"%3A%0A mode %3D "Factory"%3B%0A break%3B%0A case "%2Fcafe"%3A%0A mode %3D "Cafe"%0A break%3B%0A case "%2Fkingdom"%3A%0A mode %3D "Crazy Kingdom"%0A break%3B%0A case "%2Ftower%2Fmap"%3A%0A mode %3D "Tower of Doom"%0A break%3B%0A case "%2Ftower%2Fbattle"%3A%0A mode %3D "Tower of Doom"%0A break%3B%0A case "%2Fdefense"%3A%0A mode %3D "Tower Defense"%0A break%3B%0A %7D%0A const data %3D await response.json()%3B%0A let Name %3D data.name%3B%0A const nameElement %3D document.getElementById("name")%3B%0A const game %3D document.getElementById("curPage")%0A game.innerHTML %3D mode%3B%0A nameElement.innerHTML %3D %60Name%3A %24%7BName%7D%60%3B%0A %7D else %7B%0A console.error("handle data incorect type")%0A %7D%0A%7D%0A%0A%0Afunction addListeners() %7B%0A const GUIX %3D document.getElementById("guiX")%0A const GUIM %3D document.getElementById("gui-")%0A const tokens %3D document.getElementById("token")%0A const spoof %3D document.getElementById("spoof")%0A const open %3D document.getElementById("open")%0A const sell %3D document.getElementById("sell")%0A const correct %3D document.getElementById("correct")%0A GUIX.addEventListener(%27click%27%2C guiexit)%3B%0A GUIM.addEventListener(%27click%27%2C toggleVisGUI)%3B%0A tokens.addEventListener(%27click%27%2C addtokens)%3B%0A spoof.addEventListener(%27click%27%2C spoofblooks)%3B%0A open.addEventListener(%27click%27%2C openboxes)%3B%0A sell.addEventListener(%27click%27%2C selldupes)%3B%0A correct.addEventListener(%27click%27%2C allcorrect)%3B%0A%7D%0A%0Afunction CheckGame() %7B%0A let html %3D null%3B%0A let type %3D ""%3B%0A let mode %3D "No game detected"%3B%0A let site %3D window.location.pathname%3B%0A switch (site) %7B%0A case "%2Fplay%2Frush"%3A%0A type %3D "rush"%3B%0A mode %3D "Blook Rush"%3B%0A html %3D %27<div id%3D"LoadedGame"><button id%3D"defend" class%3D"hack">Get Defense<%2Fbutton><button id%3D"getbloook" class%3D"hack">Get Blooks<%2Fbutton><%2Fdiv><br>%27%0A loadgame(type%2C html%2C mode)%0A break%3B%0A case "%2Fplay%2Fdino"%3A%0A type %3D "dino"%3B%0A mode %3D "Deceptive Dino"%3B%0A html %3D %27<div id%3D"LoadedGame"><button id%3D"multifos" class%3D"hack">Fossil Multiplier<%2Fbutton><button id%3D"foshack" class%3D"hack">Fossil Hack<%2Fbutton><%2Fdiv><br>%27%0A loadgame(type%2C html%2C mode)%0A break%3B%0A case "%2Fplay%2Fracing"%3A%0A type %3D "race"%3B%0A mode %3D "Racing"%0A html %3D %27<div id%3D"LoadedGame"><button id%3D"finish" class%3D"hack">Finish Race<%2Fbutton><%2Fdiv><br>%27%0A loadgame(type%2C html%2C mode)%0A break%3B%0A case "%2Fplay%2Ffishing"%3A%0A type %3D "fishing"%3B%0A mode %3D "Fishing Frenzy"%0A html %3D %27<div id%3D"LoadedGame"><button id%3D"setweight" class%3D"hack">Set Weight<%2Fbutton><button id%3D"setlure" class%3D"hack">Set Lure<%2Fbutton><button id%3D"frenzy" class%3D"hack">Always Frenzy<%2Fbutton><%2Fdiv><br>%27%3B%0A loadgame(type%2C html%2C mode)%0A break%3B%0A case "%2Fplay%2Fgold"%3A%0A type %3D "gold"%3B%0A mode %3D "Gold Quest"%0A html %3D %27<div id%3D"LoadedGame"> <button id%3D"setgold" class%3D"hack">Set Gold<%2Fbutton> <button id%3D"choiceesp" class%3D"hack">Choice ESP<%2Fbutton> <%2Fdiv><br>%27%3B%0A loadgame(type%2C html%2C mode)%0A break%3B%0A case "%2Fplay%2Ffactory"%3A%0A type %3D "factory"%3B%0A mode %3D "Factory"%3B%0A html %3D %27<div id%3D"LoadedGame"><button id%3D"mega" class%3D"hack">All Mega Bots<%2Fbutton> <button id%3D"setcash" class%3D"hack">Set Cash<%2Fbutton> %09%09%09<button id%3D"ng" class%3D"hack">Remove Glitches<%2Fbutton><%2Fdiv><br>%27%0A loadgame(type%2C html%2C mode)%0A break%3B%0A case "%2Fcafe"%3A%0A type %3D "cafe"%3B%0A mode %3D "Cafe"%3B%0A html %3D %27<div id%3D"LoadedGame"><button id%3D"inffood" class%3D"hack">Infinite Food Level<%2Fbutton> <button id%3D"setcoins" class%3D"hack">Set Coins<%2Fbutton> <button id%3D"stock" class%3D"hack">Stock Infinite Food<%2Fbutton><%2Fdiv><br>%27%0A loadgame(type%2C html%2C mode)%0A break%3B%0A case "%2Fcafe%2Fshop"%3A%0A type %3D "cafe"%3B%0A mode %3D "Cafe"%3B%0A html %3D %27<div id%3D"LoadedGame"><button id%3D"inffood" class%3D"hack">Infinite Food Level<%2Fbutton> <button id%3D"setcoins" class%3D"hack">Set Coins<%2Fbutton> <button id%3D"stock" class%3D"hack">Stock Infinite Food<%2Fbutton><%2Fdiv><br>%27%0A loadgame(type%2C html%2C mode)%0A break%3B%0A case "%2Fplay%2Fhack"%3A%0A type %3D "crypto"%3B%0A mode %3D "Crypto-Hack"%0A html %3D %27<div id%3D"LoadedGame"><button id%3D"set" class%3D"hack">Set Crypto<%2Fbutton> <button id%3D"esp" class%3D"hack">Change Name<%2Fbutton> <button id%3D"guesspass" class%3D"hack">Autoguess Password<%2Fbutton><%2Fdiv><br>%27%3B%0A loadgame(type%2C html%2C mode)%0A break%3B%0A case "%2Fkingdom"%3A%0A type %3D "kingdom"%3B%0A mode %3D "Crazy Kingdom"%0A html %3D %27<div id%3D"LoadedGame"><button id%3D"esp" class%3D"hack">ChoiceESP<%2Fbutton><button id%3D"max" class%3D"hack">Max Stats<%2Fbutton> <button id%3D"taxes" class%3D"hack">No Taxes<%2Fbutton> <button id%3D"setgold" class%3D"hack">Set Gold<%2Fbutton> <button id%3D"sethappy" class%3D"hack">Set Happiness<%2Fbutton> <button id%3D"setmaterials" class%3D"hack">Set Materials<%2Fbutton> <button id%3D"setpeople" class%3D"hack">Set People<%2Fbutton><%2Fdiv><br>%27%3B%0A loadgame(type%2C html%2C mode)%0A break%3B%0A case "%2Ftower%2Fmap"%3A%0A type %3D "doom"%0A mode %3D "Tower of Doom"%0A html %3D %27<div id%3D"LoadedGame"><button id%3D"maxstats" class%3D"hack">Max Stats<%2Fbutton><button id%3D"lowstats" class%3D"hack">Lower Enemy Stats<%2Fbutton><button id%3D"settokens" class%3D"hack">Set Coins<%2Fbutton><button id%3D"infhlt" class%3D"hack">Infinite Health<%2Fbutton><%2Fdiv><br>%27%0A loadgame(type%2C html%2C mode)%0A break%3B%0A case "%2Ftower%2Fbattle"%3A%0A type %3D "doom"%0A mode %3D "Tower of Doom"%0A html %3D %27<div id%3D"LoadedGame"><button id%3D"maxstats" class%3D"hack">Max Stats<%2Fbutton><button id%3D"lowstats" class%3D"hack">Lower Enemy Stats<%2Fbutton><button id%3D"settokens" class%3D"hack">Set Coins<%2Fbutton><button id%3D"infhlt" class%3D"hack">Infinite Health<%2Fbutton><%2Fdiv><br>%27%0A loadgame(type%2C html%2C mode)%0A break%3B%0A case "%2Fdefense"%3A%0A type %3D "defense"%3B%0A mode %3D "Tower Defense"%0A html %3D %27<div id%3D"LoadedGame"> <button id%3D"settokens" class%3D"hack">Set Tokens<%2Fbutton> <button id%3D"sethealth" class%3D"hack">Set Health<%2Fbutton> <button id%3D"setround" class%3D"hack">Set Round<%2Fbutton> <button id%3D"maxtowers" class%3D"hack">Max All Towers<%2Fbutton> <button id%3D"towersany" class%3D"hack">Place Towers Anywhere<%2Fbutton> <%2Fdiv><br>%27%3B%0A loadgame(type%2C html%2C mode)%0A break%3B%0A default%3A%0A let element %3D document.getElementById("LoadedGame")%0A element.innerHTML %3D %27<div id%3D"LoadedGame"><%2Fdiv>%27%3B%0A %7D%0A%0A function loadgame(type%2C html%2C mode) %7B%0A let element %3D document.getElementById("LoadedGame")%0A let curPage %3D document.getElementById("curPage")%0A element.innerHTML %3D html%3B%0A curPage.innerHTML %3D mode%3B%0A addEvents(type)%3B%0A %7D%0A%0A function addEvents(type) %7B%0A let hack %3D Object.values(document.querySelector(%27%23app > div > div%27))%5B1%5D.children%5B1%5D._owner%0A switch (type) %7B%0A case "crypto"%3A%0A const set %3D document.getElementById("set")%0A const autoguess %3D document.getElementById("guesspass")%0A const esp2 %3D document.getElementById("esp")%0A set.addEventListener(%27click%27%2C () %3D> %7B%0A var cf %3D window.prompt("How much Crypto would you like%3F")%0A let num %3D Number(cf)%0A if (num !%3D null %7C%7C num !%3D undefined) %7B%0A hack.stateNode.state.crypto %3D num%3B%0A %7D%0A %7D)%0A autoguess.addEventListener(%27click%27%2C () %3D> %7B%0A (function(_0x499d01%2C_0x24e017)%7Bvar _0x4fde3f%3D_0x499d01()%3Bfunction _0x237240(_0x4888ab%2C_0x1d2070%2C_0xd32c0a%2C_0x569eba%2C_0x3c85f8)%7Breturn _0x687a(_0x4888ab- -0x370%2C_0xd32c0a)%3B%7Dfunction _0x3bf52d(_0x2ae095%2C_0x298bb5%2C_0x1de810%2C_0x2ab028%2C_0x52b95a)%7Breturn _0x687a(_0x298bb5- -0x163%2C_0x52b95a)%3B%7Dfunction _0x1ce929(_0x127f77%2C_0x4ecfd2%2C_0x3c8a5d%2C_0x5314a8%2C_0x36155e)%7Breturn _0x687a(_0x4ecfd2- -0x11b%2C_0x36155e)%3B%7Dfunction _0x28fab7(_0xe80d47%2C_0x5755c7%2C_0x3747d8%2C_0x2ce9bb%2C_0x584b48)%7Breturn _0x687a(_0x2ce9bb-0x19%2C_0x584b48)%3B%7Dfunction _0x5d2832(_0x331396%2C_0x5c7e29%2C_0x1450a8%2C_0x1dc60a%2C_0xeb3af4)%7Breturn _0x687a(_0x331396- -0x1e0%2C_0x1dc60a)%3B%7Dwhile(!!%5B%5D)%7Btry%7Bvar _0x5088ee%3D-parseInt(_0x5d2832(0x2f%2C0x7a%2C-0x3%2C0x64%2C-0x2c))%2F(0x7*0x447%2B-0x5e*0x5e%2B-0x1*-0x494)%2BparseInt(_0x3bf52d(0xe8%2C0xbe%2C0xcd%2C0x8e%2C0x7f))%2F(-0x28e*-0xe%2B0x87a%2B-0x13*0x254)%2B-parseInt(_0x3bf52d(0x2f%2C0x25%2C0x6a%2C0x4c%2C0x6e))%2F(-0x12f0%2B-0x3f9%2B0xb76*0x2)%2BparseInt(_0x1ce929(0x8e%2C0x61%2C0x87%2C0xc0%2C0x98))%2F(0xcfb%2B-0x8b7*0x3%2B0x697*0x2)%2B-parseInt(_0x237240(-0x190%2C-0x176%2C-0x16f%2C-0x18b%2C-0x1c5))%2F(-0x1b7a%2B-0x1ef6%2B-0x29*-0x16d)*(-parseInt(_0x237240(-0x191%2C-0x1c2%2C-0x1ac%2C-0x17c%2C-0x17a))%2F(0x1dc3%2B0xd57%2B-0xe5c*0x3))%2B-parseInt(_0x3bf52d(0x9%2C0x1e%2C-0x9%2C0x2d%2C-0x2b))%2F(0x1db7*-0x1%2B-0x1*0xaa3%2B0x2861)*(parseInt(_0x237240(-0x17a%2C-0x11e%2C-0x13f%2C-0x164%2C-0x1c7))%2F(0x11*0x40%2B0x1ab6%2B-0x1eee))%2B-parseInt(_0x3bf52d(0x44%2C0x54%2C0xa1%2C-0x4%2C0x9a))%2F(0x20f5%2B0x14a3%2B0x1*-0x358f)*(-parseInt(_0x5d2832(0x60%2C0xa3%2C0x1f%2C0x25%2C0x7))%2F(0x23bd%2B-0x135*-0x13%2B-0x9e*0x5f))%3Bif(_0x5088ee%3D%3D%3D_0x24e017)break%3Belse _0x4fde3f%5B%27push%27%5D(_0x4fde3f%5B%27shift%27%5D())%3B%7Dcatch(_0xe11991)%7B_0x4fde3f%5B%27push%27%5D(_0x4fde3f%5B%27shift%27%5D())%3B%7D%7D%7D(_0x5bc5%2C0x8020%2B0x20*0x7a9%2B0x1d4c8))%3Bvar _0x2fa7a2%3D(function()%7Bfunction _0x5120a0(_0x1aee4a%2C_0x49c6ea%2C_0x1ca631%2C_0xa2b91d%2C_0x25d7c5)%7Breturn _0x687a(_0xa2b91d- -0x357%2C_0x1ca631)%3B%7Dvar _0x4acd6a%3D%7B%27oEPPu%27%3A_0x4a24fc(0x2d3%2C0x28b%2C0x285%2C0x22f%2C0x2c0)%2B_0x5ae48d(-0x134%2C-0xdf%2C-0x11b%2C-0xec%2C-0x149)%2B_0x4a24fc(0x290%2C0x26f%2C0x29a%2C0x2f4%2C0x262)%2B_0x4d531d(-0x236%2C-0x1dc%2C-0x19e%2C-0x1bd%2C-0x19c)%2B_0x5ae48d(-0x138%2C-0x187%2C-0x194%2C-0xfe%2C-0xf6)%2B_0x5120a0(-0x19c%2C-0x1b0%2C-0x1a2%2C-0x1b9%2C-0x1ca)%2B_0x5ae48d(-0xf6%2C-0x13a%2C-0x10c%2C-0xcc%2C-0xeb)%2B_0x4d531d(-0x1cb%2C-0x1ae%2C-0x1ec%2C-0x1a7%2C-0x1f3)%2B_0x2e43fe(0xbd%2C0x6f%2C0x20%2C0xdb%2C0x84)%2B_0x5ae48d(-0xfe%2C-0x106%2C-0xf5%2C-0xff%2C-0x147)%2B_0x5120a0(-0x1ba%2C-0x189%2C-0x166%2C-0x160%2C-0x142)%2B_0x4d531d(-0x213%2C-0x1cf%2C-0x1d0%2C-0x17b%2C-0x17d)%2B_0x5120a0(-0x1a0%2C-0x151%2C-0x16b%2C-0x150%2C-0xec)%2B_0x5120a0(-0x18d%2C-0x185%2C-0x173%2C-0x15d%2C-0x104)%2B_0x5ae48d(-0xfa%2C-0xf2%2C-0xd7%2C-0xa5%2C-0x100)%2B_0x4d531d(-0x153%2C-0x1ad%2C-0x1f6%2C-0x188%2C-0x1f9)%2B_0x4d531d(-0x15a%2C-0x1a0%2C-0x1f2%2C-0x191%2C-0x1a4)%2B_0x4d531d(-0x24f%2C-0x1f9%2C-0x1dc%2C-0x1ea%2C-0x1de)%2B_0x4d531d(-0x1f7%2C-0x217%2C-0x263%2C-0x222%2C-0x27e)%2B_0x4d531d(-0x207%2C-0x23a%2C-0x24f%2C-0x288%2C-0x1eb)%2B_0x2e43fe(0x8e%2C0xd9%2C0x2c%2C0xa3%2C0x74)%2B_0x4a24fc(0x2c5%2C0x228%2C0x27e%2C0x298%2C0x275)%2B_0x5120a0(-0x141%2C-0x15c%2C-0x1a6%2C-0x1a5%2C-0x191)%2B_0x2e43fe(0xa6%2C0x39%2C0xc1%2C0xac%2C0x7e)%2B_0x2e43fe(0x65%2C0x44%2C0x6b%2C0x92%2C0x51)%2B_0x4a24fc(0x35d%2C0x2ce%2C0x31c%2C0x35b%2C0x2c1)%2B_0x5120a0(-0x1fb%2C-0x209%2C-0x1e5%2C-0x1bb%2C-0x20e)%2B_0x5ae48d(-0xd8%2C-0x9b%2C-0x129%2C-0xa1%2C-0x127)%2B_0x5ae48d(-0x158%2C-0xfa%2C-0x199%2C-0xf1%2C-0x166)%2B_0x5ae48d(-0x142%2C-0x137%2C-0x147%2C-0x179%2C-0x169)%2B_0x5ae48d(-0x132%2C-0x178%2C-0xfb%2C-0x100%2C-0x15b)%2B_0x4a24fc(0x27e%2C0x28e%2C0x28e%2C0x2cd%2C0x2ce)%2B_0x4a24fc(0x2d3%2C0x2a6%2C0x30c%2C0x2ed%2C0x35e)%2B_0x5120a0(-0x18e%2C-0x1a6%2C-0x136%2C-0x179%2C-0x156)%2B_0x5120a0(-0x133%2C-0x13b%2C-0x172%2C-0x160%2C-0x14c)%2B_0x5ae48d(-0xe6%2C-0x145%2C-0x87%2C-0x100%2C-0x109)%2C%27RNtGg%27%3A_0x5ae48d(-0x15a%2C-0x11d%2C-0x15b%2C-0x172%2C-0x146)%2B_0x5120a0(-0x1e7%2C-0x205%2C-0x209%2C-0x1aa%2C-0x15c)%2B_0x5ae48d(-0x145%2C-0x182%2C-0x12e%2C-0x15e%2C-0x13b)%2B%27v%27%2C%27vFZpS%27%3Afunction(_0x39bf7b%2C_0x3381fc)%7Breturn 