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Perambulations in Football Analytics

Perambulations in Football Analytics

Slides for a lightning talk presentation given at the 85th PyData London meetup (May 2024).

Using Python tools like matplotlib, pandas and mplsoccer, we've discussed how to access football data with examples using fbref.com and Statsbomb Open Data

Marco Bonzanini

May 08, 2024
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  1. © Bonzanini Consulting Ltd — BonzaniniConsulting.com Nice to meet you

    • Dr Marco Bonzanini • NLP and Data Science stuff • Consulting, training and coaching on Python + Data Science • Former Chair @ PyData London 2
  2. © Bonzanini Consulting Ltd — BonzaniniConsulting.com Football Data 5 Type

    Samples / match Cost Summary 10s 🥜 Event 1,000s 💰 Tracking 1,000,000s 💸💸💸
  3. © Bonzanini Consulting Ltd — BonzaniniConsulting.com Rank on Multiple Columns?

    14 df[columns].apply(tuple,axis=1) Make a tuple from multiple columns, then rank() on that tuple