/money-in-football

Bayesian multilevel model measuring the effect of football (soccer) club resources on total league points across seven European leagues and ten seasons.

Primary LanguageRMIT LicenseMIT

Analysing Football Club Resources and League Performance Using Bayesian Multilevel Models

With the gap between the rich and the poor continuing to grow in Europe's top football (soccer) leagues, rival fans often debate the extent to which the untold wealth that some clubs possess has the power to decide the outcome of league seasons. It's clear that the variance in financial resources within leagues is a factor in deciding league outcomes, but just how important is it?

I've put together an analysis looking to answer that question, using Bayesian multilevel regression to measure the effect of club resources on total league points across seven European leagues and ten seasons (2012/13 - 2021/22). The seven European leagues that make up the dataset are generally regarded as the highest standard and (rather conveniently) richest leagues on the continent:

  • Premier League (England)
  • La Liga (Spain)
  • Bundesliga (Germany)
  • Serie A (Italy)
  • Ligue 1 (France)
  • Eredivisie (Netherlands)
  • Primeira Liga (Portugal)

Project Structure

Links

License

This repository and all of its contents are licensed under the MIT license.

Contact

If you have any questions or comments, feel free to contact me by email or on Twitter.