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📊⚽ 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.
The top teams in the English Premier League in the 2021-22 season, Manchester City and Liverpool FC, have gone ahead during this off season to add classic NO.9s to their already stellar attack options. Let's see how these two player stack up against each order using radar plot. Data source is FBref via Statsbomb.
A Jupyter Notebook project to scrape detailed football data from FBref, covering various leagues. The repository includes both the data collection process and a final cleaned dataset for immediate use in analysis. Ideal for football data science projects, including xG, passing metrics, and tactical insights.
Football History – Projet Django pour extraire des données de matchs depuis FBref, exporter en CSV et importer dans une base SQLite. Actuellement dédié à la Premier League, avec une architecture évolutive pour d'autres ligues.