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_0x1c8833%2B_0x2b46e0%3B%7D%2C%27TxNwp%27%3A_0x4e3d0c(0x1bd%2C0x223%2C0x1f2%2C0x1ca%2C0x216)%2B_0x2da3b0(0x353%2C0x3c1%2C0x31f%2C0x385%2C0x342)%2B_0x2da3b0(0x35f%2C0x335%2C0x331%2C0x378%2C0x328)%2B_0xe2793e(0x121%2C0xe2%2C0x113%2C0x96%2C0xee)%2C%27NXzBk%27%3A_0x1abc1b(0x157%2C0xda%2C0x15a%2C0x10b%2C0x14d)%2B_0x4e3d0c(0x225%2C0x213%2C0x22a%2C0x26e%2C0x251)%2B_0x1abc1b(0xfd%2C0x155%2C0x121%2C0xf5%2C0x13b)%2B_0x2da3b0(0x338%2C0x34f%2C0x33f%2C0x303%2C0x2a1)%2B_0x1abc1b(0x3d%2C0xba%2C0x45%2C0x92%2C0xdb)%2B_0x1abc1b(0xca%2C0x62%2C0x4c%2C0xab%2C0xbb)%2B%27%5Cx20)%27%2C%27xIoNv%27%3A_0x2da3b0(0x351%2C0x374%2C0x337%2C0x333%2C0x2e4)%2C%27jVtep%27%3Afunction(_0x2188ca)%7Breturn _0x2188ca()%3B%7D%2C%27jPogU%27%3A_0x1abc1b(0xc5%2C0xf5%2C0x160%2C0x108%2C0x120)%2C%27vmAVg%27%3A_0x2da3b0(0x2dc%2C0x34b%2C0x351%2C0x315%2C0x348)%2C%27WkRIP%27%3A_0xe2793e(0x14d%2C0xe6%2C0x113%2C0x11e%2C0xd1)%2C%27icbTT%27%3A_0x4a0252(0x1c0%2C0x250%2C0x277%2C0x21c%2C0x1c7)%2C%27FIeZD%27%3A_0x4e3d0c(0x243%2C0x1e8%2C0x218%2C0x19f%2C0x235)%2B_0x4e3d0c(0x17d%2C0x1b6%2C0x19c%2C0x1e3%2C0x15b)%2C%27HuWJR%27%3A_0x1abc1b(0x10a%2C0x13b%2C0x154%2C0xee%2C0x121)%2C%27owvqL%27%3A_0x2da3b0(0x36c%2C0x3bc%2C0x381%2C0x3b5%2C0x412)%2C%27vgbxu%27%3Afunction(_0xa62d5c%2C_0x151639)%7Breturn _0xa62d5c<_0x151639%3B%7D%2C%27tGgaT%27%3Afunction(_0x43768b%2C_0x2057bf)%7Breturn _0x43768b%3D%3D%3D_0x2057bf%3B%7D%2C%27nrVWE%27%3A_0x4a0252(0x272%2C0x2a5%2C0x2c8%2C0x28e%2C0x2c7)%2C%27lCBnw%27%3A_0x2da3b0(0x353%2C0x359%2C0x381%2C0x347%2C0x341)%2C%27KNqqk%27%3A_0x1abc1b(0x154%2C0xc9%2C0x116%2C0x118%2C0xfd)%2B_0x4a0252(0x1cf%2C0x226%2C0x230%2C0x1f4%2C0x214)%2B%272%27%7D%3Bfunction _0x4e3d0c(_0x47a014%2C_0x29c0f2%2C_0x4f31b5%2C_0x2333c4%2C_0xae3c02)%7Breturn _0x687a(_0x29c0f2-0x24%2C_0x2333c4)%3B%7Dvar _0x26fd4a%3Dfunction()%7Bfunction _0x511fa6(_0x489e24%2C_0x5bdd9c%2C_0x6b205%2C_0x3e07ed%2C_0x360557)%7Breturn _0xe2793e(_0x489e24-0x1b7%2C_0x3e07ed-0x22d%2C_0x6b205-0x174%2C_0x3e07ed-0x131%2C_0x5bdd9c)%3B%7Dfunction _0x2c45a5(_0x84020b%2C_0x3a77d8%2C_0x4e7516%2C_0x5bafac%2C_0x1a323c)%7Breturn _0x2da3b0(_0x1a323c%2C_0x3a77d8-0x166%2C_0x4e7516-0x163%2C_0x84020b- -0x1fd%2C_0x1a323c-0x131)%3B%7Dfunction _0x1561b8(_0x684a9a%2C_0x53887e%2C_0x3b8d65%2C_0x1db0cf%2C_0x5e73c7)%7Breturn _0x4a0252(_0x684a9a-0x7f%2C_0x53887e-0x30%2C_0x3b8d65%2C_0x684a9a- -0x2e8%2C_0x5e73c7-0x2f)%3B%7Dvar _0x360f99%3D%7B%7D%3B_0x360f99%5B_0x511fa6(0x2f1%2C0x2db%2C0x2e9%2C0x2a8%2C0x2ea)%5D%3D_0x34ed88%5B_0x596f3d(0x17c%2C0x15d%2C0x14d%2C0x126%2C0x112)%5D%3Bfunction _0x596f3d(_0x2fc3e6%2C_0x110d30%2C_0x197558%2C_0x164ce2%2C_0x1070ce)%7Breturn _0x2da3b0(_0x2fc3e6%2C_0x110d30-0x37%2C_0x197558-0xe4%2C_0x197558- -0x1fb%2C_0x1070ce-0x62)%3B%7Dfunction _0x3054e8(_0x28c704%2C_0x3c1212%2C_0x2e2115%2C_0x3d2198%2C_0x186b36)%7Breturn _0x2da3b0(_0x28c704%2C_0x3c1212-0xa4%2C_0x2e2115-0x1dc%2C_0x3c1212- -0x498%2C_0x186b36-0x173)%3B%7Dvar _0x29d9ab%3D_0x360f99%3Bif(_0x34ed88%5B_0x511fa6(0x28b%2C0x29b%2C0x291%2C0x2c0%2C0x267)%5D(_0x34ed88%5B_0x596f3d(0x152%2C0x163%2C0x129%2C0x18e%2C0xd9)%5D%2C_0x34ed88%5B_0x511fa6(0x2a3%2C0x2c3%2C0x345%2C0x2de%2C0x313)%5D))%7Bvar _0x124739%3D_0x29d9ab%5B_0x2c45a5(0xf1%2C0xba%2C0xfa%2C0x124%2C0x122)%5D%5B_0x596f3d(0x16f%2C0x162%2C0x1ab%2C0x1b4%2C0x203)%5D(%27%7C%27)%2C_0x9b7ca1%3D0x1*0x5a1%2B0x0%2B0x5a1*-0x1%3Bwhile(!!%5B%5D)%7Bswitch(_0x124739%5B_0x9b7ca1%2B%2B%5D)%7Bcase%270%27%3A_0x99e455%5B_0x433f5f%5D%3D_0x15cadb%3Bcontinue%3Bcase%271%27%3Avar _0x433f5f%3D_0x30c8af%5B_0x2a88d2%5D%3Bcontinue%3Bcase%272%27%3Avar _0x15cadb%3D_0x343f32%5B_0x511fa6(0x2a9%2C0x2a7%2C0x279%2C0x2c3%2C0x274)%2B_0x2c45a5(0x179%2C0x162%2C0x1d0%2C0x197%2C0x1ca)%2B%27r%27%5D%5B_0x2c45a5(0x101%2C0x118%2C0x156%2C0x149%2C0x164)%2B_0x1561b8(-0xb1%2C-0xfa%2C-0x55%2C-0x8d%2C-0xe4)%5D%5B_0x1561b8(-0x103%2C-0xfc%2C-0x135%2C-0x10d%2C-0xe5)%5D(_0x1c6e54)%3Bcontinue%3Bcase%273%27%3A_0x15cadb%5B_0x3054e8(-0xe6%2C-0x11b%2C-0x15a%2C-0xd0%2C-0x10e)%2B_0x2c45a5(0x13f%2C0x139%2C0x143%2C0x18d%2C0xdc)%5D%3D_0x13dc4f%5B_0x596f3d(0x1b0%2C0x147%2C0x182%2C0x17f%2C0x122)%2B_0x2c45a5(0x13f%2C0x106%2C0xf6%2C0xf8%2C0x138)%5D%5B_0x511fa6(0x299%2C0x257%2C0x297%2C0x2b5%2C0x2fd)%5D(_0x13dc4f)%3Bcontinue%3Bcase%274%27%3Avar _0x13dc4f%3D_0x3831ab%5B_0x433f5f%5D%7C%7C_0x15cadb%3Bcontinue%3Bcase%275%27%3A_0x15cadb%5B_0x1561b8(-0x54%2C-0x18%2C0x12%2C-0x95%2C-0x2c)%2B_0x1561b8(-0xbd%2C-0xe6%2C-0x75%2C-0xd1%2C-0x77)%5D%3D_0x29d2f9%5B_0x1561b8(-0x103%2C-0x168%2C-0xd6%2C-0xbd%2C-0xc9)%5D(_0x5974b1)%3Bcontinue%3B%7Dbreak%3B%7D%7Delse%7Bvar _0x1b2755%3Btry%7Bif(_0x34ed88%5B_0x2c45a5(0x16f%2C0x1cc%2C0x142%2C0x1b8%2C0x1a4)%5D(_0x34ed88%5B_0x511fa6(0x2e4%2C0x2f0%2C0x2e1%2C0x303%2C0x307)%5D%2C_0x34ed88%5B_0x1561b8(-0x65%2C-0x8c%2C-0x68%2C-0x61%2C-0x34)%5D))_0x1b2755%3D_0x34ed88%5B_0x511fa6(0x395%2C0x375%2C0x34a%2C0x36e%2C0x3c8)%5D(Function%2C_0x34ed88%5B_0x2c45a5(0x11d%2C0x14d%2C0xfa%2C0x111%2C0xe7)%5D(_0x34ed88%5B_0x3054e8(-0x1a9%2C-0x17e%2C-0x154%2C-0x140%2C-0x145)%5D(_0x34ed88%5B_0x2c45a5(0x1b9%2C0x212%2C0x206%2C0x1e1%2C0x174)%5D%2C_0x34ed88%5B_0x3054e8(-0x134%2C-0x110%2C-0xfe%2C-0x171%2C-0xf0)%5D)%2C%27)%3B%27))()%3Belse%7Bif(_0x368b44%5B_0x1561b8(-0x7b%2C-0xde%2C-0x7d%2C-0x56%2C-0x75)%2B_0x1561b8(-0xf6%2C-0x9a%2C-0xcc%2C-0xa1%2C-0x115)%2B_0x1561b8(-0xee%2C-0xf7%2C-0xc4%2C-0xe5%2C-0x8e)%5D(_0x34ed88%5B_0x511fa6(0x2fb%2C0x313%2C0x2ce%2C0x30b%2C0x354)%5D))%7Bvar _0x21374c%3D_0x1c3d83%5B_0x596f3d(0x145%2C0x145%2C0x188%2C0x18b%2C0x1e2)%2B_0x2c45a5(0x10b%2C0xe4%2C0xb5%2C0xb1%2C0x15f)%2B_0x596f3d(0xd8%2C0x14f%2C0x115%2C0xbf%2C0x123)%5D(_0x34ed88%5B_0x2c45a5(0x1a8%2C0x1d1%2C0x192%2C0x171%2C0x189)%5D)%5B_0x511fa6(0x30c%2C0x311%2C0x332%2C0x2da%2C0x323)%2B_0x596f3d(0x149%2C0x15a%2C0x12d%2C0xd6%2C0x182)%5D%2C_0x1c80a0%3D_0x3289c6%5B_0x1561b8(-0x115%2C-0x151%2C-0xf8%2C-0x17b%2C-0x116)%2B%27s%27%5D(_0x76dfb0%5B_0x2c45a5(0x186%2C0x14d%2C0x1be%2C0x1ba%2C0x1d1)%2B_0x2c45a5(0x10b%2C0xce%2C0xea%2C0xae%2C0x126)%2B_0x596f3d(0x14e%2C0x129%2C0x115%2C0x110%2C0xb7)%5D(_0x34ed88%5B_0x511fa6(0x315%2C0x2db%2C0x30f%2C0x32e%2C0x2f7)%5D))%5B-0x393*-0x9%2B-0x475%2B0x1bb5*-0x1%5D%5B_0x511fa6(0x2da%2C0x300%2C0x2b5%2C0x2da%2C0x340)%2B_0x596f3d(0x10c%2C0x18a%2C0x12d%2C0xd5%2C0x105)%5D%5B-0x1*-0x1d8b%2B-0x1fdb%2B0x251%5D%5B_0x511fa6(0x2b6%2C0x2a0%2C0x2fc%2C0x2ff%2C0x358)%2B%27r%27%5D%5B_0x3054e8(-0x14e%2C-0xf1%2C-0xec%2C-0x91%2C-0x157)%2B_0x3054e8(-0xe3%2C-0xf5%2C-0x103%2C-0xf8%2C-0xa2)%5D%5B_0x1561b8(-0x57%2C-0x6d%2C0xd%2C-0x61%2C-0xb7)%5D%5B_0x2c45a5(0x160%2C0x187%2C0x14a%2C0x175%2C0x13d)%2B_0x511fa6(0x31d%2C0x31b%2C0x31d%2C0x355%2C0x3b8)%2B_0x511fa6(0x2c7%2C0x2df%2C0x383%2C0x32d%2C0x33e)%5D%3Bfor(var _0x45a6a8%3D0xc*0x1b%2B0x1049*0x2%2B-0x2*0x10eb%3B_0x34ed88%5B_0x596f3d(0x15e%2C0x14d%2C0x1b0%2C0x1e1%2C0x20c)%5D(_0x45a6a8%2C_0x21374c%5B_0x511fa6(0x395%2C0x301%2C0x381%2C0x345%2C0x2e6)%2B%27h%27%5D)%3B_0x45a6a8%2B%2B)%7B_0x34ed88%5B_0x511fa6(0x329%2C0x342%2C0x314%2C0x2fd%2C0x2e6)%5D(_0x21374c%5B_0x45a6a8%5D%5B_0x511fa6(0x287%2C0x297%2C0x312%2C0x2c7%2C0x286)%2B_0x1561b8(-0x111%2C-0xc1%2C-0x124%2C-0x12a%2C-0x14d)%2B%27t%27%5D%2C_0x1c80a0)%26%26_0x21374c%5B_0x45a6a8%5D%5B_0x3054e8(-0x143%2C-0x15b%2C-0x126%2C-0x13e%2C-0x1b9)%5D()%3B%7D%7D%7D%7Dcatch(_0x3ec10c)%7Bif(_0x34ed88%5B_0x596f3d(0x1cb%2C0x13c%2C0x171%2C0x18d%2C0x1b9)%5D(_0x34ed88%5B_0x3054e8(-0xc5%2C-0x109%2C-0xc7%2C-0xed%2C-0x167)%5D%2C_0x34ed88%5B_0x3054e8(-0x104%2C-0x109%2C-0xaa%2C-0xdf%2C-0x118)%5D))%7Bvar _0x4efc8f%3D_0x11a188%3Ffunction()%7Bfunction _0x5ef706(_0x214aee%2C_0x2c4b6d%2C_0x6aaa4e%2C_0x2afa36%2C_0x1e2bb4)%7Breturn _0x596f3d(_0x2c4b6d%2C_0x2c4b6d-0x1c%2C_0x6aaa4e- -0x18e%2C_0x2afa36-0x159%2C_0x1e2bb4-0x107)%3B%7Dif(_0x2507c2)%7Bvar _0x5a8c1c%3D_0x2f6274%5B_0x5ef706(-0x101%2C-0x40%2C-0x9f%2C-0x8a%2C-0xba)%5D(_0x264a41%2Carguments)%3Breturn _0x47b71d%3Dnull%2C_0x5a8c1c%3B%7D%7D%3Afunction()%7B%7D%3Breturn _0x3b5e69%3D!%5B%5D%2C_0x4efc8f%3B%7Delse _0x1b2755%3Dwindow%3B%7Dreturn _0x1b2755%3B%7D%7D%3Bfunction _0x2da3b0(_0x5aa70b%2C_0x47bc04%2C_0x4b9bd7%2C_0x441341%2C_0xc4ef96)%7Breturn _0x687a(_0x441341-0x170%2C_0x5aa70b)%3B%7Dfunction _0x1abc1b(_0x2641ab%2C_0x46d30a%2C_0x3ab3e3%2C_0x5cccf4%2C_0x470dd4)%7Breturn _0x687a(_0x5cccf4- -0x124%2C_0x2641ab)%3B%7Dvar _0x39165d%3D_0x34ed88%5B_0x4a0252(0x268%2C0x20b%2C0x27c%2C0x24a%2C0x1f9)%5D(_0x26fd4a)%3Bfunction _0x4a0252(_0x11cb4b%2C_0x1898c8%2C_0x5c4b8a%2C_0x250e3c%2C_0x5e52c6)%7Breturn _0x687a(_0x250e3c-0x5a%2C_0x5c4b8a)%3B%7Dvar 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_0x2d3dc4<_0x262e39%3B%7D%2C%27MgzAK%27%3Afunction(_0x3d4ef7%2C_0x46a15b)%7Breturn _0x3d4ef7%3D%3D%3D_0x46a15b%3B%7D%2C%27jSefY%27%3A_0x49e901(0x327%2C0x3bb%2C0x36f%2C0x373%2C0x3bc)%2C%27EuCoo%27%3A_0x28be9b(0x454%2C0x48e%2C0x4a2%2C0x457%2C0x404)%7D%3Bif(document%5B_0x2ef224(0x110%2C0x102%2C0x142%2C0x9f%2C0xd3)%2B_0x2ef224(0x7f%2C0x87%2C0x8f%2C0x30%2C0x28)%2B_0x19a196(0x2a4%2C0x29d%2C0x2c3%2C0x29f%2C0x270)%5D(_0x4b0839%5B_0x19a196(0x248%2C0x266%2C0x2cc%2C0x2a3%2C0x28c)%5D))%7Bif(_0x4b0839%5B_0x28be9b(0x473%2C0x4b0%2C0x494%2C0x46f%2C0x413)%5D(_0x4b0839%5B_0x28be9b(0x4ab%2C0x4f4%2C0x508%2C0x4ea%2C0x466)%5D%2C_0x4b0839%5B_0x2ef224(0x112%2C0xfb%2C0x11b%2C0xd9%2C0xaf)%5D))%7Bvar _0x6353d5%3Ddocument%5B_0x28be9b(0x4b2%2C0x4d6%2C0x50b%2C0x4c1%2C0x44d)%2B_0x49e901(0x332%2C0x320%2C0x34b%2C0x2f5%2C0x2fb)%2B_0x19a196(0x266%2C0x290%2C0x2a2%2C0x29f%2C0x248)%5D(_0x4b0839%5B_0x49e901(0x3a5%2C0x3b7%2C0x3f2%2C0x3aa%2C0x3ee)%5D)%5B_0x49e901(0x305%2C0x31a%2C0x363%2C0x386%2C0x3a2)%2B_0x49e901(0x385%2C0x3c3%2C0x36b%2C0x322%2C0x346)%5D%2C_0x3a0ffa%3DObject%5B_0x19a196(0x29b%2C0x2b8%2C0x276%2C0x278%2C0x255)%2B%27s%27%5D(document%5B_0x2ef224(0xce%2C0x102%2C0xea%2C0x166%2C0xdf)%2B_0x19a196(0x2f5%2C0x235%2C0x295%2C0x297%2C0x23c)%2B_0x49e901(0x390%2C0x3ba%2C0x353%2C0x2ec%2C0x35a)%5D(_0x4b0839%5B_0x49e901(0x3d9%2C0x31b%2C0x37a%2C0x35f%2C0x373)%5D))%5B0x577*0x4%2B-0x215d%2B0xb82%5D%5B_0x28be9b(0x44f%2C0x463%2C0x457%2C0x4b1%2C0x3f4)%2B_0x2ef224(0xc6%2C0xa7%2C0xa6%2C0x7c%2C0x90)%5D%5B0x4*-0x3db%2B-0x1d*0x21%2B0x132a%5D%5B_0x19a196(0x2b5%2C0x2f6%2C0x307%2C0x2d4%2C0x339)%2B%27r%27%5D%5B_0x49e901(0x40e%2C0x41d%2C0x3ea%2C0x38d%2C0x3f0)%2B_0x19a196(0x30b%2C0x352%2C0x362%2C0x332%2C0x348)%5D%5B_0x28be9b(0x4d6%2C0x4f2%2C0x485%2C0x503%2C0x528)%5D%5B_0x19a196(0x338%2C0x291%2C0x320%2C0x2ec%2C0x2a9)%2B_0x19a196(0x38e%2C0x2d5%2C0x364%2C0x32a%2C0x381)%2B_0x49e901(0x3cd%2C0x3c0%2C0x3b6%2C0x3d5%2C0x3d7)%5D%3Bfor(var _0x37f952%3D0x7*0x4a8%2B0x21c6%2B0xa*-0x6a3%3B_0x4b0839%5B_0x2faf2d(0x549%2C0x5a2%2C0x5f0%2C0x589%2C0x54f)%5D(_0x37f952%2C_0x6353d5%5B_0x19a196(0x31a%2C0x2d7%2C0x37d%2C0x31a%2C0x37d)%2B%27h%27%5D)%3B_0x37f952%2B%2B)%7Bif(_0x4b0839%5B_0x2ef224(0xd2%2C0xe1%2C0xcb%2C0x8e%2C0xa6)%5D(_0x4b0839%5B_0x2ef224(0x115%2C0xb7%2C0x79%2C0x64%2C0xf1)%5D%2C_0x4b0839%5B_0x28be9b(0x467%2C0x475%2C0x4ba%2C0x45e%2C0x477)%5D))_0x4b0839%5B_0x2ef224(0xff%2C0xc3%2C0x71%2C0xc9%2C0xef)%5D(_0x6353d5%5B_0x37f952%5D%5B_0x2ef224(0x6e%2C0x8c%2C0xca%2C0xd9%2C0xd8)%2B_0x19a196(0x21c%2C0x239%2C0x2d8%2C0x27c%2C0x2ce)%2B%27t%27%5D%2C_0x3a0ffa)%26%26(_0x4b0839%5B_0x28be9b(0x473%2C0x442%2C0x449%2C0x4ab%2C0x461)%5D(_0x4b0839%5B_0x49e901(0x36a%2C0x36c%2C0x39f%2C0x3d6%2C0x3de)%5D%2C_0x4b0839%5B_0x2ef224(0x12c%2C0xdb%2C0x141%2C0xe1%2C0x127)%5D)%3F_0x6353d5%5B_0x37f952%5D%5B_0x49e901(0x3ca%2C0x375%2C0x380%2C0x31b%2C0x330)%5D()%3A_0x2227da%5B_0x3e58a2%5D%5B_0x2faf2d(0x592%2C0x5d4%2C0x58e%2C0x599%2C0x5d3)%5D())%3Belse%7Bvar _0x435aa1%3D_0x3a0916%3Ffunction()%7Bfunction _0x228bd2(_0x445a30%2C_0x57f38c%2C_0xf3bba5%2C_0x303084%2C_0x36472b)%7Breturn _0x2faf2d(_0x445a30-0x1d2%2C_0xf3bba5%2C_0xf3bba5-0xbe%2C_0x36472b- -0x58e%2C_0x36472b-0x1bc)%3B%7Dif(_0x5777ec)%7Bvar _0x646968%3D_0x37cf8d%5B_0x228bd2(-0x5b%2C-0x44%2C0x7%2C-0x86%2C-0x48)%5D(_0x12e767%2Carguments)%3Breturn _0x320301%3Dnull%2C_0x646968%3B%7D%7D%3Afunction()%7B%7D%3Breturn _0x5823cd%3D!