📊⚽ A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.

R scripts and data files for the Fantasy Football Analytics website

A curated list of football analytics awesome resources, articles, books and more!

ffanalytics R package

Football simulation engine (like Football Manager) written in pure Rust

The ultimate FPL dataset including the 2025/26 season. Fuses official FPL API data with detailed match stats, dynamic team Elo ratings, and full cup, friendlies and Euro coverage. All data is aligned by official FPL IDs for deep analysis.

Collection of references, datasets and software libraries for soccer analytics.

An analysis and visualization R package that works with publicly available soccer data

An example of how to create a xG model using R and Wyscout event data

Football Data Processing & Visualization

Tools to help developers and data scientists in sports

Synchronise event and tracking data using dynamic programming

EA FC 26 Automated SBC Solving using Integer Programming ⚽

This is a computer vision project that utilizes object detection algorithms to analyze football matches videos by finding the position of players, ball and referees on the football pitch and finding out to which team each player belongs.

A couple of functions to create customized passing networks with event data by Statsbomb and tracking data by Metrica Sport

A repository for football analytics

Detailed insights and charts for sleeper fantasy football leagues

A Premier League football dashboard.

AIFootballPredictions is an ML-based system to predict if a football match will have over 2.5 goals. Using historical data from top European leagues (Serie A, EPL, Bundesliga, La Liga, Ligue 1), it employs advanced feature engineering and model training techniques to provide accurate predictions. Perfect for sports analytics enthusiasts.

This project utilizes YOLOv8 for player detection, means to cluster players into two teams, and ByteTracker for player tracking in football matches.