Testing team strength models in Python
Because it's backtesting... gettit? Wing back? ... Yeah, I'll show myself out.
This project is built on top of understat-db. The initial setup is the same.
The simplest way to get started is to populate a local database with docker-compose.
First, clone the repository:
git clone https://github.com/Torvaney/understat-db.git
cd understat-db
Then, setup the local environment
make env # Create a virtualenv and installs the project & dependencies
source venv/bin/activate # Activate the virtualenv
cp .env.sample .env # Copy default environment vars to .env
Run the database
docker-compose up -d db # Start a postgres database within a docker container
wingback migrate # Create base database tables
Finally, import the data you want
wingback ingest --leagues EPL --seasons 2020
The xG-based models require match simulations to be present in the database. You can generate these with the resimulate command:
wingback resimulate --leagues EPL --seasons 2020
Finally, to backtest the models, you can use the backtest command:
wingback backtest --league EPL --start-date 2021-01-01
Note that the full suite of models is very large (see wingback backtest --help) and takes a long time to run. You can select specific models using the --models flag.
To run this project you will need:
Pull requests are encouraged! For major changes, please open an issue first to discuss what you would like to change.