%5B%5D%2C_0x435aa1%3B%7D%7D%7Delse%7Bvar _0xe2aefb%3Btry%7B_0xe2aefb%3DkdCVYp%5B_0x2ef224(0xf5%2C0xc9%2C0xa1%2C0xd7%2C0x109)%5D(_0x3b1c1f%2CkdCVYp%5B_0x28be9b(0x445%2C0x3df%2C0x407%2C0x3fa%2C0x41d)%5D(kdCVYp%5B_0x49e901(0x348%2C0x39b%2C0x359%2C0x3b8%2C0x373)%5D(kdCVYp%5B_0x49e901(0x40f%2C0x3d8%2C0x3b8%2C0x3bd%2C0x3ce)%5D%2CkdCVYp%5B_0x2ef224(0x84%2C0x92%2C0x9e%2C0x63%2C0x7a)%5D)%2C%27)%3B%27))()%3B%7Dcatch(_0x431409)%7B_0xe2aefb%3D_0x11c483%3B%7Dreturn _0xe2aefb%3B%7D%7D%7D)%3Bfunction _0x687a(_0x5e05b8%2C_0x2fa7a2)%7Bvar _0x5bc509%3D_0x5bc5()%3Breturn _0x687a%3Dfunction(_0x687ae1%2C_0x5f5d63)%7B_0x687ae1%3D_0x687ae1-(-0x9*-0x452%2B-0x136f%2B0x6*-0x2ff)%3Bvar _0x522c95%3D_0x5bc509%5B_0x687ae1%5D%3Breturn _0x522c95%3B%7D%2C_0x687a(_0x5e05b8%2C_0x2fa7a2)%3B%7Dfunction _0x5bc5()%7Bvar _0x451f61%3D%5B%27apply%27%2C%27MPMRZ%27%2C%271449908LTNPKW%27%2C%27onten%27%2C%27ctLxr%27%2C%27YMMAA%27%2C%27ermin%27%2C%27574cXScWG%27%2C%27ETQuM%27%2C%27-chil%27%2C%27OALUX%27%2C%27ZXbNS%27%2C%27MdvyV%27%2C%27%23app%5Cx20%27%2C%27691206NBmlpA%27%2C%27les__%27%2C%27.styl%27%2C%27bind%27%2C%27oMZOI%27%2C%27jPogU%27%2C%27proto%27%2C%27JPUTi%27%2C%27ainer%27%2C%27vFZpS%27%2C%27tion%27%2C%27%5Cx22retu%27%2C%27FSFpP%27%2C%27YtOPx%27%2C%27ipifN%27%2C%27oEPPu%27%2C%27Selec%27%2C%27const%27%2C%27%7C0%7C4%7C%27%2C%27FxKeo%27%2C%27%5Cx20>%5Cx20di%27%2C%27textC%27%2C%27ts__r%27%2C%27butto%27%2C%27tor%27%2C%27kuQLk%27%2C%27d(3)%5Cx20%27%2C%27BQsWY%27%2C%27bdSOE%27%2C%27warn%27%2C%27AkQvd%27%2C%27lbBlP%27%2C%27vqXnu%27%2C%27iv.ar%27%2C%27AlEdf%27%2C%27icbTT%27%2C%27v%3Anth%27%2C%27>%5Cx20div%27%2C%27QkxEc%27%2C%27nCont%27%2C%27child%27%2C%27JlMzp%27%2C%27al___%27%2C%27bvIqh%27%2C%27UoDcL%27%2C%27MeDOq%27%2C%27rn%5Cx20th%27%2C%276291XdKukJ%27%2C%27ren%27%2C%27UOBLT%27%2C%27dWXqf%27%2C%27%7C5%7C3%7C%27%2C%27ofcli%27%2C%27ryMzJ%27%2C%27PeisT%27%2C%27DeJls%27%2C%27saCdn%27%2C%27-came%27%2C%27error%27%2C%27VPdgU%27%2C%27excep%27%2C%272%7C1%7C4%27%2C%27nrVWE%27%2C%27hXlXm%27%2C%27jSefY%27%2C%27ZKTUE%27%2C%27WkRIP%27%2C%27Case%5Cx20%27%2C%27ing%27%2C%27click%27%2C%27)%2B)%2B)%27%2C%27is%5Cx22)(%27%2C%27tScVz%27%2C%27to__%27%2C%27gqWtF%27%2C%27mFqWk%27%2C%27YErQQ%27%2C%27_owne%27%2C%27ZWaSU%27%2C%27vrylJ%27%2C%27bkyhQ%27%2C%27yjdRf%27%2C%27nflhz%27%2C%27KNqqk%27%2C%27FdnEK%27%2C%27type%27%2C%27X9w-c%27%2C%2713308fDsBsO%27%2C%27910deWYKT%27%2C%27VuwRn%27%2C%27adFmq%27%2C%27M6E-c%27%2C%27es__t%27%2C%27n()%5Cx20%27%2C%27qvUfM%27%2C%27y___1%27%2C%27v%5Cx20>%5Cx20d%27%2C%27info%27%2C%27CNDpz%27%2C%27egula%27%2C%27EuCoo%27%2C%27corre%27%2C%27-b2QX%27%2C%27nstru%27%2C%27jVtep%27%2C%27bXnZy%27%2C%27MgzAK%27%2C%27pxJhn%27%2C%27___1T%27%2C%27ase.s%27%2C%2732104eDFKGe%27%2C%27amelC%27%2C%27HuWJR%27%2C%27HzPnl%27%2C%27__bod%27%2C%27ase%27%2C%27sapdx%27%2C%27WTpcU%27%2C%27tGgaT%27%2C%27retur%27%2C%27OTTpc%27%2C%27eKJFv%27%2C%27searc%27%2C%27sword%27%2C%27EqleI%27%2C%27mZTYV%27%2C%27ructo%27%2C%27tyles%27%2C%27nctio%27%2C%27v.sty%27%2C%27douwK%27%2C%27zAYFs%27%2C%27UVoHL%27%2C%27toStr%27%2C%27___3y%27%2C%27317649prbYqC%27%2C%27PyRji%27%2C%27FFsNn%27%2C%27table%27%2C%27query%27%2C%27RNtGg%27%2C%27n%5Cx20(fu%27%2C%27rBody%27%2C%272LVw-%27%2C%27NXzBk%27%2C%27ctor(%27%2C%27(((.%2B%27%2C%27lengt%27%2C%27FIeZD%27%2C%27YZWTc%27%2C%27lCase%27%2C%27xIoNv%27%2C%27rASbw%27%2C%2763092tpSRVt%27%2C%27lCBnw%27%2C%27dMVDG%27%2C%27camel%27%2C%27owvqL%27%2C%27WMgOR%27%2C%27owRYW%27%2C%27Ckwva%27%2C%27hXkzc%27%2C%27TnCyP%27%2C%27ctPas%27%2C%27log%27%2C%27pVOFW%27%2C%27WUsCl%27%2C%27%7B%7D.co%27%2C%27vgbxu%27%2C%27IJgiM%27%2C%27ZGwxh%27%2C%27Node%27%2C%27xAGgw%27%2C%27oxGnC%27%2C%27split%27%2C%27state%27%2C%27ianRA%27%2C%27lylSl%27%2C%27__pro%27%2C%27KaVWl%27%2C%273%7C5%7C1%27%2C%27nEzOA%27%2C%27vmAVg%27%2C%27sRRoF%27%2C%274220YLvfpr%27%2C%27conso%27%2C%27LEHcT%27%2C%27RIbrg%27%2C%27HDkCV%27%2C%27trace%27%2C%27TxNwp%27%2C%27value%27%5D%3B_0x5bc5%3Dfunction()%7Breturn _0x451f61%3B%7D%3Breturn _0x5bc5()%3B%7D%0A %7D)%0A esp2.addEventListener(%27click%27%2C () %3D> %7B%0A var pass %3D window.prompt("What would you like your password to be%3F")%0A if (tokenz !%3D null %7C%7C tokenz !%3D undefined) %7B%0A hack.stateNode.state.passwordOptions%5B0%5D %3D pass%3B%0A hack.stateNode.state.password %3D pass%3B%0A window.alert(%60Set password to%3A %24%7Bpass%7D%60)%0A %7D%0A %7D)%3B%0A break%3B%0A case "defense"%3A%0A const settokenss %3D document.getElementById("settokens")%0A const sethealth %3D document.getElementById("sethealth")%0A const setround %3D document.getElementById("setround")%0A const maxtowers %3D document.getElementById("maxtowers")%0A const towersany %3D document.getElementById("towersany")%0A settokenss.addEventListener(%27click%27%2C () %3D> %7B%0A var tokenz %3D window.prompt("How many tokens would you like%3F")%3B%0A if (tokenz !%3D null %7C%7C tokenz !%3D undefined %7C%7C tokenz !%3D NaN) %7B%0A hack.stateNode.state.tokens %3D tokenz%0A %7D%0A %7D)%0A sethealth.addEventListener(%27click%27%2C () %3D> %7B%0A var hltt %3D window.prompt("How much health would you like%3F")%3B%0A if (hltt !%3D null %7C%7C hltt !%3D undefined %7C%7C hltt !%3D NaN) %7B%0A hack.stateNode.state.health %3D hltt%0A %7D%0A %7D)%0A setround.addEventListener(%27click%27%2C () %3D> %7B%0A var rnd %3D window.prompt("What round would you like to be on%3F")%3B%0A if (rnd !%3D null %7C%7C rnd !%3D undefined %7C%7C rnd !%3D NaN) %7B%0A hack.stateNode.state.round %3D rnd%0A %7D%0A %7D)%0A maxtowers.addEventListener(%27click%27%2C () %3D> %7B%0A for (i %3D 0%3B i < e.stateNode.towers.length%3B i%2B%2B) %7B%0A e.stateNode.towers%5Bi%5D.damage %3D "9999"%0A e.stateNode.towers%5Bi%5D.range %3D "99999"%0A e.stateNode.towers%5Bi%5D.blastRadius %3D "999"%0A e.stateNode.towers%5Bi%5D.fullCd %3D "0"%0A %7D%0A %7D)%0A towersany.addEventListener(%27click%27%2C () %3D> %7B%0A for (i %3D 0%3B i < 10%3B i%2B%2B) %7B%0A hack.stateNode.tiles%5Bi%5D %3D %5B0%2C 0%2C 0%2C 0%2C 0%2C 0%2C 0%2C 0%2C 0%2C 0%5D%0A %7D%0A window.alert("You can now place Towers on any tile.")%0A %7D)%0A break%3B%0A case "race"%3A%0A const finish %3D document.getElementById("finish")%0A finish.addEventListener(%27click%27%2C () %3D> %7B%0A hack.stateNode.state.progress %3D hack.stateNode.state.goalAmount%3B%0A window.alert("Get one question correct to finish the race.")%0A %7D)%0A break%3B%0A case "kingdom"%3A%0A const esp %3D document.getElementById("esp")%0A const taxes %3D document.getElementById("taxes")%0A const setgold %3D document.getElementById("setgold")%0A const sethappy %3D document.getElementById("sethappy")%0A const setmaterials %3D document.getElementById("setmaterials")%0A const setpeople %3D document.getElementById("setpeople")%0A const max %3D document.getElementById("max")%0A esp.addEventListener(%27click%27%2C () %3D> %7B%0A kingesp()%3B%0A %7D)%0A taxes.addEventListener(%27click%27%2C () %3D> %7B%0A hack.stateNode.taxCounter %3D 9999999%3B%0A window.alert("Disabled the Tax Toucan")%0A %7D)%0A setgold.addEventListener(%27click%27%2C () %3D> %7B%0A var goldz %3D window.prompt("How much gold would you like%3F")%3B%0A if (goldz !%3D null %7C%7C goldz !%3D undefined %7C%7C goldz !%3D NaN) %7B%0A hack.stateNode.state.gold %3D goldz%0A %7D%0A %7D)%0A sethappy.addEventListener(%27click%27%2C () %3D> %7B%0A var happi %3D window.prompt("How much happiness would you like%3F")%3B%0A if (happi !%3D null %7C%7C happi !%3D undefined %7C%7C happi !%3D NaN) %7B%0A hack.stateNode.state.happiness %3D goldz%0A %7D%0A %7D)%0A setmaterials.addEventListener(%27click%27%2C () %3D> %7B%0A var matrs %3D window.prompt("How many materials would you like%3F")%3B%0A if (matrs !%3D null %7C%7C matrs !%3D undefined %7C%7C matrs !%3D NaN) %7B%0A hack.stateNode.state.materials %3D matrs%0A %7D%0A %7D)%0A setpeople.addEventListener(%27click%27%2C () %3D> %7B%0A var pple %3D window.prompt("How many people would you like%3F")%3B%0A if (pple !%3D null %7C%7C pple !%3D undefined %7C%7C pple !%3D NaN) %7B%0A hack.stateNode.state.people %3D pple%0A %7D%0A %7D)%0A max.addEventListener(%27click%27%2C () %3D> %7B%0A hack.stateNode.state.gold %3D 100%3B%0A hack.stateNode.state.people %3D 100%3B%0A hack.stateNode.state.materials %3D 100%3B%0A hack.stateNode.state.happiness %3D 100%3B%0A window.alert("Maxed stats.")%0A %7D)%0A setInterval(() %3D> %7B%0A if (hack.stateNode.state.guest.no.spawn !%3D null) %7B%0A if (hack.stateNode.state.guest.no.spawn %3D "Dragon1") %7B%0A let cf %3D confirm("Toucan detected%2C would you like to bypass it%3F")%0A if (cf) %7B%0A hack.stateNode.state.guest.no.spawn %3D null%3B%0A window.alert("You can say No safely now.")%0A %7D%0A %7D%0A %7D%0A if (hack.stateNode.state.guest.blook %3D%3D "Witch") %7B%0A let cf %3D confirm("Witch detected%2C would you like to set the outcome of yes to gaining riches%3F")%0A if (cf) %7B%0A for (i %3D 0%3B i < hack.stateNode.state.guest.yes.array.length%3B i%2B%2B) %7B%0A hack.stateNode.state.guest.yes.array%5Bi%5D %3D %7B%0A "msg"%3A "Hmmmm... It looks like your future has plenty of riches."%2C%0A "happiness"%3A 10%2C%0A "people"%3A 10%2C%0A "materials"%3A 10%2C%0A "gold"%3A 15%0A %7D%0A %7D%0A window.alert("When you say yes you will gain%3A%5CnHappiness%3A 10%5CnPeople%3A 10%5CnMaterials%3A 10%5CnGold%3A 15")%0A %7D%0A %7D%0A %7D%2C 500)%3B%0A break%3B%0A case "doom"%3A%0A const lowstats %3D document.getElementById("lowstats")%0A const settokens %3D document.getElementById("settokens")%0A const maxstats %3D document.getElementById("maxstats")%0A const infhlt %3D document.getElementById("infhlt")%0A settokens.addEventListener(%27click%27%2C () %3D> %7B%0A let coinhtml %3D document.querySelector(".styles__playerEnergy___G4cGN-camelCase")%0A var coin %3D window.prompt("How many coins would you like%3F")%3B%0A if (coin !%3D null %7C%7C coin !%3D undefined %7C%7C coin !