Collective behavior characterization in team sports

This dataset contain materials supporting the PhD manuscript "Machine Learning approaches to model and predict performance in Team Sports.", Section 3.3 Please extract folder from the compressed archive and place it in the root of the following github repository : https://github.com/arnaud-odet/col_behavior This part aims at modeling and predicting performance in Rugby Union based on tracking data. We apply collective behavior characterization on processed tracking data to demonstrate which configuration allow more progress than others. This data was obtained from wearable GPS trackers used by the professional Rugby Union team US Colomiers (French Pro D2) during season 2023/24 and 2024/25