Player-tracking data from NFL Next Gen Stats Highlights.

Build an automated betting model to identify and predict games which are inefficiently priced and have my model simulate a real bettor over four seasons of games, visually tracking wins and losses, with historical NFL betting market analysis in support.

functions to clean up nfl player tracking data

Use publicly available data to track NFL betting trends.

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

Analytics for Polymarket sports prediction markets. Tracks P&L, generates leaderboards, and identifies top forecasters across NFL, NBA, CFB, and CBB.

A web application framework to visualize sports as a animation of player tracker data. The current build does this using a sample of data provided by the NFL NextGenStats from games during the 2018 season

A Python application created with Pyramid to track and report NFL season pool picks and points for league play

Scraped reports from NFL prospect tracker, ESPN Insider, Walterfootball, FFtools, GameHaus, Draftrek

Google Script to run within Google Sheets that pulls from a template form to create a season-long NFL Pick'Ems league run through a Google Sheet with a weekly updating Google Form to receive responses from members. Creates a number of analysis pages of the picks and also tracks Monday Night Football winners, a survivor pool, and uses Monday Night Football combined score as a tiebreaker.

I want to pull NFL betting odds from an API and use it to track how betting lines differ between different websites and across the week to view potential good betting opportunities.

A CNN-based model that predicts the probability of success for short NFL passing plays using player tracking data, with frame-by-frame visualizations

Sample tracker for nfl draft

Generate animated gifs from NFL player-tracking data.

The library simplifies visualization of nfl tracking datasets, integrating customizable fields, player positions, and animations for seamless nfl analytics.

NFL Bozo Bets app for tracking weekly prop bets with friends

NFL RetroVault is a local-first React application for tracking, comparing, and analyzing NFL Retro Bowl–style player statistics across multiple seasons. Designed with the help of Loveable.

The National Football League (NFL) and Amazon Web Services (AWS)teamed up to develop the best sports injury surveillance and mitigation programvia the Kaggle competition. Through which the NFL wants to assign specificplayers to each helmet, which would help accurately identify each player’s “ex-posures” throughout a football play. We are trying to implement a computer vi-sion based ML algorithms capable of assigning detected helmet impacts to correctplayers via tracking information. Our paper will explain the approach to automati-cally track player helmets and their collisions. This will also allow them to reviewprevious plays and explore the trends in exposure over time.

Data repository that parses `statsbomb/amf-open-data` into a format simliar to the NFL Big Data Bowl (BDB) tracking datasets.

Football Tracking Visualization es una herramienta interactiva que visualiza los movimientos de los jugadores y las jugadas en la NFL en tiempo real. Utiliza datos de seguimiento y estadísticas de la NFL para analizar el rendimiento de los jugadores y las tácticas empleadas en cada jugada.

Predictive modeling using pre-snap NFL tracking data to anticipate play outcomes for the 2026 Big Data Bowl. Includes feature engineering, data pipelines, and exploratory football analytics.

Used R for a predictive modeling project for the NFL Big Data Bowl 2025, focusing on pre-snap to post-snap predictions using Next Gen Stats player tracking data.

The goal of this competition is to detect external contact experienced by players during an NFL football game. You will use video and player tracking data to identify moments with contact to help improve player safety.

Game Day Tracker turns your to-do list into a football game. Score touchdowns by crushing deadlines, rack up field goals when you're late, and pray you don't fumble a turnover. Scan handwritten notes off a real bracelet straight into the app, rep your NFL team's colours, and watch your win streak climb. Built for an Engineering 10 project.

Final Project for Computer Vision (Fall 2021) - NFL First & Future Helmet Tracking (Kaggle Challenge)

NFL stat tracker

NFL Playoff Tracker

Predict NFL games and track your score

NFL Draft Tracker using Python, Flask, and Bootstrap

Data for the NFLPlayTracker Power BI Visual