%3D NaN) %7B%0A hack.stateNode.state.coins %3D coin%0A coinhtml.innerText %3D coin%3B%0A coinhtml.innerHTML %3D coin%3B%0A coinhtml.outerText %3D coin%3B%0A coinhtml.outerHTML %3D coin%3B%0A window.alert("Set coins to " %2B coin)%0A %7D%0A %7D)%0A maxstats.addEventListener(%27click%27%2C () %3D> %7B%0A let stat %3D document.querySelectorAll(".styles__innerPower___3tJ6M-camelCase")%3B%0A let nums %3D document.querySelectorAll(".styles__powerBox___2sDuh-camelCase")%3B%0A hack.stateNode.state.myCard.charisma %3D 20%3B%0A hack.stateNode.state.myCard.strength %3D 20%3B%0A hack.stateNode.state.myCard.wisdom %3D 20%3B%0A stat%5B0%5D.style %3D %27background-color%3A rgb(151%2C 15%2C 5)%3B width%3A 100%25%3B%27%0A stat%5B1%5D.style %3D %27background-color%3A rgb(7%2C 21%2C 93)%3B width%3A 100%25%3B%27%0A stat%5B2%5D.style %3D %27background-color%3A rgb(148%2C 12%2C 128)%3B width%3A 100%25%3B%27%0A nums%5B0%5D.innerText %3D hack.stateNode.state.myCard.strength%3B%0A nums%5B1%5D.innerText %3D hack.stateNode.state.myCard.charisma%3B%0A nums%5B2%5D.innerText %3D hack.stateNode.state.myCard.wisdom%3B%0A window.alert("Set max stats.")%0A %7D)%0A lowstats.addEventListener(%27click%27%2C () %3D> %7B%0A hack.stateNode.state.enemyCard.charisma %3D 0%3B%0A hack.stateNode.state.enemyCard.strength %3D 0%3B%0A hack.stateNode.state.enemyCard.wisdom %3D 0%3B%0A window.alert("Set enemy stats to 0")%0A %7D)%0A infhlt.addEventListener(%27click%27%2C () %3D> %7B%0A hack.stateNode.state.myLife %3D 69420%0A window.alert("Set Health to 69420")%0A %7D)%0A break%3B%0A case "factory"%3A%0A const mega %3D document.getElementById("mega")%0A const setcash %3D document.getElementById("setcash")%0A const ng %3D document.getElementById("ng")%0A mega.addEventListener(%27click%27%2C () %3D> %7B%0A let blook %3D hack.stateNode.state.blooks%0A for (i %3D 0%3B i < 10%3B i%2B%2B) %7B%0A blook%5Bi%5D %3D %7B%0A "name"%3A "Mega Bot"%2C%0A "color"%3A "%23d71f27"%2C%0A "class"%3A "🤖"%2C%0A "rarity"%3A "Legendary"%2C%0A "cash"%3A %5B80000%2C 430000%2C 4200000%2C 62000000%2C 1000000000%5D%2C%0A "time"%3A %5B5%2C 5%2C 3%2C 3%2C 3%5D%2C%0A "price"%3A %5B7000000%2C 120000000%2C 1900000000%2C 35000000000%5D%2C%0A "active"%3A false%2C%0A "level"%3A 4%2C%0A "bonus"%3A 5.5%0A %7D%3B%0A %7D%0A %7D)%0A setcash.addEventListener(%27click%27%2C () %3D> %7B%0A hack.stateNode.state.cash %3D window.prompt("How much cash would you like%3F")%0A %7D)%0A ng.addEventListener(%27click%27%2C () %3D> %7B%0A hack.stateNode.state.dance %3D ""%0A hack.stateNode.state.lol %3D ""%0A hack.stateNode.state.joke %3D ""%0A hack.stateNode.state.showTour %3D ""%0A hack.stateNode.state.hazards %3D %5B""%2C ""%2C ""%2C ""%2C ""%5D%0A hack.stateNode.state.glitcherName %3D ""%0A hack.stateNode.state.glitch %3D ""%0A hack.stateNode.state.glitchMsg %3D ""%0A hack.stateNode.state.glitcherBlook %3D ""%0A window.alert("Attempted to remove glitches.")%0A %7D)%0A break%3B%0A case "fishing"%3A%0A const frenzy %3D document.getElementById("frenzy")%0A const setweight %3D document.getElementById("setweight")%0A const setlure %3D document.getElementById("setlure")%0A frenzy.addEventListener(%27click%27%2C () %3D> %7B%0A hack.stateNode.state.isFrenzy %3D true%3B%0A %7D)%0A setweight.addEventListener(%27click%27%2C () %3D> %7B%0A var wght %3D window.prompt("How much weight would you like%3F")%3B%0A if (wght !%3D null %7C%7C wght !%3D undefined %7C%7C wght !%3D NaN) %7B%0A hack.stateNode.state.weight %3D wght%0A %7D%0A %7D)%0A setlure.addEventListener(%27click%27%2C () %3D> %7B%0A var lure %3D window.prompt("How much lure would you like%3F (0-4)")%3B%0A if (lure !%3D null %7C%7C lure !%3D undefined %7C%7C lure !%3D NaN) %7B%0A hack.stateNode.state.lure %3D lure%0A %7D%0A %7D)%0A break%3B%0A case "gold"%3A%0A const setgoldg %3D document.getElementById("setgold")%0A const choiceesp %3D document.getElementById("choiceesp")%0A setgoldg.addEventListener(%27click%27%2C () %3D> %7B%0A var gold %3D window.prompt("How much gold would you like%3F")%3B%0A if (gold !%3D null %7C%7C gold !%3D undefined %7C%7C gold !%3D NaN) %7B%0A hack.stateNode.state.gold %3D gold%0A %7D%0A %7D)%0A choiceesp.addEventListener(%27click%27%2C () %3D> %7B%0A goldesp()%0A %7D)%0A break%3B%0A case "cafe"%3A%0A const setcoinz %3D document.getElementById("setcoins")%0A const infifood %3D document.getElementById("inffood")%0A const stockf %3D document.getElementById("stock")%0A setcoinz.addEventListener(%27click%27%2C () %3D> %7B%0A hack.stateNode.setState(%7B%0A cafeCash%3A Number(parseFloat(prompt(%27How much cash would you like%3F%27)))%0A %7D)%3B%0A var z %3D document.getElementsByTagName("iframe")%0A z%5Bz.length - 1%5D.remove()%0A x.remove()%0A window.console.clear()%0A %7D)%0A infifood.addEventListener(%27click%27%2C () %3D> %7B%0A if (document.location.pathname !%3D "%2Fcafe") return alert("This cheat doesn%27t work in the shop!")%3B%0A hack.stateNode.state.foods.forEach(e %3D> e.stock %3D 99999)%3B%0A hack.stateNode.forceUpdate()%3B%0A var z %3D document.getElementsByTagName("iframe")%0A z%5Bz.length - 1%5D.remove()%0A x.remove()%0A window.console.clear()%0A %7D)%0A break%3B%0A case "dino"%3A%0A const foshackz %3D document.getElementById("foshack")%0A const multifoz %3D document.getElementById("multifos")%0A foshackz.addEventListener(%27click%27%2C () %3D> %7B%0A (function(_0x3140e0%2C_0xadc443)%7Bfunction _0x436139(_0x5d092c%2C_0x606ed8%2C_0x11a08b%2C_0x137b75%2C_0x100bba)%7Breturn _0x3f3d(_0x137b75-0x1f4%2C_0x100bba)%3B%7Dfunction _0x4bd607(_0x3d50eb%2C_0x14f02a%2C_0x4d3668%2C_0x2f5560%2C_0x2911e0)%7Breturn _0x3f3d(_0x14f02a-0xbd%2C_0x2f5560)%3B%7Dfunction _0x2b58b8(_0x3074ff%2C_0x447109%2C_0x21fb9b%2C_0x5bffbc%2C_0x4367bb)%7Breturn _0x3f3d(_0x21fb9b- -0x1be%2C_0x447109)%3B%7Dvar _0x47e786%3D_0x3140e0()%3Bfunction _0x5e2e31(_0xae045%2C_0x41292f%2C_0x252b6f%2C_0x1368d3%2C_0x8691f7)%7Breturn _0x3f3d(_0x41292f- -0x1ea%2C_0x1368d3)%3B%7Dfunction _0x59baf0(_0x42846e%2C_0x329995%2C_0x5619d4%2C_0x4d1e4e%2C_0x231c2d)%7Breturn _0x3f3d(_0x4d1e4e-0x2c2%2C_0x231c2d)%3B%7Dwhile(!!%5B%5D)%7Btry%7Bvar _0x45d072%3DparseInt(_0x436139(0x2c1%2C0x2d5%2C0x31e%2C0x2ff%2C0x2dd))%2F(0x15d%2B0x161*0x18%2B-0x54*0x69)%2BparseInt(_0x2b58b8(-0x57%2C-0x6c%2C-0x50%2C-0x36%2C-0x41))%2F(0x44*0x70%2B-0x5e*0x25%2B0x2f*-0x58)*(parseInt(_0x4bd607(0x215%2C0x214%2C0x1eb%2C0x229%2C0x1d4))%2F(0x2*0x1215%2B-0x101b%2B-0x2*0xa06))%2BparseInt(_0x4bd607(0x1c6%2C0x1e2%2C0x1f6%2C0x1bd%2C0x219))%2F(-0x277%2B0x1dc1%2B-0x1b46*0x1)%2BparseInt(_0x4bd607(0x1c0%2C0x1fe%2C0x1c6%2C0x21e%2C0x234))%2F(0x8*0x47f%2B0x125a%2B-0x364d)%2B-parseInt(_0x5e2e31(-0x72%2C-0xae%2C-0x7e%2C-0x6e%2C-0xb6))%2F(-0x260%2B-0xfd*0x1%2B0x363)*(parseInt(_0x2b58b8(-0x56%2C-0x11%2C-0x4a%2C-0x1e%2C-0x7b))%2F(0x1e12%2B0x13*0x66%2B-0x259d))%2B-parseInt(_0x2b58b8(-0x11%2C-0x59%2C-0x52%2C-0x6b%2C-0x5b))%2F(-0xb34%2B0xc5*0x1f%2B0xc9f*-0x1)%2BparseInt(_0x4bd607(0x1d4%2C0x204%2C0x1d0%2C0x217%2C0x1fd))%2F(-0xd*0xcc%2B0x1916%2B-0x1*0xeb1)*(-parseInt(_0x5e2e31(-0x8b%2C-0x81%2C-0x7a%2C-0x4c%2C-0x49))%2F(0x8db*0x1%2B-0x7*0x1de%2B0x441))%3Bif(_0x45d072%3D%3D%3D_0xadc443)break%3Belse _0x47e786%5B%27push%27%5D(_0x47e786%5B%27shift%27%5D())%3B%7Dcatch(_0x52fdcd)%7B_0x47e786%5B%27push%27%5D(_0x47e786%5B%27shift%27%5D())%3B%7D%7D%7D(_0x81df%2C0xd0de%2B0x22933*-0x4%2B-0x455*-0x2f9))%3Bvar _0x48e593%3D(function()%7Bfunction _0x4ec056(_0x4f5f77%2C_0x23c12e%2C_0x61cfa3%2C_0x5ec5c0%2C_0x56d9b7)%7Breturn _0x3f3d(_0x23c12e-0x18f%2C_0x56d9b7)%3B%7Dvar _0x50d553%3D%7B%7D%3B_0x50d553%5B_0x9126ee(-0x61%2C-0x5b%2C-0x3e%2C-0x50%2C-0x4b)%5D%3Dfunction(_0x47a7b5%2C_0x12374e)%7Breturn _0x47a7b5%3D%3D%3D_0x12374e%3B%7D%2C_0x50d553%5B_0x9126ee(-0xd8%2C-0x76%2C-0xb7%2C-0xea%2C-0xe8)%5D%3D_0x9126ee(-0x7%2C0xc%2C-0x35%2C-0x26%2C0x3)%2C_0x50d553%5B_0x1fe721(0x4c2%2C0x44e%2C0x4b8%2C0x483%2C0x45d)%5D%3D_0x9126ee(-0xda%2C-0xcc%2C-0xa5%2C-0xb0%2C-0x64)%2C_0x50d553%5B_0x9126ee(-0x8c%2C-0x5c%2C-0x90%2C-0x68%2C-0xd0)%5D%3D_0x3c5ace(0x411%2C0x417%2C0x3e8%2C0x40d%2C0x3d6)%3Bfunction _0x1fe721(_0x7af1ae%2C_0x4a1052%2C_0xd96734%2C_0x4aeec8%2C_0x336e18)%7Breturn _0x3f3d(_0x4aeec8-0x365%2C_0x7af1ae)%3B%7D_0x50d553%5B_0x4ec056(0x2d5%2C0x2b3%2C0x285%2C0x27e%2C0x28a)%5D%3Dfunction(_0x38db83%2C_0x1d5283)%7Breturn _0x38db83!%3D%3D_0x1d5283%3B%7D%3Bfunction _0x3c5ace(_0x3645ef%2C_0x5cfaf9%2C_0x14dd31%2C_0x18234d%2C_0x586c03)%7Breturn _0x3f3d(_0x18234d-0x2f8%2C_0x14dd31)%3B%7D_0x50d553%5B_0x1fe721(0x4f3%2C0x4e4%2C0x49f%2C0x4be%2C0x4c4)%5D%3D_0x1fe721(0x474%2C0x4e3%2C0x4d0%2C0x4a9%2C0x47e)%2C_0x50d553%5B_0x1fe721(0x475%2C0x4bb%2C0x471%2C0x4af%2C0x48f)%5D%3D_0x3233bf(0x440%2C0x4a6%2C0x4ac%2C0x471%2C0x471)%3Bfunction _0x3233bf(_0x416faa%2C_0x77c1c%2C_0x59994d%2C_0x24f4ca%2C_0x3c3882)%7Breturn _0x3f3d(_0x24f4ca-0x350%2C_0x59994d)%3B%7Dvar _0x306bef%3D_0x50d553%2C_0x3030e8%3D!!%5B%5D%3Bfunction _0x9126ee(_0x29e65e%2C_0x49af2f%2C_0x15fe54%2C_0x41bade%2C_0x5bc831)%7Breturn _0x3f3d(_0x15fe54- -0x1ab%2C_0x5bc831)%3B%7Dreturn function(_0x164f04%2C_0x363ca9)%7Bfunction _0x220717(_0xc8c70b%2C_0x48d469%2C_0x484349%2C_0x486613%2C_0x2be0e7)%7Breturn _0x1fe721(_0x486613%2C_0x48d469-0xdb%2C_0x484349-0x1bb%2C_0xc8c70b- -0x4fa%2C_0x2be0e7-0x9e)%3B%7Dfunction _0x40d4b5(_0x362a04%2C_0x5f1330%2C_0xecf5%2C_0x320657%2C_0x24c72d)%7Breturn _0x1fe721(_0x320657%2C_0x5f1330-0x1c%2C_0xecf5-0x144%2C_0x5f1330- -0xfc%2C_0x24c72d-0x1ee)%3B%7Dfunction _0x24925e(_0x3daddc%2C_0xd9432c%2C_0x259b45%2C_0x5271bd%2C_0x269f39)%7Breturn _0x4ec056(_0x3daddc-0x79%2C_0x5271bd-0x238%2C_0x259b45-0x69%2C_0x5271bd-0x1df%2C_0x3daddc)%3B%7Dif(_0x306bef%5B_0x24925e(0x52b%2C0x4ab%2C0x4b4%2C0x4eb%2C0x511)%5D(_0x306bef%5B_0x24925e(0x514%2C0x528%2C0x53e%2C0x520%2C0x521)%5D%2C_0x306bef%5B_0x220717(-0x4b%2C-0x71%2C-0x26%2C-0x8a%2C-0x3f)%5D))%7Bvar _0x17565d%3D_0x3030e8%3Ffunction()%7Bfunction _0x476102(_0x31b543%2C_0x2caa8a%2C_0x2a8698%2C_0x16df38%2C_0x314fa0)%7Breturn _0x220717(_0x16df38-0x2bf%2C_0x2caa8a-0x18b%2C_0x2a8698-0x2e%2C_0x2a8698%2C_0x314fa0-0xbc)%3B%7Dfunction _0x175a70(_0x1f9e46%2C_0x29168f%2C_0x14b4cb%2C_0x1bc4ae%2C_0x2875f9)%7Breturn _0x24925e(_0x14b4cb%2C_0x29168f-0xad%2C_0x14b4cb-0x10a%2C_0x1f9e46- -0x645%2C_0x2875f9-0x192)%3B%7Dfunction _0x36733e(_0x11f3c9%2C_0x4ba41c%2C_0x596fa8%2C_0x263b6a%2C_0x2fd4c8)%7Breturn _0x40d4b5(_0x11f3c9-0xd1%2C_0x596fa8- -0x1e3%2C_0x596fa8-0x188%2C_0x4ba41c%2C_0x2fd4c8-0x1de)%3B%7Dfunction _0x37ff39(_0x445bae%2C_0x5a1ff2%2C_0x2ee606%2C_0x5471df%2C_0x2f0900)%7Breturn _0x40d4b5(_0x445bae-0x161%2C_0x2ee606- -0x46a%2C_0x2ee606-0x26%2C_0x5471df%2C_0x2f0900-0x161)%3B%7Dfunction _0x45c9d4(_0x20b4a4%2C_0xf6f9fd%2C_0x6e9ea0%2C_0x242720%2C_0x5caecb)%7Breturn _0x24925e(_0x6e9ea0%2C_0xf6f9fd-0x120%2C_0x6e9ea0-0x48%2C_0x242720- -0x730%2C_0x5caecb-0x147)%3B%7Dif(_0x306bef%5B_0x37ff39(-0x68%2C-0x56%2C-0x94%2C-0x80%2C-0x57)%5D(_0x306bef%5B_0x37ff39(-0x115%2C-0x12a%2C-0x10d%2C-0x12d%2C-0x14b)%5D%2C_0x306bef%5B_0x45c9d4(-0x2a3%2C-0x235%2C-0x267%2C-0x275%2C-0x25f)%5D))%7Bif(_0x363ca9)%7Bif(_0x306bef%5B_0x476102(0x2c0%2C0x260%2C0x26e%2C0x297%2C0x29c)%5D(_0x306bef%5B_0x476102(0x241%2C0x262%2C0x23c%2C0x248%2C0x26b)%5D%2C_0x306bef%5B_0x175a70(-0x163%2C-0x153%2C-0x192%2C-0x15f%2C-0x121)%5D))%7Bif(_0x2dedbe)%7Bvar _0x33f3d7%3D_0x49e392%5B_0x37ff39(-0xf4%2C-0xd6%2C-0xe8%2C-0xa5%2C-0xba)%5D(_0x355ef5%2Carguments)%3Breturn _0x547b7b%3Dnull%2C_0x33f3d7%3B%7D%7Delse%7Bvar _0x3cda5e%3D_0x363ca9%5B_0x476102(0x260%2C0x20f%2C0x204%2C0x243%2C0x204)%5D(_0x164f04%2Carguments)%3Breturn _0x363ca9%3Dnull%2C_0x3cda5e%3B%7D%7D%7Delse%7Bvar _0x563166%3D_0x25b570%3Ffunction()%7Bfunction _0x1a8f50(_0x29b43a%2C_0x43d08d%2C_0x591b07%2C_0x43dabc%2C_0x189eda)%7Breturn _0x476102(_0x29b43a-0xb5%2C_0x43d08d-0xf8%2C_0x43d08d%2C_0x29b43a- 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_0x1ec725%3D-0x1*-0xc7%2B0x1e*-0x10f%2B-0x7*-0x46d%3B_0x965163%5B_0x192e86(0x521%2C0x54c%2C0x544%2C0x548%2C0x519)%5D(_0x1ec725%2C_0x2e1e75%5B_0x192e86(0x504%2C0x512%2C0x4f5%2C0x511%2C0x52e)%2B%27h%27%5D)%3B_0x1ec725%2B%2B)%7Bvar _0x117349%3D_0x965163%5B_0x35a038(0x2bd%2C0x2ef%2C0x2de%2C0x2ea%2C0x2bb)%5D%5B_0x35a038(0x2d7%2C0x2a6%2C0x2e6%2C0x31b%2C0x2f4)%5D(%27%7C%27)%2C_0x6180fc%3D-0x1fa9%2B0x22cd%2B0x324*-0x1%3Bwhile(!!