RAMP : Soccer Winning Teams Classification

This is the starting kit for the RAMP on predicting soccer winning teams. The goal is to predict the outcome of a soccer match, given some information about the statistics of the teams such as possession, shots, key passes, etc. The data is provided by the StatsBomb company, which is a data provider for football (soccer) statistics.

Getting Started

Prerequisites

To get started, you need to install the necessary dependencies. You can do this by running the following command in your terminal:

pip install -r requirements.txt

Data

If you want to download the original data from Statbomb, you can run the following command:

python download_data.py

After running this command, you will find the data in the data/statbomb folder.

Then, to prepare the data for the challenge, you can run the following command:

python prepare_data.py

Example

You can see an example in the starting_kit.ipynb notebook. This notebook will guide you through the process of loading the data, training a model, and making predictions.

Test a submission

The submissions need to be located in the submissions folder. For instance for starting_kit, it should be located in submissions/starting_kit.

Then you can run the following command to test the submission:

ramp-test --submission starting_kit

You can get more information regarding this command line:

ramp-test --help

Authors

This challenge was created by: Thomas Sinapi, Ilyes Tebourski, Julien Maille-Paez, Mohamed Hamdouni and Manitas Bahri