I had been a passionate soccer player for about 20 years. I was obsessed with soccer. No matter whether it was Bundesliga, Serie A, Premier League, La Liga (the good old days of Laola1.tv), or the Australian A-League -- soccer was everything!
Ever since though, I have been wondering how much of a player's performance is due to his own skill and ability, and how much has actually to be attributed to his team's strength ?!
As I wanted to learn more about python and Bayesian statistics, I thought trying to answer that question would make a nice application to kick off the learning process. The result is the SFM -- a Soccer-Factor-Model, inspired by the factor-models in the finance literature -- which tries to separate a player's skill and ability from his team's strength.
If you're curious, check it out via the link below! I'd be looking forward to all sorts of comments, criticism, and suggestions!
Tune in to my PyMCon talk on YouTube
Listen to my interview on the
"Learning Bayesian Statistics" podcast