Universal Dense Football Event Representation Based
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A Universal Dense Football Event Representation Based on TabTransformer
arXiv:2606.09327v1 Announce Type: new Abstract: Football event data constitute a rich spatiotemporal source for quantitative analysis of player actions in team sports. These datasets contain heterogeneous features, combining continuous location coordinates with categorical variables such as action type, action outcome, and body part. Such data have been applied in sports analytics for match outcome forecasting, player evaluation, and tactical pattern recognition.