Learning Fine-Grained Spatial Models for Dynamic Sports Play Prediction

@article{Yue2014LearningFS,
  title={Learning Fine-Grained Spatial Models for Dynamic Sports Play Prediction},
  author={Yisong Yue and Patrick Lucey and Peter Carr and Alina Bialkowski and Iain A. Matthews},
  journal={2014 IEEE International Conference on Data Mining},
  year={2014},
  pages={670-679}
}
We consider the problem of learning predictive models for in-game sports play prediction. Focusing on basketball, we develop models for anticipating near-future events given the current game state. We employ a latent factor modeling approach, which leads to a compact data representation that enables efficient prediction given raw spatiotemporal tracking data. We validate our approach using tracking data from the 2012-2013 NBA season, and show that our model can make accurate in-game predictions… CONTINUE READING

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