Soccerstan
Reproductions of models for football (soccer) matches in Stan/PyStan.
How do I run the models?
It's pretty simple. You can just run src/soccerstan.py from the command line.
This requires the file containing match data
(from football-data.co.uk) and which model you want to
use as arguments.
For instance:
> python soccerstan.py 'data/example.csv' 'karlis-ntzoufras'Models
So far, the following models have been implemented:
- Maher (1982) - Modelling Association Football Scores -
maher - Dixon and Coles (1997) - Modelling Association Football Scores and Inefficiencies in the Football Betting Market -
dixon-coles - Karlis and Ntzoufras (2008) - Bayesian modelling of football outcomes (using the Skellam's distribution) -
karlis-ntzoufras
Data
The main soccerstan script has been written to work with data from football-data.co.uk. The 2015/16 English Premier League season has been added as an example data file.
However, it will also work with any csv with columns labelled home_team, away_team, home_goals, away_goals.