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Comprehensive Guide to explaining, creating and using an xG model

Jupyter Notebook 35 9 Updated Jan 28, 2021

We will analyze in our code the expected goal locations of football players based on which areas of the field, at what times, with which feet, using which parts of their bodies, and from which angl…

HTML 1 Updated Dec 8, 2024

Program that scrapes and processes expected goals (xG) data from multiple data sources (FBRef.com & Understat.com) to cover 40+ football leagues in the world predicting the outcome of each game usi…

Python 2 Updated Jan 14, 2025

📊⚽ 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.

Jupyter Notebook 2,093 285 Updated Apr 14, 2024
Jupyter Notebook 29 4 Updated Jan 9, 2025