An MPNN models football players as graph nodes and passes as weighted edges to predict receivers from tracking and event data, claiming competitive accuracy plus metrics for likelihood, threat, and creativity.
arXiv preprint arXiv:2411.17450 (2024) 20
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Evaluating passing decision-making in professional football: An enhanced MPNN approach to Receiver Selection
An MPNN models football players as graph nodes and passes as weighted edges to predict receivers from tracking and event data, claiming competitive accuracy plus metrics for likelihood, threat, and creativity.