defensive-network 0.0.8

Implementation of defensive passing networks for football (soccer) analytics.

Folder structure

• defensive_network/:
  • assets/: All files that are not code, e.g. xT weights
  • models/: All analytics models such as expected threat, expected receiver, involvement, tracking-event synchronization, formations, ...
  • parse/: To access data.
  • tests/: Tests to ensure reliability of the code (use pytest to run)
  • utility/: Various helper functions.
• old/: Old files we don't need anymore (but keep them just in case)
• scripts/: Various Streamlit dashboards and Python scripts to analyse the data
• secrets/: Token etc. for accessing Google Drive

Installation

1. Clone the repository:

git clone https://github.com/jonas-bischofberger/defensive-network
cd defensive-network

2. Create and activate a virtual environment (optional but recommended):

python -m venv venv
source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install the required packages:

pip install -r requirements.txt

4. Run some analysis script!

streamlit run scripts/explore/Explore_defensive_network.py
streamlit run scripts/xt_statsbomb_correlation.py
streamlit run scripts/responsibility_and_google_drive.py