Analyzing and predicting events in soccer and tennis using spatiotemporal data

Wei, X., Sridharan, S., Lucey, P., Navarathna, R., & Morgan, S. (2014) Analyzing and predicting events in soccer and tennis using spatiotemporal data. In 2014 KDD Workshop on Large-Scale Sports Analytics, 24 August 2014, New York.

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In this paper, we summarize our recent work in analyz- ing and predicting behaviors in sports using spatiotemporal data. We specifically focus on two recent works:

1) Predicting the location of shot in tennis using Hawk-Eye tennis data, and

2) Clustering spatiotemporal plays in soccer to discover the methods in which they get a shot on goal from a professional league.

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ID Code: 78738
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: Analyzing behaviour, Spatiotemporal data, Predicting behaviour
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2014 ACM
Copyright Statement: Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee.
Deposited On: 18 Nov 2014 22:41
Last Modified: 01 Jun 2015 21:48

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