Using a combination of Opta Vision events, and spatial tracking data captured for all on-field players, we propose a method for categorising players, based on role-specific performance traits, to g…

Last row tracking data and code

Final project of my immersive course in Data Science at General Assembly. It consisted of a lot of Web Scraping + several regression techniques to predict current value of football players. Conclus…

SoccerNet: A Scalable Dataset for Action Spotting in Soccer Videos

Package to visualize soccer data

This project aims to showcase effective player recruitment strategies using data science techniques for football clubs.

Convert soccer event stream data to SPADL and value player actions using VAEP or xT

Getting started with soccer analytics

Friends of Tracking: Tutorial on valuing actions in football.

SoccerMix is a soft clustering technique based on mixture models that decomposes event stream data into a number of prototypical actions of a specific type, location, and direction.

Measuring soccer player's creativity

Laurie's code for Metrica tracking data.

python 3 version of TrackingData, written by Laurie Shaw at Harvard Data Science Initiative. Re-written and updated by Jeff Balkanski

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.

The Narya API allows you track soccer player from camera inputs, and evaluate them with an Expected Discounted Goal (EDG) Agent. This repository contains the implementation of the flowing paper htt…

This is a repository on hands-on introduction to football (soccer) data analysis, targeting those who want to start working with their own football data and perform analyses.

📊⚽ 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.