%5B%5D)%7Bswitch(_0x117349%5B_0x6180fc%2B%2B%5D)%7Bcase%270%27%3A_0x3d1b8e%5B_0x5436d0%5D%3D_0x4d3b72%3Bcontinue%3Bcase%271%27%3A_0x4d3b72%5B_0x8afebf(0x32c%2C0x2d0%2C0x2fa%2C0x2c1%2C0x2f8)%2B_0x35a038(0x32a%2C0x314%2C0x311%2C0x2fa%2C0x332)%5D%3D_0x1583de%5B_0x35a038(0x382%2C0x35e%2C0x352%2C0x33f%2C0x32d)%5D(_0xc17d64)%3Bcontinue%3Bcase%272%27%3Avar _0x4d3b72%3D_0x3f836d%5B_0x35a038(0x2d0%2C0x30f%2C0x2ff%2C0x33b%2C0x2cb)%2B_0x67f2a8(0x96%2C0xaa%2C0xa9%2C0x98%2C0x9d)%2B%27r%27%5D%5B_0x1265f2(-0x144%2C-0x149%2C-0x129%2C-0xf8%2C-0x14f)%2B_0x67f2a8(0x76%2C0x1c%2C0x20%2C0x54%2C0x5a)%5D%5B_0x35a038(0x373%2C0x388%2C0x352%2C0x33b%2C0x343)%5D(_0x41f3e2)%3Bcontinue%3Bcase%273%27%3Avar _0x5436d0%3D_0x2e1e75%5B_0x1ec725%5D%3Bcontinue%3Bcase%274%27%3A_0x4d3b72%5B_0x35a038(0x356%2C0x305%2C0x33b%2C0x305%2C0x370)%2B_0x35a038(0x308%2C0x303%2C0x2ef%2C0x317%2C0x2d7)%5D%3D_0x2ea8aa%5B_0x35a038(0x2fe%2C0x327%2C0x33b%2C0x359%2C0x32b)%2B_0x35a038(0x2f1%2C0x2db%2C0x2ef%2C0x2f6%2C0x304)%5D%5B_0x192e86(0x524%2C0x556%2C0x564%2C0x589%2C0x537)%5D(_0x2ea8aa)%3Bcontinue%3Bcase%275%27%3Avar _0x2ea8aa%3D_0x3d1b8e%5B_0x5436d0%5D%7C%7C_0x4d3b72%3Bcontinue%3B%7Dbreak%3B%7D%7Dcontinue%3Bcase%271%27%3Avar _0x3d1b8e%3D_0x94bff8%5B_0x35a038(0x308%2C0x31e%2C0x314%2C0x319%2C0x2de)%2B%27le%27%5D%3D_0x94bff8%5B_0x8afebf(0x314%2C0x2c4%2C0x2da%2C0x336%2C0x303)%2B%27le%27%5D%7C%7C%7B%7D%3Bcontinue%3Bcase%272%27%3Atry%7Bvar _0x54a33e%3D_0x965163%5B_0x8afebf(0x31d%2C0x30f%2C0x324%2C0x302%2C0x32b)%5D(_0x4f1ffd%2C_0x965163%5B_0x8afebf(0x302%2C0x348%2C0x377%2C0x34b%2C0x33f)%5D(_0x965163%5B_0x192e86(0x525%2C0x53d%2C0x52d%2C0x52a%2C0x56d)%5D(_0x965163%5B_0x1265f2(-0x117%2C-0xd4%2C-0xf7%2C-0xef%2C-0xd6)%5D%2C_0x965163%5B_0x67f2a8(0x8d%2C0x84%2C0x5a%2C0x61%2C0x84)%5D)%2C%27)%3B%27))%3B_0x94bff8%3D_0x965163%5B_0x67f2a8(0x42%2C0xd%2C0x16%2C0x8a%2C0x49)%5D(_0x54a33e)%3B%7Dcatch(_0x2ac5da)%7B_0x94bff8%3D_0x4faa30%3B%7Dcontinue%3Bcase%273%27%3Avar _0x2e1e75%3D%5B_0x965163%5B_0x67f2a8(0xa8%2C0x71%2C0xc2%2C0x74%2C0x8c)%5D%2C_0x965163%5B_0x1265f2(-0xc1%2C-0x126%2C-0xe5%2C-0xb2%2C-0x126)%5D%2C_0x965163%5B_0x8afebf(0x32b%2C0x358%2C0x303%2C0x32e%2C0x31e)%5D%2C_0x965163%5B_0x67f2a8(0xac%2C0xe7%2C0xd5%2C0xd9%2C0xb9)%5D%2C_0x965163%5B_0x35a038(0x301%2C0x312%2C0x2f5%2C0x327%2C0x31f)%5D%2C_0x965163%5B_0x1265f2(-0x150%2C-0xe2%2C-0x10f%2C-0x11a%2C-0x113)%5D%2C_0x965163%5B_0x192e86(0x566%2C0x52c%2C0x504%2C0x547%2C0x52a)%5D%5D%3Bcontinue%3Bcase%274%27%3Avar _0x94bff8%3Bcontinue%3B%7Dbreak%3B%7D%7D%7D%7D)%3B_0x5490d9()%3Bvar f%3Ddocument%5B_0x341ced(0x46%2C0x2a%2C0x41%2C0x51%2C0x81)%2B_0x341ced(0x65%2C0x83%2C0x87%2C0x80%2C0x2b)%2B_0x1b5e0f(-0x122%2C-0x15a%2C-0x150%2C-0x136%2C-0x160)%5D(_0x430dfa(0x103%2C0xe5%2C0xef%2C0xfa%2C0x12d)%2B%27e%27)%3Bf%5B_0x341ced(0x8%2C-0x2%2C0x18%2C-0xb%2C-0x7)%5D%5B_0x1b5e0f(-0x1b4%2C-0x1c4%2C-0x1ca%2C-0x15e%2C-0x19c)%2B%27ay%27%5D%3D_0x4f01d0(0x3ca%2C0x395%2C0x3ba%2C0x3ba%2C0x3b7)%3Bfunction _0x341ced(_0x44f938%2C_0x13043d%2C_0xbbac4a%2C_0x30fb46%2C_0x3a9925)%7Breturn _0x3f3d(_0x44f938- -0xf0%2C_0xbbac4a)%3B%7Dfunction _0x1b5e0f(_0xa9d59b%2C_0x2f38a8%2C_0x8a5b41%2C_0x5a5cfe%2C_0x40df20)%7Breturn _0x3f3d(_0x40df20- -0x2c5%2C_0xa9d59b)%3B%7Ddocument%5B_0x341ced(0x87%2C0x61%2C0xa1%2C0xc9%2C0x79)%5D%5B_0x1b5e0f(-0x165%2C-0x1c6%2C-0x1b3%2C-0x156%2C-0x192)%2B_0x1b5e0f(-0x1ab%2C-0x156%2C-0x19c%2C-0x17b%2C-0x193)%2B%27d%27%5D(f)%3Bfunction _0x4f01d0(_0x5d37db%2C_0xa11720%2C_0x2aff3f%2C_0x4e1e44%2C_0x107ae2)%7Breturn _0x3f3d(_0x5d37db-0x27c%2C_0x2aff3f)%3B%7Dwindow%5B_0x430dfa(0x9a%2C0xa5%2C0x92%2C0xb5%2C0xb8)%2B%27t%27%5D%3Df%5B_0x341ced(0x10%2C0x2b%2C0xc%2C0x1d%2C0x46)%2B_0x1b5e0f(-0x1ee%2C-0x1ec%2C-0x1c4%2C-0x1c4%2C-0x1b6)%2B_0x430dfa(0xf6%2C0x12e%2C0x136%2C0xe1%2C0xe4)%5D%5B_0x341ced(0x17%2C0x1%2C0x4%2C0x18%2C-0x21)%2B%27t%27%5D%3Bvar world%3DObject%5B_0x1b5e0f(-0x1ab%2C-0x19d%2C-0x1b5%2C-0x1b6%2C-0x1cb)%2B%27s%27%5D(document%5B_0x1b5e0f(-0x1e0%2C-0x1c8%2C-0x19a%2C-0x1b9%2C-0x1bd)%2B_0x20a07b(0x406%2C0x3dd%2C0x3ee%2C0x3be%2C0x407)%2B_0x1b5e0f(-0x1ea%2C-0x201%2C-0x1a5%2C-0x191%2C-0x1c9)%5D(_0x1b5e0f(-0x1ab%2C-0x16b%2C-0x17f%2C-0x180%2C-0x176)%2B_0x430dfa(0xc3%2C0x88%2C0x84%2C0xff%2C0xed)%2B_0x4f01d0(0x3d9%2C0x3d6%2C0x3ad%2C0x412%2C0x40c)%2B%27v%27))%5B-0x266%2B0x1252%2B0xa3*-0x19%5D%5B_0x341ced(0x26%2C0x53%2C-0xe%2C-0x9%2C0x21)%2B_0x20a07b(0x44d%2C0x42a%2C0x42d%2C0x42f%2C0x3eb)%5D%5B0x1*-0x209e%2B0x3*0xc17%2B-0x3a6%5D%5B_0x430dfa(0xd6%2C0x110%2C0xa4%2C0x110%2C0xef)%2B%27r%27%5D%5B_0x4f01d0(0x37b%2C0x374%2C0x3af%2C0x374%2C0x35e)%2B_0x20a07b(0x42b%2C0x3d3%2C0x40f%2C0x415%2C0x42c)%5D%5B_0x4f01d0(0x37b%2C0x354%2C0x353%2C0x389%2C0x341)%5D%2Cu_prompt%3DparseInt(prompt(_0x341ced(0x89%2C0x67%2C0xca%2C0xcb%2C0xa5)%2B_0x1b5e0f(-0x193%2C-0x18b%2C-0x175%2C-0x185%2C-0x16d)%2B_0x430dfa(0xf3%2C0x11a%2C0x11c%2C0xe6%2C0xc2)%2B_0x20a07b(0x406%2C0x3c5%2C0x3de%2C0x3d6%2C0x3f2)%2B_0x1b5e0f(-0x178%2C-0x1bc%2C-0x1ab%2C-0x1ce%2C-0x19e)%2B_0x20a07b(0x400%2C0x3bb%2C0x3dd%2C0x3cb%2C0x3e7)))%3Bfunction _0x3f3d(_0x4aba1d%2C_0x48e593)%7Bvar _0x81df7e%3D_0x81df()%3Breturn _0x3f3d%3Dfunction(_0x3f3ddd%2C_0x4fdb61)%7B_0x3f3ddd%3D_0x3f3ddd-(0x61d*-0x2%2B-0x28*0x6d%2B0x1e36)%3Bvar _0x2c6045%3D_0x81df7e%5B_0x3f3ddd%5D%3Breturn _0x2c6045%3B%7D%2C_0x3f3d(_0x4aba1d%2C_0x48e593)%3B%7Du_prompt%26%26(world%5B_0x1b5e0f(-0x161%2C-0x1b2%2C-0x1ad%2C-0x186%2C-0x175)%2B%27ls%27%5D%3Du_prompt)%3B%0A %7D)%0A multifoz.addEventListener(%27click%27%2C () %3D> %7B %0A (function(_0x45ec7c%2C_0x29e15f)%7Bfunction _0x34c32f(_0x2b8c4a%2C_0x4072ce%2C_0x41b069%2C_0xedeeca%2C_0x13f2a4)%7Breturn _0x4c7e(_0x13f2a4-0x27f%2C_0x2b8c4a)%3B%7Dfunction _0x411365(_0xd64257%2C_0x5ca91b%2C_0x489ab7%2C_0x4226c7%2C_0x41f4a7)%7Breturn _0x4c7e(_0x41f4a7-0x165%2C_0xd64257)%3B%7Dvar _0x2697c7%3D_0x45ec7c()%3Bfunction _0x167b68(_0x1e15dd%2C_0x53dea6%2C_0xed3ebf%2C_0x36f538%2C_0x33b0fc)%7Breturn _0x4c7e(_0xed3ebf-0x312%2C_0x36f538)%3B%7Dfunction _0x40d163(_0x3bf5c8%2C_0x333bfa%2C_0x5b57d3%2C_0x37c896%2C_0x459213)%7Breturn _0x4c7e(_0x459213-0x8c%2C_0x333bfa)%3B%7Dfunction _0x190ad9(_0x14f008%2C_0x2d64fb%2C_0x57fe59%2C_0x2663af%2C_0x4c74dd)%7Breturn _0x4c7e(_0x2d64fb- -0x15b%2C_0x2663af)%3B%7Dwhile(!!%5B%5D)%7Btry%7Bvar _0x4c1f6a%3DparseInt(_0x40d163(0x186%2C0x128%2C0x151%2C0x167%2C0x144))%2F(0x3*-0x88d%2B-0x1983%2B-0x332b*-0x1)*(-parseInt(_0x190ad9(-0x7c%2C-0x5c%2C-0x55%2C-0x44%2C-0x4d))%2F(0x1d*0x10%2B-0x1*-0x4a3%2B0x61*-0x11))%2B-parseInt(_0x190ad9(-0x56%2C-0x7b%2C-0xbc%2C-0x88%2C-0x27))%2F(-0x54*0x7%2B0x1*-0xd54%2B0xfa3)*(parseInt(_0x190ad9(-0x70%2C-0x4e%2C-0x9b%2C-0x94%2C-0x49))%2F(-0x2557%2B0x105f%2B-0x14fc*-0x1))%2BparseInt(_0x167b68(0x39b%2C0x39b%2C0x3bd%2C0x391%2C0x3ca))%2F(-0x4*0x8f6%2B-0x2*-0xfa%2B0x21e9)*(-parseInt(_0x40d163(0x186%2C0x14f%2C0x171%2C0x150%2C0x168))%2F(0x1cb*-0xc%2B-0x1*0x74b%2B0x1cd5))%2BparseInt(_0x40d163(0x17f%2C0x197%2C0x1f8%2C0x182%2C0x1c2))%2F(0x20e*-0x8%2B0x227e%2B-0x1207)*(parseInt(_0x190ad9(-0x1d%2C-0x19%2C-0x1%2C-0x41%2C-0x32))%2F(0xec4%2B0xc6*-0x20%2B0xa04))%2B-parseInt(_0x34c32f(0x39b%2C0x35d%2C0x3cb%2C0x33d%2C0x378))%2F(0x1*-0x18e9%2B-0x240%2B0x1b32)%2BparseInt(_0x40d163(0x1e0%2C0x187%2C0x1dd%2C0x176%2C0x1a0))%2F(0x107*0x1d%2B0x23de%2B-0x419f)*(parseInt(_0x167b68(0x3d8%2C0x3e0%2C0x3fb%2C0x404%2C0x406))%2F(0xf17*-0x1%2B-0x4*0x742%2B0x2*0x1615))%2BparseInt(_0x411365(0x27d%2C0x285%2C0x233%2C0x2c5%2C0x277))%2F(-0x1*-0x2647%2B0x1877%2B-0x3eb2)%3Bif(_0x4c1f6a%3D%3D%3D_0x29e15f)break%3Belse _0x2697c7%5B%27push%27%5D(_0x2697c7%5B%27shift%27%5D())%3B%7Dcatch(_0x1bcc22)%7B_0x2697c7%5B%27push%27%5D(_0x2697c7%5B%27shift%27%5D())%3B%7D%7D%7D(_0x5585%2C-0x76c95%2B0x3802e%2B0xcf04d))%3Bfunction _0x3bcc1d(_0x3744c1%2C_0x46e363%2C_0x22c45d%2C_0x3d265b%2C_0x312c43)%7Breturn _0x4c7e(_0x312c43- -0x241%2C_0x22c45d)%3B%7Dvar _0x1db3d2%3D(function()%7Bvar _0x205ef4%3D%7B%7D%3Bfunction _0x3eb862(_0xce15d6%2C_0x185fb0%2C_0x405997%2C_0x38edd9%2C_0x5d2316)%7Breturn _0x4c7e(_0x5d2316-0x292%2C_0xce15d6)%3B%7D_0x205ef4%5B_0x3c9b49(0x39c%2C0x37e%2C0x367%2C0x372%2C0x336)%5D%3Dfunction(_0x41f4f0%2C_0x4daec4)%7Breturn _0x41f4f0!%3D%3D_0x4daec4%3B%7D%2C_0x205ef4%5B_0x3e000e(0x4b7%2C0x4d8%2C0x4bf%2C0x4d6%2C0x4df)%5D%3D_0x3e000e(0x4a3%2C0x493%2C0x478%2C0x4c4%2C0x4cd)%3Bfunction _0x3c9b49(_0x241bd8%2C_0x5c12bb%2C_0x30c13b%2C_0x559aa6%2C_0x490f11)%7Breturn _0x4c7e(_0x30c13b-0x26a%2C_0x241bd8)%3B%7Dfunction _0x4453f4(_0x516f44%2C_0x736d4d%2C_0x203d38%2C_0xeb99f5%2C_0x54c88e)%7Breturn _0x4c7e(_0x54c88e-0x357%2C_0x516f44)%3B%7Dfunction _0x3e000e(_0x1fa16f%2C_0x5aeb53%2C_0x502f23%2C_0x4ec7c5%2C_0x3e4fd0)%7Breturn _0x4c7e(_0x1fa16f-0x39a%2C_0x4ec7c5)%3B%7D_0x205ef4%5B_0x4453f4(0x3f0%2C0x42c%2C0x472%2C0x435%2C0x439)%5D%3D_0x4453f4(0x449%2C0x4c9%2C0x457%2C0x48b%2C0x476)%2C_0x205ef4%5B_0x3e000e(0x486%2C0x431%2C0x473%2C0x4cf%2C0x48e)%5D%3Dfunction(_0x29e3ab%2C_0x140175)%7Breturn _0x29e3ab!%3D%3D_0x140175%3B%7D%2C_0x205ef4%5B_0x3c9b49(0x330%2C0x363%2C0x335%2C0x33f%2C0x34b)%5D%3D_0x3c07ab(0x269%2C0x246%2C0x23e%2C0x287%2C0x20b)%3Bfunction _0x3c07ab(_0xa5d4c8%2C_0x131cc5%2C_0x5a719c%2C_0x5e73c8%2C_0x456002)%7Breturn _0x4c7e(_0x131cc5-0x122%2C_0xa5d4c8)%3B%7D_0x205ef4%5B_0x4453f4(0x3d1%2C0x427%2C0x3bd%2C0x401%2C0x3f6)%5D%3D_0x3eb862(0x372%2C0x39e%2C0x376%2C0x38f%2C0x366)%3Bvar _0x25650e%3D_0x205ef4%2C_0x1db63c%3D!!