Learning Fine-Grained Spatial Models for Dynamic Sports Play Prediction

Yisong Yue, Patrick Lucey, Peter Carr, Alina Bialkowski, Iain Matthews
2014 2014 IEEE International Conference on Data Mining  
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
more » ... We provide a detailed inspection of our learned factors, and show that our model is interpretable and corresponds to known intuitions of basketball gameplay.
doi:10.1109/icdm.2014.106 dblp:conf/icdm/YueLCBM14 fatcat:fhnphzlglravdj6drazhlduika