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/wingback.git
cd wingback

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:

• Python 3.6+
• Docker

Pull requests are encouraged! For major changes, please open an issue first to discuss what you would like to change.

MIT