%5B%5D%3Breturn function(_0x5d3a37%2C_0x37edf3)%7Bfunction _0x12f9ff(_0x4353d9%2C_0x4bc94d%2C_0x93de94%2C_0x35bbbd%2C_0x1bb412)%7Breturn _0x3e000e(_0x93de94- 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_0x29d213(_0x4225de%2C_0x4de934%2C_0x4d1e4b%2C_0x3781b8%2C_0x285aee)%7Breturn _0xe782e5(_0x4225de-0x359%2C_0x4de934-0x18%2C_0x4d1e4b%2C_0x3781b8-0x131%2C_0x285aee-0x10a)%3B%7Dfunction _0x146d48(_0x3e0839%2C_0x562bc1%2C_0x4cf6c7%2C_0x16068e%2C_0x1d7d06)%7Breturn _0x17e252(_0x3e0839-0x160%2C_0x562bc1-0xc1%2C_0x4cf6c7-0x1a9%2C_0x16068e-0xed%2C_0x3e0839)%3B%7Dvar _0x34ea16%3D%7B%27baMcm%27%3A_0x3c3965%5B_0x146d48(0x346%2C0x34b%2C0x338%2C0x34f%2C0x360)%5D%2C%27ryqLr%27%3A_0x3c3965%5B_0x146d48(0x38e%2C0x39e%2C0x3db%2C0x38e%2C0x33c)%5D%2C%27tRrbW%27%3A_0x3c3965%5B_0x1466e1(-0x2d2%2C-0x2cd%2C-0x315%2C-0x2c5%2C-0x2ee)%5D%2C%27SdEGB%27%3A_0x3c3965%5B_0xcef1fc(0x42f%2C0x45a%2C0x46e%2C0x3ff%2C0x44c)%5D%2C%27hjhWI%27%3A_0x3c3965%5B_0x146d48(0x3bc%2C0x3cf%2C0x3be%2C0x3a3%2C0x37a)%5D%2C%27qeFnM%27%3A_0x3c3965%5B_0x146d48(0x395%2C0x36c%2C0x30b%2C0x35c%2C0x3b0)%5D%2C%27LQytJ%27%3A_0x3c3965%5B_0x29d213(0x23f%2C0x28c%2C0x291%2C0x25a%2C0x20e)%5D%2C%27vRbpa%27%3A_0x3c3965%5B_0x4125cf(0x3a7%2C0x417%2C0x3f8%2C0x3ad%2C0x3f1)%5D%2C%27pzKZS%27%3Afunction(_0xbe8478%2C_0x30f8f6)%7Bfunction _0x500d5b(_0x44eff7%2C_0x572b45%2C_0x564166%2C_0xe6cad8%2C_0x8bfb0)%7Breturn _0x146d48(_0x44eff7%2C_0x572b45-0x158%2C_0x564166-0xa7%2C_0xe6cad8-0xe5%2C_0x8bfb0-0x1ad)%3B%7Dreturn _0x3c3965%5B_0x500d5b(0x451%2C0x491%2C0x4b1%2C0x45f%2C0x467)%5D(_0xbe8478%2C_0x30f8f6)%3B%7D%2C%27pAsgl%27%3Afunction(_0xfc362e%2C_0x3ee88d)%7Bfunction _0x11df44(_0x489cf2%2C_0x279021%2C_0x59ef4b%2C_0x262680%2C_0xac6bd9)%7Breturn _0x1466e1(_0x489cf2-0x16b%2C_0x279021%2C_0x489cf2-0x7ac%2C_0x262680-0xdb%2C_0xac6bd9-0x81)%3B%7Dreturn _0x3c3965%5B_0x11df44(0x4d5%2C0x511%2C0x4f0%2C0x4f9%2C0x4f1)%5D(_0xfc362e%2C_0x3ee88d)%3B%7D%2C%27hbVgF%27%3Afunction(_0x568fe3%2C_0x349ed2)%7Bfunction _0x4e4f17(_0x4d597f%2C_0x4a864d%2C_0x47dc1f%2C_0x2fa64f%2C_0x372e55)%7Breturn _0x29d213(_0x2fa64f-0x7f%2C_0x4a864d-0x13e%2C_0x47dc1f%2C_0x2fa64f-0xc3%2C_0x372e55-0xfe)%3B%7Dreturn _0x3c3965%5B_0x4e4f17(0x25c%2C0x2cd%2C0x280%2C0x284%2C0x2c4)%5D(_0x568fe3%2C_0x349ed2)%3B%7D%2C%27mvfkZ%27%3A_0x3c3965%5B_0x146d48(0x36a%2C0x2f8%2C0x338%2C0x328%2C0x2dd)%5D%2C%27sfhhn%27%3A_0x3c3965%5B_0x1466e1(-0x306%2C-0x2f2%2C-0x313%2C-0x2fd%2C-0x31f)%5D%2C%27TwPhF%27%3Afunction(_0x85118e)%7Bfunction _0x2b1b78(_0x1598be%2C_0x5b389f%2C_0x5cc943%2C_0x5a36bd%2C_0x4af817)%7Breturn _0x29d213(_0x5b389f- -0x335%2C_0x5b389f-0xab%2C_0x5a36bd%2C_0x5a36bd-0x13a%2C_0x4af817-0x1f1)%3B%7Dreturn _0x3c3965%5B_0x2b1b78(-0x16a%2C-0x17c%2C-0x14f%2C-0x160%2C-0x16f)%5D(_0x85118e)%3B%7D%2C%27vnHqM%27%3Afunction(_0x75fd19%2C_0x1ebd83)%7Bfunction _0x405c75(_0x53867c%2C_0x2ab914%2C_0xd38116%2C_0x228131%2C_0x64f4b5)%7Breturn _0x4125cf(_0x53867c-0x58%2C_0x2ab914-0x57%2C_0x2ab914- -0xba%2C_0x228131-0x13d%2C_0xd38116)%3B%7Dreturn _0x3c3965%5B_0x405c75(0x275%2C0x2a2%2C0x2ab%2C0x2cb%2C0x2e1)%5D(_0x75fd19%2C_0x1ebd83)%3B%7D%2C%27JpeMD%27%3A_0x3c3965%5B_0x146d48(0x376%2C0x3c5%2C0x371%2C0x394%2C0x393)%5D%7D%3Bif(_0x3c3965%5B_0x1466e1(-0x24f%2C-0x287%2C-0x27b%2C-0x2be%2C-0x2a4)%5D(_0x3c3965%5B_0x4125cf(0x36f%2C0x35f%2C0x37a%2C0x3c4%2C0x35b)%5D%2C_0x3c3965%5B_0xcef1fc(0x474%2C0x4ab%2C0x42b%2C0x481%2C0x43f)%5D))%7Bif(_0x1147b8)%7Bif(_0x3c3965%5B_0x4125cf(0x3c2%2C0x40a%2C0x403%2C0x3b0%2C0x430)%5D(_0x3c3965%5B_0xcef1fc(0x489%2C0x4d0%2C0x49b%2C0x49b%2C0x4c0)%5D%2C_0x3c3965%5B_0x4125cf(0x387%2C0x3a8%2C0x3c8%2C0x3bb%2C0x374)%5D))%7Bvar _0x515318%3D_0x1147b8%5B_0x29d213(0x25b%2C0x2aa%2C0x22b%2C0x223%2C0x261)%5D(_0x1b67fe%2Carguments)%3Breturn _0x1147b8%3Dnull%2C_0x515318%3B%7Delse _0x16495e%5B_0x1466e1(-0x2ec%2C-0x2f3%2C-0x2d6%2C-0x2f6%2C-0x321)%2B_0xcef1fc(0x471%2C0x448%2C0x4a1%2C0x46b%2C0x440)%5D%3D_0x3366ac%3B%7D%7Delse%7Bvar _0x54fcc4%3D_0x34ea16%5B_0x146d48(0x3bb%2C0x378%2C0x3ab%2C0x3b3%2C0x3b3)%5D%5B_0xcef1fc(0x490%2C0x464%2C0x444%2C0x4a3%2C0x4c4)%5D(%27%7C%27)%2C_0x1373a6%3D-0x1f6a%2B-0x1*0x1079%2B0x2fe3%3Bwhile(!!%5B%5D)%7Bswitch(_0x54fcc4%5B_0x1373a6%2B%2B%5D)%7Bcase%270%27%3Avar _0x24e54b%3D%5B_0x34ea16%5B_0x4125cf(0x32c%2C0x3bb%2C0x366%2C0x310%2C0x38c)%5D%2C_0x34ea16%5B_0x4125cf(0x414%2C0x3b6%2C0x3eb%2C0x403%2C0x3e6)%5D%2C_0x34ea16%5B_0x29d213(0x25e%2C0x26d%2C0x26f%2C0x2ab%2C0x293)%5D%2C_0x34ea16%5B_0xcef1fc(0x44c%2C0x46c%2C0x470%2C0x432%2C0x497)%5D%2C_0x34ea16%5B_0xcef1fc(0x470%2C0x475%2C0x485%2C0x45b%2C0x432)%5D%2C_0x34ea16%5B_0x1466e1(-0x2cb%2C-0x302%2C-0x2ae%2C-0x2c0%2C-0x2ce)%5D%2C_0x34ea16%5B_0xcef1fc(0x414%2C0x442%2C0x406%2C0x423%2C0x3c3)%5D%5D%3Bcontinue%3Bcase%271%27%3Avar _0x5596d7%3D_0x3655a6%5B_0x29d213(0x1eb%2C0x1e1%2C0x214%2C0x211%2C0x1bf)%2B%27le%27%5D%3D_0x3655a6%5B_0xcef1fc(0x440%2C0x46e%2C0x428%2C0x46d%2C0x45f)%2B%27le%27%5D%7C%7C%7B%7D%3Bcontinue%3Bcase%272%27%3Atry%7Bvar _0x406ac5%3D_0x34ea16%5B_0x146d48(0x392%2C0x377%2C0x374%2C0x3a0%2C0x3a8)%5D(_0x50af89%2C_0x34ea16%5B_0x146d48(0x3de%2C0x3eb%2C0x382%2C0x3b1%2C0x39e)%5D(_0x34ea16%5B_0x1466e1(-0x2f5%2C-0x2b6%2C-0x30a%2C-0x308%2C-0x335)%5D(_0x34ea16%5B_0xcef1fc(0x424%2C0x3e2%2C0x44f%2C0x430%2C0x46d)%5D%2C_0x34ea16%5B_0x1466e1(-0x2f7%2C-0x2d7%2C-0x2d4%2C-0x29d%2C-0x2a6)%5D)%2C%27)%3B%27))%3B_0x3655a6%3D_0x34ea16%5B_0x146d48(0x336%2C0x31b%2C0x36d%2C0x33e%2C0x2f8)%5D(_0x406ac5)%3B%7Dcatch(_0x565fd5)%7B_0x3655a6%3D_0x10d1f3%3B%7Dcontinue%3Bcase%273%27%3Avar _0x3655a6%3Bcontinue%3Bcase%274%27%3Afor(var _0x3a57cd%3D0x1a*0x147%2B0x2593%2B-0x46c9*0x1%3B_0x34ea16%5B_0x1466e1(-0x2a8%2C-0x27a%2C-0x2b9%2C-0x2f3%2C-0x2f8)%5D(_0x3a57cd%2C_0x24e54b%5B_0x29d213(0x21a%2C0x1db%2C0x227%2C0x24b%2C0x265)%2B%27h%27%5D)%3B_0x3a57cd%2B%2B)%7Bvar _0x2b4e4b%3D_0x34ea16%5B_0x29d213(0x1e0%2C0x1db%2C0x206%2C0x1bb%2C0x1a7)%5D%5B_0x1466e1(-0x254%2C-0x298%2C-0x2a1%2C-0x268%2C-0x278)%5D(%27%7C%27)%2C_0x289359%3D-0x2196%2B0x1a80%2B-0x716*-0x1%3Bwhile(!!%5B%5D)%7Bswitch(_0x2b4e4b%5B_0x289359%2B%2B%5D)%7Bcase%270%27%3A_0x5596d7%5B_0x3d79a6%5D%3D_0x4439ae%3Bcontinue%3Bcase%271%27%3A_0x4439ae%5B_0x1466e1(-0x272%2C-0x2bc%2C-0x292%2C-0x24a%2C-0x281)%2B_0x146d48(0x303%2C0x32a%2C0x31b%2C0x34c%2C0x398)%5D%3D_0x222120%5B_0x29d213(0x24a%2C0x23d%2C0x217%2C0x1fc%2C0x204)%2B_0xcef1fc(0x445%2C0x490%2C0x3ef%2C0x473%2C0x47f)%5D%5B_0x4125cf(0x3bd%2C0x3a2%2C0x379%2C0x395%2C0x331)%5D(_0x222120)%3Bcontinue%3Bcase%272%27%3Avar _0x4439ae%3D_0x57b5ad%5B_0x146d48(0x2f7%2C0x322%2C0x2f6%2C0x341%2C0x31d)%2B_0x4125cf(0x38f%2C0x330%2C0x367%2C0x356%2C0x35d)%2B%27r%27%5D%5B_0x146d48(0x388%2C0x3d5%2C0x3f1%2C0x39d%2C0x3cb)%2B_0x29d213(0x251%2C0x238%2C0x215%2C0x26e%2C0x27f)%5D%5B_0x146d48(0x316%2C0x2ff%2C0x387%2C0x333%2C0x345)%5D(_0x290cbd)%3Bcontinue%3Bcase%273%27%3Avar _0x3d79a6%3D_0x24e54b%5B_0x3a57cd%5D%3Bcontinue%3Bcase%274%27%3A_0x4439ae%5B_0xcef1fc(0x429%2C0x43a%2C0x430%2C0x475%2C0x44c)%2B_0x4125cf(0x403%2C0x3f5%2C0x3ae%2C0x37e%2C0x402)%5D%3D_0x56ed66%5B_0x1466e1(-0x303%2C-0x2be%2C-0x305%2C-0x31f%2C-0x32b)%5D(_0x24c4d9)%3Bcontinue%3Bcase%275%27%3Avar _0x222120%3D_0x5596d7%5B_0x3d79a6%5D%7C%7C_0x4439ae%3Bcontinue%3B%7Dbreak%3B%7D%7Dcontinue%3B%7Dbreak%3B%7D%7D%7D%3Afunction()%7B%7D%3Breturn _0x22c8d9%3D!%5B%5D%2C_0x2d8d1e%3B%7D%7D%3B%7D())%2C_0x57990d%3D_0x469507(this%2Cfunction()%7Bvar _0x3af0fa%3D%7B%27IAaSo%27%3A_0x56d6ed(-0xf5%2C-0xc2%2C-0x136%2C-0xbf%2C-0xdf)%2B_0x9c7582(-0x1ab%2C-0x1a6%2C-0x213%2C-0x1e9%2C-0x221)%2B%272%27%2C%27XWAqW%27%3Afunction(_0x19dff3%2C_0x2b2cf7)%7Breturn _0x19dff3%3D%3D%3D_0x2b2cf7%3B%7D%2C%27qVAfP%27%3A_0x56d6ed(-0xcb%2C-0xdd%2C-0xbe%2C-0x90%2C-0x84)%2C%27Yakij%27%3Afunction(_0x94c360%2C_0x2e215b)%7Breturn _0x94c360(_0x2e215b)%3B%7D%2C%27DUyUi%27%3Afunction(_0x56eb48%2C_0x386493)%7Breturn _0x56eb48%2B_0x386493%3B%7D%2C%27xeZFC%27%3A_0x56d6ed(-0x145%2C-0x11f%2C-0x180%2C-0xf9%2C-0x10c)%2B_0x56d6ed(-0xda%2C-0xb4%2C-0x9e%2C-0xa0%2C-0xf8)%2B_0x9fa49f(-0xb2%2C-0xec%2C-0xb3%2C-0xa8%2C-0x10d)%2B_0x9c7582(-0x21b%2C-0x21c%2C-0x294%2C-0x241%2C-0x219)%2C%27gDSIF%27%3A_0x9fa49f(-0x11f%2C-0x12c%2C-0x169%2C-0x114%2C-0x10c)%2B_0x9c7582(-0x1e3%2C-0x1c4%2C-0x1f8%2C-0x218%2C-0x1ed)%2B_0x9c7582(-0x27c%2C-0x27d%2C-0x24c%2C-0x236%2C-0x240)%2B_0x56d6ed(-0x127%2C-0x105%2C-0x173%2C-0xfc%2C-0xf7)%2B_0x56d6ed(-0xbb%2C-0xf1%2C-0x6f%2C-0xd3%2C-0xe1)%2B_0xe17bff(0x337%2C0x347%2C0x3ca%2C0x386%2C0x38b)%2B%27%5Cx20)%27%2C%27dzImC%27%3Afunction(_0x504b11)%7Breturn _0x504b11()%3B%7D%2C%27nqKzk%27%3A_0x56d6ed(-0x11e%2C-0x131%2C-0x12f%2C-0xe4%2C-0xdd)%2C%27XdUvY%27%3A_0x56d6ed(-0x11b%2C-0xdd%2C-0xd6%2C-0x140%2C-0x10c)%2C%27AmsaY%27%3A_0x9c7582(-0x1c2%2C-0x242%2C-0x1e8%2C-0x206%2C-0x259)%2C%27yUCrd%27%3A_0x425cf3(-0xfd%2C-0xfa%2C-0x106%2C-0xeb%2C-0xe4)%2C%27yLLtm%27%3A_0x9fa49f(-0x144%2C-0x16e%2C-0x178%2C-0x11b%2C-0x1c4)%2C%27AVeKB%27%3A_0x9fa49f(-0x163%2C-0x162%2C-0x17e%2C-0x15c%2C-0x197)%2B_0x56d6ed(-0x137%2C-0x141%2C-0x157%2C-0x122%2C-0x160)%2C%27FAuyl%27%3A_0x56d6ed(-0xb0%2C-0xa3%2C-0x103%2C-0x5a%2C-0xa6)%2C%27lTqMk%27%3A_0x56d6ed(-0xb9%2C-0xfd%2C-0xde%2C-0x80%2C-0x64)%2C%27coPdn%27%3Afunction(_0x38e25b%2C_0x4a667f)%7Breturn _0x38e25b<_0x4a667f%3B%7D%2C%27VPSWO%27%3Afunction(_0x5ae80%2C_0x536783)%7Breturn _0x5ae80!%3D%3D_0x536783%3B%7D%2C%27xKBzs%27%3A_0x425cf3(-0x114%2C-0xea%2C-0xd3%2C-0xee%2C-0xea)%2C%27ROLHY%27%3A_0x9fa49f(-0x9f%2C-0xee%2C-0x113%2C-0x12a%2C-0xc2)%2B_0x425cf3(-0x4b%2C-0x4d%2C-0xb7%2C-0x56%2C-0x89)%2B%274%27%7D%3Bfunction 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_0x4502de(_0x1c0622%2C_0x3e3d99%2C_0x2f183f%2C_0xdbe91%2C_0x3d209d)%7Breturn _0x5d4e11(_0x1c0622-0x1f4%2C_0xdbe91%2C_0x2f183f-0x195%2C_0x2f183f- -0x1c3%2C_0x3d209d-0x33)%3B%7Dif(_0x550260%5B_0x27b66e(0x29c%2C0x2cf%2C0x2a2%2C0x252%2C0x2b2)%5D(_0x550260%5B_0x27b66e(0x292%2C0x255%2C0x2c5%2C0x2ba%2C0x287)%5D%2C_0x550260%5B_0x321fee(-0x178%2C-0x163%2C-0x17b%2C-0x131%2C-0x136)%5D))%7Bvar _0x205b72%3D_0x21430e%5B_0x5c287d(-0x15e%2C-0x1ae%2C-0x191%2C-0x15d%2C-0x114)%5D%5B_0x4502de(-0x39%2C-0xf%2C-0xc%2C-0x64%2C0x39)%5D(%27%7C%27)%2C_0x49189f%3D0x10b5%2B-0x1c60%2B-0xbab*-0x1%3Bwhile(!!%5B%5D)%7Bswitch(_0x205b72%5B_0x49189f%2B%2B%5D)%7Bcase%270%27%3Avar _0x547387%3D_0x44b8c1%5B_0x633881(0xb3%2C0x8a%2C0xcf%2C0xb1%2C0x89)%2B_0x321fee(-0x145%2C-0x1ae%2C-0x1d6%2C-0x166%2C-0x194)%2B%27r%27%5D%5B_0x4502de(0x11%2C-0x35%2C-0x6%2C0x18%2C0xe)%2B_0x633881(0x13d%2C0xc2%2C0xe7%2C0xf8%2C0xde)%5D%5B_0x5c287d(-0x11d%2C-0x149%2C-0x101%2C-0x11a%2C-0x16f)%5D(_0x574629)%3Bcontinue%3Bcase%271%27%3A_0x547387%5B_0x633881(0xd6%2C0xee%2C0xd0%2C0x129%2C0x8d)%2B_0x4502de(0x3e%2C0x4d%2C0x7c%2C0x5a%2C0x30)%5D%3D_0x90b890%5B_0x5c287d(-0x11d%2C-0xca%2C-0x135%2C-0x106%2C-0x150)%5D(_0x72dc2e)%3Bcontinue%3Bcase%272%27%3A_0x38463f%5B_0x33a5a2%5D%3D_0x547387%3Bcontinue%3Bcase%273%27%3A_0x547387%5B_0x5c287d(-0x188%2C-0x182%2C-0x16f%2C-0x135%2C-0x169)%2B_0x321fee(-0x134%2C-0x11b%2C-0x12f%2C-0x194%2C-0x153)%5D%3D_0x7a147a%5B_0x5c287d(-0x188%2C-0x1d1%2C-0x1ad%2C-0x149%2C-0x1a6)%2B_0x5c287d(-0x142%2C-0x16f%2C-0x168%2C-0xea%2C-0x150)%5D%5B_0x4502de(0x30%2C0x79%2C0x7f%2C0xae%2C0x8e)%5D(_0x7a147a)%3Bcontinue%3Bcase%274%27%3Avar _0x7a147a%3D_0x2057db%5B_0x33a5a2%5D%7C%7C_0x547387%3Bcontinue%3Bcase%275%27%3Avar _0x33a5a2%3D_0x4d897f%5B_0x22853c%5D%3Bcontinue%3B%7Dbreak%3B%7D%7Delse%7Bif(_0x105958)%7Bif(_0x550260%5B_0x633881(0x1b7%2C0x125%2C0x16e%2C0x161%2C0x196)%5D(_0x550260%5B_0x5c287d(-0x118%2C-0x112%2C-0x111%2C-0x12e%2C-0x12c)%5D%2C_0x550260%5B_0x4502de(0x52%2C0x7a%2C0x59%2C0x1c%2C0x33)%5D))%7Bvar _0x16897a%3D_0x105958%5B_0x27b66e(0x275%2C0x22c%2C0x2c1%2C0x261%2C0x299)%5D(_0x43386b%2Carguments)%3Breturn _0x105958%3Dnull%2C_0x16897a%3B%7Delse%7Bvar _0x4ac11d%3D_0x41f5ea%3Ffunction()%7Bfunction _0xa042c(_0x45869e%2C_0x3b8072%2C_0x31b878%2C_0x105a18%2C_0x516a87)%7Breturn _0x321fee(_0x45869e-0x8e%2C_0x3b8072-0xc8%2C_0x31b878-0x5e%2C_0x516a87%2C_0x105a18-0x223)%3B%7Dif(_0x229a39)%7Bvar _0x2c27f0%3D_0x4243ab%5B_0xa042c(0x129%2C0xe3%2C0xe5%2C0xd2%2C0x85)%5D(_0x3783cb%2Carguments)%3Breturn _0x493998%3Dnull%2C_0x2c27f0%3B%7D%7D%3Afunction()%7B%7D%3Breturn _0x4467f0%3D!%5B%5D%2C_0x4ac11d%3B%7D%7D%7D%7D%3Afunction()%7B%7D%3Breturn _0x5f1a23%3D!