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Football Analytics

Football and Geometry — Passing Networks

Understanding networks through the analysis of Bayer Leverkusen’s passing networks

Pol Marin
TDS Archive
Published in
10 min readSep 16, 2024

Photo by Clint Adair on Unsplash

Long time no see… But for a good reason.

After some months I’m back on Medium and today we’re merging two exciting worlds: football and geometry.

Concretely, we’ll touch upon the topic of networks but, as always, through a practical case. We’ll study football passing networks focusing on last year’s Bayer Leverkusen matches.

The Bundesliga winners had an amazing season playing outstanding football under Xabi Alonso. I’m curious to investigate how that translates to mathematical terms and understand their playing style and most relevant players through their passing networks.

While the importance of networks is already established to study interconnection between nodes, its application in football isn’t different from that. It’s basic stuff, in fact, but it’s worth dedicating a post for anyone who hasn’t seen one yet.

Statsbomb[1] has high-quality data and, luckily for us, they made free and available for everyone all Bayer Leverkusen’s games from last season.

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TDS Archive
TDS Archive

Published in TDS Archive

An archive of data science, data analytics, data engineering, machine learning, and artificial intelligence writing from the former Towards Data Science Medium publication.

Pol Marin
Pol Marin

Written by Pol Marin

Data Scientist @FCBarcelona | Naturally inclined towards sports analytics and health/nutrition - Find me on LinkedIn: linkedin.com/in/polmarin/

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