Interactive Sports Analytics: An Intelligent Interface for Utilizing Trajectories for Interactive Sports Play Retrieval and Analytics

@article{Sha2018InteractiveSA,
  title={Interactive Sports Analytics: An Intelligent Interface for Utilizing Trajectories for Interactive Sports Play Retrieval and Analytics},
  author={Long Sha and Patrick Lucey and Yisong Yue and Xinyu Wei and Jennifer Hobbs and Charlie Rohlf and Sridha Sridharan},
  journal={ACM Trans. Comput.-Hum. Interact.},
  year={2018},
  volume={25},
  pages={13:1-13:32}
}
Analytics in professional sports has experienced a dramatic growth in the last decade due to the wide deployment of player and ball tracking systems in team sports, such as basketball and soccer. With the massive amount of fine-grained data being generated, new data-points are being generated, which can shed light on player and team performance. However, due to the complexity of plays in continuous sports, these data-points often lack the specificity and context to enable meaningful retrieval… CONTINUE READING
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