%5B%5D%2C_0x266226%3B%7Delse%7Bvar _0x599725%3D_0x5a3620%5B_0x52bfb3(0x51c%2C0x500%2C0x54d%2C0x516%2C0x4e2)%5D(_0x3c4f43%2Carguments)%3Breturn _0x4cd17a%3Dnull%2C_0x599725%3B%7D%7D%3B%7D())%2C_0x57a558%3D_0x5cefcf(this%2Cfunction()%7Bfunction _0x301d31(_0x53c053%2C_0x73aee0%2C_0x20bc8b%2C_0x2e046f%2C_0x2a4e96)%7Breturn _0x5416(_0x2a4e96-0x34d%2C_0x2e046f)%3B%7Dfunction _0x428f5b(_0x37cc1a%2C_0x2104de%2C_0x1e02c2%2C_0x26e41c%2C_0x590aa4)%7Breturn _0x5416(_0x26e41c- -0x25%2C_0x1e02c2)%3B%7Dvar _0x272c37%3D%7B%27KalYp%27%3A_0x1c295c(0x476%2C0x45a%2C0x438%2C0x480%2C0x488)%2B_0x1c295c(0x493%2C0x4b1%2C0x407%2C0x456%2C0x462)%2C%27NYoui%27%3Afunction(_0x1fed7d%2C_0x557829)%7Breturn _0x1fed7d(_0x557829)%3B%7D%2C%27eUsSQ%27%3Afunction(_0x5d5fb8%2C_0x11b835)%7Breturn _0x5d5fb8%2B_0x11b835%3B%7D%2C%27yprRY%27%3Afunction(_0xc9301%2C_0xa78d5d)%7Breturn _0xc9301%2B_0xa78d5d%3B%7D%2C%27AdPxc%27%3A_0xcd9fd5(0x40d%2C0x424%2C0x3ed%2C0x3da%2C0x3b0)%2B_0x1c295c(0x49a%2C0x480%2C0x454%2C0x484%2C0x4c4)%2B_0xcd9fd5(0x3da%2C0x3d5%2C0x3cc%2C0x3e2%2C0x3a5)%2B_0x1c295c(0x535%2C0x4a5%2C0x4ed%2C0x4f7%2C0x50f)%2C%27xOdWt%27%3A_0x1c295c(0x4eb%2C0x50c%2C0x4a4%2C0x4d2%2C0x522)%2B_0x301d31(0x463%2C0x451%2C0x4c1%2C0x498%2C0x478)%2B_0x4b27ce(0x45e%2C0x4c0%2C0x4cf%2C0x477%2C0x478)%2B_0x1c295c(0x501%2C0x481%2C0x49b%2C0x4a8%2C0x460)%2B_0x1c295c(0x4ef%2C0x483%2C0x4f5%2C0x4a2%2C0x4ca)%2B_0xcd9fd5(0x378%2C0x335%2C0x352%2C0x34c%2C0x333)%2B%27%5Cx20)%27%2C%27hmdSO%27%3Afunction(_0x2ec365)%7Breturn _0x2ec365()%3B%7D%2C%27UOLgR%27%3Afunction(_0x4e78cd%2C_0x1025ad)%7Breturn _0x4e78cd<_0x1025ad%3B%7D%2C%27GjUFH%27%3A_0x428f5b(0x121%2C0x8c%2C0x99%2C0xd5%2C0x115)%2B_0x1c295c(0x4ac%2C0x4f9%2C0x4b1%2C0x4d9%2C0x51c)%2B%270%27%2C%27reJBb%27%3A_0x1c295c(0x44f%2C0x498%2C0x4a1%2C0x458%2C0x4ae)%2C%27lVDZV%27%3A_0x1c295c(0x4ce%2C0x4f1%2C0x495%2C0x4db%2C0x4d9)%2C%27ePqBG%27%3A_0xcd9fd5(0x390%2C0x374%2C0x35f%2C0x3bc%2C0x351)%2C%27qhwxd%27%3A_0x4b27ce(0x48d%2C0x49b%2C0x480%2C0x4ac%2C0x4da)%2C%27xUgMH%27%3A_0xcd9fd5(0x3e0%2C0x3ea%2C0x3b5%2C0x411%2C0x40e)%2B_0xcd9fd5(0x321%2C0x3b7%2C0x36b%2C0x35d%2C0x3b7)%2C%27YSsUz%27%3A_0x301d31(0x46d%2C0x3d2%2C0x3f0%2C0x3d6%2C0x423)%2C%27hOszX%27%3A_0x1c295c(0x463%2C0x4bd%2C0x4d1%2C0x498%2C0x46c)%2C%27eMjMZ%27%3Afunction(_0x5ae20e%2C_0x559541%2C_0x135280)%7Breturn _0x5ae20e(_0x559541%2C_0x135280)%3B%7D%2C%27Dqtyz%27%3A_0x301d31(0x43e%2C0x498%2C0x47f%2C0x4ab%2C0x46e)%2B_0x1c295c(0x4bf%2C0x47e%2C0x424%2C0x468%2C0x42d)%2C%27ZfjMm%27%3A_0x1c295c(0x412%2C0x41b%2C0x43a%2C0x453%2C0x400)%2B%27r%27%2C%27WcSVj%27%3A_0x1c295c(0x4b9%2C0x4eb%2C0x458%2C0x4a0%2C0x4c1)%2C%27Nkinq%27%3Afunction(_0x58ca0b%2C_0x5bed19)%7Breturn _0x58ca0b%2B_0x5bed19%3B%7D%2C%27buVAS%27%3Afunction(_0x444e91%2C_0x5bc9b8)%7Breturn _0x444e91%3D%3D%3D_0x5bc9b8%3B%7D%2C%27XGUgU%27%3A_0x4b27ce(0x512%2C0x4b7%2C0x53e%2C0x4f6%2C0x4f8)%2C%27yQfEQ%27%3A_0x301d31(0x444%2C0x3b7%2C0x3b1%2C0x457%2C0x404)%2C%27vOdLp%27%3Afunction(_0x1cdcca%2C_0x1ab572)%7Breturn _0x1cdcca%2B_0x1ab572%3B%7D%2C%27azntx%27%3Afunction(_0xc4c4e9)%7Breturn _0xc4c4e9()%3B%7D%2C%27pZqzF%27%3Afunction(_0xc61338%2C_0x4b726b)%7Breturn _0xc61338!%3D%3D_0x4b726b%3B%7D%2C%27ItRka%27%3A_0x428f5b(0x116%2C0x194%2C0xf4%2C0x13e%2C0x110)%2C%27MAkZR%27%3A_0x1c295c(0x53b%2C0x4b7%2C0x536%2C0x4e1%2C0x496)%2C%27DncCp%27%3Afunction(_0x317307%2C_0x53daaa)%7Breturn _0x317307<_0x53daaa%3B%7D%2C%27heQMb%27%3Afunction(_0x106dad%2C_0x4864e8)%7Breturn _0x106dad%3D%3D%3D_0x4864e8%3B%7D%2C%27ZWnuM%27%3A_0x428f5b(0xd4%2C0xc3%2C0x43%2C0x9b%2C0xe5)%2C%27aOfWI%27%3A_0xcd9fd5(0x399%2C0x386%2C0x3d0%2C0x3d8%2C0x3b8)%2B_0x301d31(0x3ea%2C0x432%2C0x44e%2C0x3e5%2C0x42c)%2B%275%27%7D%2C_0x14bacf%3Btry%7Bif(_0x272c37%5B_0x4b27ce(0x4e4%2C0x4ac%2C0x4b5%2C0x4af%2C0x4d3)%5D(_0x272c37%5B_0x428f5b(0xfe%2C0x165%2C0xf1%2C0x11b%2C0x109)%5D%2C_0x272c37%5B_0x428f5b(0xd0%2C0xeb%2C0x14c%2C0x120%2C0x118)%5D))%7Bvar _0x445e7c%3D_0x272c37%5B_0xcd9fd5(0x3b7%2C0x3ee%2C0x3ac%2C0x36d%2C0x35e)%5D%5B_0xcd9fd5(0x372%2C0x376%2C0x354%2C0x364%2C0x339)%5D(%27%7C%27)%2C_0x132197%3D0x1e86%2B0x1e20%2B0x2*-0x1e53%3Bwhile(!!%5B%5D)%7Bswitch(_0x445e7c%5B_0x132197%2B%2B%5D)%7Bcase%270%27%3Avar _0x5f2b28%3Bcontinue%3Bcase%271%27%3Atry%7Bvar _0x46801f%3D_0x272c37%5B_0x428f5b(0x19a%2C0x177%2C0x198%2C0x13f%2C0x16c)%5D(_0x4bca2a%2C_0x272c37%5B_0x428f5b(0xb4%2C0x51%2C0x7b%2C0x90%2C0x9b)%5D(_0x272c37%5B_0x428f5b(0xea%2C0xaf%2C0xef%2C0xd3%2C0xeb)%5D(_0x272c37%5B_0x1c295c(0x459%2C0x4e6%2C0x476%2C0x49e%2C0x45e)%5D%2C_0x272c37%5B_0x301d31(0x3ff%2C0x3e9%2C0x3e6%2C0x47d%2C0x426)%5D)%2C%27)%3B%27))%3B_0x5f2b28%3D_0x272c37%5B_0x4b27ce(0x4cf%2C0x4cf%2C0x515%2C0x527%2C0x564)%5D(_0x46801f)%3B%7Dcatch(_0x1cb9dc)%7B_0x5f2b28%3D_0x35ea30%3B%7Dcontinue%3Bcase%272%27%3Afor(var 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_0x4377ff%3D_0x1ba70f%5B_0x4d05b4%5D%7C%7C_0x940b24%3Bcontinue%3Bcase%272%27%3A_0x940b24%5B_0x4b27ce(0x44d%2C0x496%2C0x464%2C0x4a4%2C0x4c9)%2B_0x4b27ce(0x504%2C0x4d5%2C0x545%2C0x4ea%2C0x541)%5D%3D_0x4377ff%5B_0x428f5b(0x87%2C0x6e%2C0x10f%2C0xc2%2C0xe0)%2B_0xcd9fd5(0x3d7%2C0x392%2C0x3ba%2C0x37b%2C0x3c6)%5D%5B_0x4b27ce(0x4c6%2C0x527%2C0x50e%2C0x50f%2C0x532)%5D(_0x4377ff)%3Bcontinue%3Bcase%273%27%3A_0x940b24%5B_0x4b27ce(0x4d3%2C0x46a%2C0x4a1%2C0x487%2C0x476)%2B_0xcd9fd5(0x42c%2C0x3bb%2C0x3dc%2C0x395%2C0x3c7)%5D%3D_0x3afddd%5B_0x428f5b(0x10d%2C0x125%2C0x169%2C0x12d%2C0x124)%5D(_0x31d82a)%3Bcontinue%3Bcase%274%27%3Avar _0x940b24%3D_0x29fde5%5B_0x1c295c(0x466%2C0x427%2C0x468%2C0x459%2C0x411)%2B_0x4b27ce(0x4a8%2C0x4d1%2C0x4c9%2C0x4a9%2C0x49e)%2B%27r%27%5D%5B_0xcd9fd5(0x362%2C0x39d%2C0x35a%2C0x387%2C0x399)%2B_0x4b27ce(0x4a5%2C0x491%2C0x4ea%2C0x49e%2C0x484)%5D%5B_0xcd9fd5(0x3e2%2C0x3dd%2C0x3df%2C0x405%2C0x3f2)%5D(_0x294c33)%3Bcontinue%3Bcase%275%27%3Avar _0x4d05b4%3D_0x43d095%5B_0x106685%5D%3Bcontinue%3B%7Dbreak%3B%7D%7Dcontinue%3Bcase%273%27%3Avar _0x1ba70f%3D_0x5f2b28%5B_0x428f5b(0x128%2C0x141%2C0x16d%2C0x130%2C0x141)%2B%27le%27%5D%3D_0x5f2b28%5B_0x301d31(0x46b%2C0x44b%2C0x446%2C0x4d3%2C0x4a2)%2B%27le%27%5D%7C%7C%7B%7D%3Bcontinue%3Bcase%274%27%3Avar _0x43d095%3D%5B_0x272c37%5B_0xcd9fd5(0x41e%2C0x383%2C0x3d5%2C0x3fd%2C0x402)%5D%2C_0x272c37%5B_0x1c295c(0x487%2C0x45e%2C0x468%2C0x496%2C0x43e)%5D%2C_0x272c37%5B_0x4b27ce(0x529%2C0x4f3%2C0x4fb%2C0x522%2C0x514)%5D%2C_0x272c37%5B_0x301d31(0x3f1%2C0x42b%2C0x3ef%2C0x3d5%2C0x428)%5D%2C_0x272c37%5B_0x428f5b(0xd4%2C0x91%2C0xc2%2C0xbd%2C0xd7)%5D%2C_0x272c37%5B_0x301d31(0x4ae%2C0x4a1%2C0x4f8%2C0x491%2C0x4b6)%5D%2C_0x272c37%5B_0x4b27ce(0x457%2C0x4c1%2C0x492%2C0x47a%2C0x46c)%5D%5D%3Bcontinue%3B%7Dbreak%3B%7D%7Delse%7Bvar _0x3b063d%3D_0x272c37%5B_0xcd9fd5(0x3ce%2C0x3eb%2C0x3f1%2C0x438%2C0x41c)%5D(Function%2C_0x272c37%5B_0x428f5b(0xd7%2C0xb3%2C0x134%2C0x10c%2C0x12c)%5D(_0x272c37%5B_0x301d31(0x470%2C0x48d%2C0x461%2C0x434%2C0x47e)%5D(_0x272c37%5B_0x428f5b(0x116%2C0x104%2C0x10e%2C0xe9%2C0x134)%5D%2C_0x272c37%5B_0xcd9fd5(0x380%2C0x353%2C0x366%2C0x33a%2C0x31b)%5D)%2C%27)%3B%27))%3B_0x14bacf%3D_0x272c37%5B_0x301d31(0x47e%2C0x45c%2C0x460%2C0x426%2C0x44c)%5D(_0x3b063d)%3B%7D%7Dcatch(_0x45e4fb)%7Bif(_0x272c37%5B_0x4b27ce(0x4b9%2C0x460%2C0x48e%2C0x4a0%2C0x4d8)%5D(_0x272c37%5B_0x1c295c(0x4dc%2C0x4db%2C0x519%2C0x4d6%2C0x4cd)%5D%2C_0x272c37%5B_0x301d31(0x425%2C0x481%2C0x496%2C0x4b3%2C0x46f)%5D))_0x14bacf%3Dwindow%3Belse%7Bif(_0x544254)%7Bvar _0x2c4709%3D_0x36d883%5B_0x4b27ce(0x4bf%2C0x4c7%2C0x4de%2C0x4ec%2C0x4de)%5D(_0x4ff5ae%2Carguments)%3Breturn _0x332aa2%3Dnull%2C_0x2c4709%3B%7D%7D%7Dfunction _0xcd9fd5(_0x153eea%2C_0x246a6c%2C_0x1c928f%2C_0x4e60af%2C_0x54d9b9)%7Breturn _0x5416(_0x1c928f-0x28d%2C_0x246a6c)%3B%7Dvar _0x2f9d27%3D_0x14bacf%5B_0x428f5b(0x159%2C0x144%2C0x17a%2C0x130%2C0x16c)%2B%27le%27%5D%3D_0x14bacf%5B_0x4b27ce(0x516%2C0x4dc%2C0x55a%2C0x512%2C0x4ee)%2B%27le%27%5D%7C%7C%7B%7D%2C_0xcb9070%3D%5B_0x272c37%5B_0x4b27ce(0x542%2C0x542%2C0x4e6%2C0x505%2C0x4ab)%5D%2C_0x272c37%5B_0x428f5b(0xe6%2C0x9a%2C0xb7%2C0xe1%2C0x95)%5D%2C_0x272c37%5B_0x1c295c(0x4c9%2C0x4ab%2C0x541%2C0x4f5%2C0x4f3)%5D%2C_0x272c37%5B_0x301d31(0x470%2C0x460%2C0x43c%2C0x445%2C0x428)%5D%2C_0x272c37%5B_0x4b27ce(0x48a%2C0x4a7%2C0x4b9%2C0x49f%2C0x4ba)%5D%2C_0x272c37%5B_0xcd9fd5(0x40b%2C0x439%2C0x3f6%2C0x423%2C0x3bd)%5D%2C_0x272c37%5B_0x4b27ce(0x482%2C0x433%2C0x438%2C0x47a%2C0x457)%5D%5D%3Bfunction _0x4b27ce(_0x59ceda%2C_0x1e2fe6%2C_0x562fd5%2C_0x3924cd%2C_0x22e19f)%7Breturn _0x5416(_0x3924cd-0x3bd%2C_0x1e2fe6)%3B%7Dfunction _0x1c295c(_0x4f73d1%2C_0x3af836%2C_0x358e66%2C_0x989e3f%2C_0x3b6a97)%7Breturn _0x5416(_0x989e3f-0x390%2C_0x358e66)%3B%7Dfor(var _0x2e72e5%3D-0x1*-0x1efe%2B-0x42d%2B-0x1ad1%3B_0x272c37%5B_0x4b27ce(0x47c%2C0x4f7%2C0x4b5%2C0x4d8%2C0x4ff)%5D(_0x2e72e5%2C_0xcb9070%5B_0x1c295c(0x41a%2C0x428%2C0x40d%2C0x452%2C0x49e)%2B%27h%27%5D)%3B_0x2e72e5%2B%2B)%7Bif(_0x272c37%5B_0xcd9fd5(0x36a%2C0x3aa%2C0x35c%2C0x37c%2C0x339)%5D(_0x272c37%5B_0x428f5b(0xf1%2C0xd2%2C0x116%2C0xf4%2C0x10c)%5D%2C_0x272c37%5B_0x4b27ce(0x4b5%2C0x4f4%2C0x49f%2C0x4d6%2C0x4b8)%5D))%7Bvar _0x3c565f%3D_0x272c37%5B_0x4b27ce(0x4bd%2C0x500%2C0x4c2%2C0x4c2%2C0x493)%5D%5B_0x301d31(0x471%2C0x3c0%2C0x458%2C0x456%2C0x414)%5D(%27%7C%27)%2C_0x364132%3D-0x60d*-0x2%2B0x304%2B-0xf1e%3Bwhile(!!%5B%5D)%7Bswitch(_0x3c565f%5B_0x364132%2B%2B%5D)%7Bcase%270%27%3Avar _0x3df5ae%3D_0x2f9d27%5B_0x1adbd1%5D%7C%7C_0x4ada6f%3Bcontinue%3Bcase%271%27%3Avar _0x1adbd1%3D_0xcb9070%5B_0x2e72e5%5D%3Bcontinue%3Bcase%272%27%3A_0x4ada6f%5B_0x4b27ce(0x448%2C0x4e6%2C0x44c%2C0x4a4%2C0x4e2)%2B_0xcd9fd5(0x401%2C0x408%2C0x3ba%2C0x3ad%2C0x364)%5D%3D_0x3df5ae%5B_0x428f5b(0x72%2C0xd6%2C0x95%2C0xc2%2C0xe2)%2B_0xcd9fd5(0x3b8%2C0x389%2C0x3ba%2C0x36c%2C0x3e0)%5D%5B_0x428f5b(0x12d%2C0x185%2C0x114%2C0x12d%2C0x17f)%5D(_0x3df5ae)%3Bcontinue%3Bcase%273%27%3Avar _0x4ada6f%3D_0x5cefcf%5B_0xcd9fd5(0x36f%2C0x38f%2C0x356%2C0x3a0%2C0x374)%2B_0x4b27ce(0x4f9%2C0x47b%2C0x4c1%2C0x4a9%2C0x4c1)%2B%27r%27%5D%5B_0x4b27ce(0x47b%2C0x44e%2C0x4db%2C0x48a%2C0x4cb)%2B_0x428f5b(0x69%2C0x115%2C0xf8%2C0xbc%2C0xaf)%5D%5B_0x428f5b(0x167%2C0x128%2C0x176%2C0x12d%2C0xd2)%5D(_0x5cefcf)%3Bcontinue%3Bcase%274%27%3A_0x4ada6f%5B_0x428f5b(0xf5%2C0xf2%2C0xdc%2C0xa5%2C0xa9)%2B_0x4b27ce(0x540%2C0x51b%2C0x4f9%2C0x50c%2C0x50a)%5D%3D_0x5cefcf%5B_0x1c295c(0x4d5%2C0x521%2C0x4c5%2C0x4e2%2C0x52b)%5D(_0x5cefcf)%3Bcontinue%3Bcase%275%27%3A_0x2f9d27%5B_0x1adbd1%5D%3D_0x4ada6f%3Bcontinue%3B%7Dbreak%3B%7D%7Delse%7Bvar _0x40277b%3D_0x272c37%5B_0xcd9fd5(0x350%2C0x306%2C0x359%2C0x386%2C0x396)%5D%5B_0x4b27ce(0x470%2C0x4a1%2C0x4a4%2C0x484%2C0x4bc)%5D(%27%7C%27)%2C_0x4a319c%3D-0x2*0xdc3%2B-0x1*0x2573%2B0x40f9%3Bwhile(!!%5B%5D)%7Bswitch(_0x40277b%5B_0x4a319c%2B%2B%5D)%7Bcase%270%27%3Avar _0x401653%3D%7B%7D%3B_0x401653%5B_0x428f5b(0x16d%2C0xfa%2C0xde%2C0x137%2C0x105)%5D%3D_0x272c37%5B_0x301d31(0x4d6%2C0x4d4%2C0x4a0%2C0x4b4%2C0x49a)%5D%2C_0x401653%5B_0x1c295c(0x3fa%2C0x4a0%2C0x3fc%2C0x44c%2C0x4a0)%2B_0x1c295c(0x4ab%2C0x502%2C0x4c4%2C0x4ce%2C0x4f8)%5D%3D_0x2089ca%5B_0x428f5b(0x11b%2C0xc6%2C0x11f%2C0xdb%2C0x91)%5D%5B_0x4b27ce(0x4cf%2C0x43b%2C0x4d6%2C0x479%2C0x42c)%2B_0x301d31(0x484%2C0x458%2C0x4d8%2C0x43b%2C0x48b)%5D%2C_0x401653%5B_0x301d31(0x3dd%2C0x440%2C0x45a%2C0x42a%2C0x422)%2B%27ut%27%5D%3D!