Automated Detection of Match Phases in Football from Spatio-Temporal Tracking Data Using Graph Neural Networks

Spatio-temporal tracking data has opened new possibilities for detecting complex tactical patterns in football, yet modeling the interactive movements of multiple players remains challenging. This paper proposes a framework combining graph neural networks (GNNs) with a sequential model to classify m