📊⚽ 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

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

Football Data Processing & Visualization

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

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.

Detailed insights and charts for sleeper fantasy football leagues

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

Complete football/soccer datalake with 93000+ players from Transfermarkt. Includes player profiles, performance statistics, market values, transfer histories, injury records, national team data, and teammate relationships.

A repository for football analytics

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.

A Premier League football dashboard.

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

A machine learning system that predicts fpl points of players

Web scraper to retrieve player and team data from Pro Football Reference.

Football/Soccer Pass Receiver Prediction using Object Detection/Graph Neural Networks (GNNs)

Flatiron School Capstone project. Trying to find out how well players' on-field performance metrics can be used to predict their transfer values.

A Python package for fetching live football/soccer stats from multiple online sources (Sofascore, FBref, Promiedos and others).

This repository contains a computer vision/machine learning football project that uses YOLO for object detection, Kmeans for pixel segmentation, and perspective transformation to analyze player movements in football videos

Statball - Football soccer stats analyser from top 5 european leagues with data obtained by web scraping from Fbref and Statsbomb

Simulator for the UEFA Champions League group stage draw.

A multiplicative rating model for football written in Python

Textbook for Fantasy Football Analytics course