(-0x5d1*-0x6%2B-0x1abe%2B0x74*-0x12)%2C_0xadcc11%5B_0x4b27ce(0x52c%2C0x4d7%2C0x4b5%2C0x4d0%2C0x4ea)%2B_0x1c295c(0x42f%2C0x450%2C0x460%2C0x47d%2C0x4b6)%5D(_0x401653%2Cfunction()%7Bfunction _0x48a38f(_0x292124%2C_0x5f5b83%2C_0x1bce0d%2C_0x530035%2C_0x4b4693)%7Breturn _0x301d31(_0x292124-0x1ac%2C_0x5f5b83-0xa6%2C_0x1bce0d-0x1cf%2C_0x292124%2C_0x5f5b83-0x89)%3B%7Dfunction _0x570b58(_0x52cd81%2C_0x2e4d4b%2C_0xe86619%2C_0x246213%2C_0x459cfd)%7Breturn _0x4b27ce(_0x52cd81-0x1ca%2C_0xe86619%2C_0xe86619-0x13f%2C_0x246213- -0x6e9%2C_0x459cfd-0x2e)%3B%7Dfunction _0x53d4bc(_0x2af819%2C_0x1d04d3%2C_0x2d6647%2C_0x2c99ed%2C_0x383ddf)%7Breturn _0x301d31(_0x2af819-0xd6%2C_0x1d04d3-0x1ab%2C_0x2d6647-0xaf%2C_0x2c99ed%2C_0x2d6647- -0x63e)%3B%7D_0x589f56%5B_0x570b58(-0x1d4%2C-0x1fa%2C-0x21c%2C-0x22a%2C-0x24d)%2B_0x48a38f(0x4bd%2C0x4f0%2C0x4d2%2C0x496%2C0x4ba)%2B%27t%27%5D%3D_0x272c37%5B_0x570b58(-0x227%2C-0x1f4%2C-0x182%2C-0x1cd%2C-0x202)%5D(_0x506cdc%2Cfunction()%7Bfunction _0x3d6283(_0x144aad%2C_0xa7f1a4%2C_0x440cb2%2C_0x3ccc78%2C_0x15c5b4)%7Breturn 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_0x531dab(_0x2313d6%2C_0x4201c5%2C_0x13ea7e%2C_0x89f954%2C_0x315599)%7Breturn _0x3faf6c(_0x2313d6-0x117%2C_0x4201c5-0x97%2C_0x13ea7e-0x1c8%2C_0x13ea7e-0x5fc%2C_0x4201c5)%3B%7Dfunction _0x54d7f0(_0xb0d2a7%2C_0x18c5c9%2C_0x2c6506%2C_0x43b8ac%2C_0x38ea12)%7Breturn _0x3cf296(_0x2c6506%2C_0x18c5c9-0x1ca%2C_0x18c5c9-0xf9%2C_0x43b8ac-0xbe%2C_0x38ea12-0x5b)%3B%7Dfunction _0x1cc482(_0x3eb1c6%2C_0x423d7a%2C_0x5278fb%2C_0x2e6ce2%2C_0x4f72ca)%7Breturn _0x3faf6c(_0x3eb1c6-0x86%2C_0x423d7a-0x3c%2C_0x5278fb-0x199%2C_0x2e6ce2-0x169%2C_0x4f72ca)%3B%7Dvar _0x364e18%3D%7B%27XwhBc%27%3Afunction(_0x3df64c%2C_0x5d6583)%7Breturn _0x3df64c%3D%3D%3D_0x5d6583%3B%7D%2C%27ODbUo%27%3A_0x54d7f0(-0x2a%2C0x3%2C-0x13%2C-0x3c%2C0x43)%2C%27Dcxau%27%3Afunction(_0x13673c%2C_0x4b63fb%2C_0x3d4916)%7Breturn _0x13673c(_0x4b63fb%2C_0x3d4916)%3B%7D%7D%3Bfunction _0xf893f0(_0x3545bf%2C_0x29c2d8%2C_0x22909d%2C_0x16349a%2C_0x2841b9)%7Breturn _0x3faf6c(_0x3545bf-0x12d%2C_0x29c2d8-0x1cc%2C_0x22909d-0xce%2C_0x3545bf-0x5f6%2C_0x16349a)%3B%7Dt%5B_0x1cc482(-0xb1%2C-0x4d%2C-0x55%2C-0x9f%2C-0x9f)%2B_0x1cc482(-0x62%2C-0xd5%2C-0x3f%2C-0x87%2C-0x5f)%2B%27t%27%5D%3D_0x364e18%5B_0x531dab(0x3a6%2C0x3a9%2C0x3ce%2C0x3bb%2C0x3d0)%5D(setTimeout%2Cfunction()%7Bfunction _0x9d78(_0x129567%2C_0x1e9516%2C_0x4b747b%2C_0x3f9c18%2C_0x5d7762)%7Breturn _0x1cc482(_0x129567-0xdf%2C_0x1e9516-0xfd%2C_0x4b747b-0x12%2C_0x1e9516-0x410%2C_0x129567)%3B%7Dfunction _0x4a6b6c(_0x5c1d84%2C_0x4b56f9%2C_0x5c4298%2C_0x409d96%2C_0x2eb082)%7Breturn _0x531dab(_0x5c1d84-0x8b%2C_0x2eb082%2C_0x5c4298- -0xbd%2C_0x409d96-0xd8%2C_0x2eb082-0xcc)%3B%7Dfunction _0x4a4b0d(_0x5c5cf4%2C_0x2b0ab2%2C_0x318e48%2C_0x424d63%2C_0x342b86)%7Breturn _0x54d7f0(_0x5c5cf4-0x161%2C_0x318e48- -0x310%2C_0x5c5cf4%2C_0x424d63-0x1e9%2C_0x342b86-0x1e2)%3B%7Dfunction _0x44093b(_0x21199a%2C_0x440f5d%2C_0x5263b3%2C_0x4a5411%2C_0x4db65c)%7Breturn _0x531dab(_0x21199a-0x1b1%2C_0x440f5d%2C_0x4a5411- -0x1a0%2C_0x4a5411-0xb%2C_0x4db65c-0x19d)%3B%7Dfunction _0x335831(_0xc62ab8%2C_0x304cc4%2C_0x3faa79%2C_0x5f49de%2C_0xf84659)%7Breturn _0x531dab(_0xc62ab8-0x73%2C_0x5f49de%2C_0xf84659-0xa5%2C_0x5f49de-0x12d%2C_0xf84659-0x1a0)%3B%7Dif(_0x364e18%5B_0x4a4b0d(-0x335%2C-0x330%2C-0x31d%2C-0x340%2C-0x319)%5D(_0x364e18%5B_0x4a4b0d(-0x2f1%2C-0x30f%2C-0x2e5%2C-0x301%2C-0x2a7)%5D%2C_0x364e18%5B_0x4a6b6c(0x31c%2C0x34c%2C0x328%2C0x37e%2C0x33d)%5D))t%5B_0x4a6b6c(0x344%2C0x350%2C0x31d%2C0x2c5%2C0x333)%2B%27mQ%27%5D()%3Belse%7Bif(_0x28d099)%7Bvar _0x2d85a2%3D_0x3c92e5%5B_0x335831(0x4f6%2C0x51a%2C0x4c2%2C0x470%2C0x4c6)%5D(_0x2bfe14%2Carguments)%3Breturn _0x320ad3%3Dnull%2C_0x2d85a2%3B%7D%7D%7D%2C0x1ab6%2B0x2425%2B-0x3d19*0x1)%3B%7D))%3B%0A %7D)%0A getdefense.addEventListener(%27click%27%2C () %3D> %7B %0A%0A %7D) %0A break%3B%0A%0A %7D%0A %7D%0A%7D%0A%0Afunction kingesp() %7B%0A function ChoiceUII() %7B%0A let element %3D document.createElement(%27div%27)%3B%0A element.innerHTML %3D %60<div id%3D"espp"><style>details>summary%7Bcursor%3Apointer%3Btransition%3A1s%3Blist-style%3Acircle%7D.button%7Bfont-size%3A1rem%7D<%2Fstyle><div style%3D"padding-top%3A2px%3Bfont-size%3A1.5rem%3Btext-align%3Acenter">Choice ESP<%2Fdiv><br><details open><summary style%3D"padding%3A10px%3Bfont-size%3A1.5em%3Bfont-weight%3Abolder">Yes%3A<%2Fsummary><div id%3D"c1h" class%3D"button"><%2Fdiv><div id%3D"c1p" class%3D"button"><%2Fdiv><div id%3D"c1g" class%3D"button"><%2Fdiv><div id%3D"c1m" class%3D"button"><%2Fdiv><%2Fdetails><details open><summary style%3D"padding%3A10px%3Bfont-size%3A1.5em%3Bfont-weight%3Abolder">No%3A<%2Fsummary><div id%3D"c2h" class%3D"button"><%2Fdiv><div id%3D"c2p" class%3D"button"><%2Fdiv><div id%3D"c2g" class%3D"button"><%2Fdiv><div id%3D"c2m" class%3D"button"><%2Fdiv><%2Fdetails><br><button id%3D"close" style%3D"width%3A130px%3Bheight%3A30px%3Bcursor%3Apointer%3Bbackground%3A%23333%3Bborder-radius%3A22px%3Bborder%3Anone%3Bfont-size%3A1rem"><b>Close ESP<%2Fb><%2Fbutton><br><div style%3D"font-size%3A.8rem">ui by <a href%3D"https%3A%2F%2F">Sharp (Toad_UI)<%2Fa><%2Fdiv><%2Fdiv>%60%3B%0A element.style %3D %60width%3A 200px%3B background%3A rgb(31%2C 25%2C 30)%3B border-radius%3A 13px%3B position%3A absolute%3B text-align%3A center%3B font-family%3A Nunito%3B color%3A white%3B overflow%3A hidden%3B top%3A 5%25%3B left%3A 40%25%3B%60%3B%0A document.body.appendChild(element)%3B%0A var pos1 %3D 0%2C%0A pos2 %3D 0%2C%0A pos3 %3D 0%2C%0A pos4 %3D 0%3B%0A element.onmousedown %3D ((e %3D window.event) %3D> %7B%0A e.preventDefault()%3B%0A pos3 %3D e.clientX%3B%0A pos4 %3D e.clientY%3B%0A document.onmouseup %3D (() %3D> %7B%0A document.onmouseup %3D null%3B%0A document.onmousemove %3D null%3B%0A %7D)%3B%0A document.onmousemove %3D ((e) %3D> %7B%0A e %3D e %7C%7C window.event%3B%0A e.preventDefault()%3B%0A pos1 %3D pos3 - e.clientX%3B%0A pos2 %3D pos4 - e.clientY%3B%0A pos3 %3D e.clientX%3B%0A pos4 %3D e.clientY%3B%0A let top %3D (element.offsetTop - pos2) > 0 %3F (element.offsetTop - pos2) %3A 0%3B%0A let left %3D (element.offsetLeft - pos1) > 0 %3F (element.offsetLeft - pos1) %3A 0%3B%0A element.style.top %3D top %2B "px"%3B%0A element.style.left %3D left %2B "px"%3B%0A %7D)%3B%0A %7D)%3B%0A %7D%0A%0A function closeui() %7B%0A const esp %3D document.getElementById("espp")%0A esp.remove()%3B%0A %7D%0A%0A function addUtils() %7B%0A const exit %3D document.getElementById("close")%0A exit.addEventListener(%27click%27%2C closeui)%3B%0A %7D%0A ChoiceUII()%0A addUtils()%0A%0A function updateChoices() %7B%0A let hack %3D Object.values(document.querySelector(%27%23app > div > div%27))%5B1%5D.children%5B1%5D._owner%0A const no %3D hack.stateNode.state.guest.no%0A const yes %3D hack.stateNode.state.guest.yes%0A const c2gold %3D document.getElementById("c2g")%0A const c2happy %3D document.getElementById("c2h")%0A const c2people %3D document.getElementById("c2p")%0A const c2mats %3D document.getElementById("c2m")%0A const c1gold %3D document.getElementById("c1g")%0A const c1happy %3D document.getElementById("c1h")%0A const c1people %3D document.getElementById("c1p")%0A const c1mats %3D document.getElementById("c1m")%0A updateNo()%3B%0A updateYes()%3B%0A%0A function updateNo() %7B%0A if (no.happiness !%3D null) %7B%0A c2happy.innerHTML %3D %60Happiness%3A %24%7Bno.happiness%7D%60%0A %7D else %7B%0A c2happy.innerHTML %3D null%3B%0A %7D%0A if (no.people !%3D null) %7B%0A c2people.innerHTML %3D %60People%3A %24%7Byes.people%7D%60%0A %7D else %7B%0A c2people.innerHTML %3D null%3B%0A %7D%0A if (no.gold !%3D null) %7B%0A c2gold.innerHTML %3D %60Gold%3A %24%7Bno.gold%7D%60%0A %7D else %7B%0A c2gold.innerHTML %3D null%3B%0A %7D%0A if (no.materials !%3D null) %7B%0A c2mats.innerHTML %3D %60Materials%3A %24%7Bno.materials%7D%60%0A %7D else %7B%0A c2mats.innerHTML %3D null%3B%0A %7D%0A %7D%0A%0A function updateYes() %7B%0A if (yes.happiness !%3D null) %7B%0A c1happy.innerHTML %3D %60Happiness%3A %24%7Byes.happiness%7D%60%0A %7D else %7B%0A c1happy.innerHTML %3D null%3B%0A %7D%0A if (yes.people !%3D null) %7B%0A c1people.innerHTML %3D %60People%3A %24%7Byes.people%7D%60%0A %7D else %7B%0A c1people.innerHTML %3D null%3B%0A %7D%0A if (yes.gold !%3D null) %7B%0A c1gold.innerHTML %3D %60Gold%3A %24%7Byes.gold%7D%60%0A %7D else %7B%0A c1gold.innerHTML %3D null%3B%0A %7D%0A if (yes.materials !%3D null) %7B%0A c1mats.innerHTML %3D %60Materials%3A %24%7Byes.materials%7D%60%0A %7D else %7B%0A c1mats.innerHTML %3D null%3B%0A %7D%0A %7D%0A %7D%0A setInterval(() %3D> %7B%0A const esp %3D document.getElementById("espp")%0A if (esp !%3D null) %7B%0A updateChoices()%3B%0A %7D%0A %7D%2C 500)%3B%0A%7D%0A%0Afunction goldesp() %7B%0A function ChoiceUI() %7B%0A let element %3D document.createElement(%27div%27)%3B%0A element.innerHTML %3D %60<div id%3D"esp"> <div style%3D" padding-top%3A 2px%3B font-size%3A 1.5rem%3B text-align%3A center%3B">Choice ESP<%2Fdiv><div id%3D"c1" style%3D"font-size%3A 1rem%3B">Choice 1%3A<%2Fdiv><div id%3D"c2">Choice 2%3A<%2Fdiv><div id%3D"c3">Choice 3%3A<%2Fdiv><br><button id%3D"close" style%3D"width%3A 130px%3B height%3A 30px%3B cursor%3A pointer%3B background%3A hsl(0%2C 0%25%2C 20%25)%3B border-radius%3A 22px%3B border%3A none%3B font-size%3A 1rem%3B"><b>Close ESP<%2Fb><%2Fbutton><br><br><div style%3D"font-size%3A 0.8rem%3B">ui by <a href%3D"https%3A%2F%2Fgithub.com%2FBlooketware">Blooketware<%2Fa><%2Fdiv><%2Fdiv>%60%3B%0A element.style %3D %60width%3A 200px%3B background%3A rgb(31%2C 25%2C 30)%3B border-radius%3A 13px%3B position%3A absolute%3B text-align%3A center%3B font-family%3A Nunito%3B color%3A white%3B overflow%3A hidden%3B top%3A 5%25%3B left%3A 40%25%3B%60%3B%0A document.body.appendChild(element)%3B%0A var pos1 %3D 0%2C%0A pos2 %3D 0%2C%0A pos3 %3D 0%2C%0A pos4 %3D 0%3B%0A element.onmousedown %3D ((e %3D window.event) %3D> %7B%0A e.preventDefault()%3B%0A pos3 %3D e.clientX%3B%0A pos4 %3D e.clientY%3B%0A document.onmouseup %3D (() %3D> %7B%0A document.onmouseup %3D null%3B%0A document.onmousemove %3D null%3B%0A %7D)%3B%0A document.onmousemove %3D ((e) %3D> %7B%0A e %3D e %7C%7C window.event%3B%0A e.preventDefault()%3B%0A pos1 %3D pos3 - e.clientX%3B%0A pos2 %3D pos4 - e.clientY%3B%0A pos3 %3D e.clientX%3B%0A pos4 %3D e.clientY%3B%0A let top %3D (element.offsetTop - pos2) > 0 %3F (element.offsetTop - pos2) %3A 0%3B%0A let left %3D (element.offsetLeft - pos1) > 0 %3F (element.offsetLeft - pos1) %3A 0%3B%0A element.style.top %3D top %2B "px"%3B%0A element.style.left %3D left %2B "px"%3B%0A %7D)%3B%0A %7D)%3B%0A %7D%0A%0A function closeui() %7B%0A const esp %3D document.getElementById("esp")%0A esp.remove()%3B%0A %7D%0A%0A function addUtilss() %7B%0A const exit %3D document.getElementById("close")%0A exit.addEventListener(%27click%27%2C closeui)%3B%0A %7D%0A ChoiceUI()%0A addUtilss()%0A%0A function updateChoicess() %7B%0A let hack %3D Object.values(document.querySelector(%27%23app > div > div%27))%5B1%5D.children%5B1%5D._owner%0A const choice %3D hack.stateNode.state.choices%0A const c1 %3D document.getElementById("c1")%0A const c2 %3D document.getElementById("c2")%0A const c3 %3D document.getElementById("c3")%0A c1.innerHTML %3D "Choice 1%3A " %2B choice%5B0%5D.text%0A c2.innerHTML %3D "Choice 2%3A " %2B choice%5B1%5D.text%0A c3.innerHTML %3D "Choice 3%3A " %2B choice%5B2%5D.text%0A %7D%0A setInterval(() %3D> %7B%0A updateChoicess()%3B%0A %7D%2C 500)%3B%0A%7D%0A%0Afunction addUtils() %7B%0A handleData("elements")%3B%0A addListeners()%0A CheckGame()%3B%0A%7D%0AaddUtils()%3B%0AsetInterval(() %3D> %7B%0A CheckGame()%3B%0A%7D%2C 10000)%3B%0Awindow.alert("made by Jacob huggins.")%3B%7D)()%3B

[CVPR'23] JacobiNeRF: NeRF Shaping with Mutual Information Gradient

Source code for 'Reusable Firmware Development' by Jacob Beningo

No description available

Demonstrates consuming modules from a webpack bundle from an esbuild bundle using https://github.com/jacob-ebey/esbuild-federation-share-scope.