Recorded statistics for all football players to ever play in the NFL

Player-tracking data from NFL Next Gen Stats Highlights.

Weekly data scraped from NFL Next Gen Stats website

A suite of tools for getting NFL team, player and game data, as well as real-time statistics.

"Python web scraping for NFL stats from the official website for the 2023 season, covering multiple categories."

NFL Stats

Pull NFL Next Gen Stats w/ nfl-data-py package

NFL stats dashboard (full stack web app) using AWS's Next Gen NFL Stats for displaying and tracking passing data.

Python library to pull NFL data for fantasy purposes

A spider based on Scrapy and Selenium to scrape NFL's Next Gen Stats website.

No description available

Repository for Scraping and Analyzing NFL Data

Python tool to scrape historical NFL data that captures basic stats and provides several formats for usage.

NFL Statsbot tweets NFL statistics for teams and players since 1999.

Interactive Visualization of Team Stats for NFL 2013

Playing around with NFL stats and win-probability models in R

A collection of web scrapers for obtaining NFL stats and fantasy data

2023 NFL Big Data Bowl Submission - Leveraged Next Gen Stats to model pass-blocking engagements

Fantasy Football Data Analytics for True Football Fans

Compare NFL Player's statistics

Scraping em python e BeautifulSoup. Serviço em Django, que recebe a requisição para executar o scraping e em seguida envia via request para o serviço de upload dos dados.

This web scraper gathers basic statistics and career statistics provided by the NFL on their official website for all active players and all 40,000+ retired players.

A discord bot that lets users look up stats for NFL players by web-scraping.

Tools to help synthesize raw NFL and NHL stats into daily/weekly roster picks using Pandas, nfldb, and py-nhl (modified)

Applying statistics, machine learning, and deep learning techniques to predict how many yards a team will gain on rushing plays using data provided by NFL’s Next Gen Stats.

Stanford School of Professional Development class CS229 Final Project. I grabbed data from publicly available nfl stats libraries, processed the data to create interesting feature vectors, applied the Normal Equations to create linear regressions for point prediction, and then analyzed performance of my algorithm against DraftKings tournament results.

Displays nfl subreddit stats

No description available

Create classes to store stats for each football position

A Django web app to browse the career stats of all NFL players up until the 2018 season