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Journal of Visualization
Published in: Journal of Visualization 3/2016

01-08-2016 | Regular Paper

MatchOrchestra: a generalized visual analytics for competitive team sports

Authors: Wentao Wang, Jiawan Zhang, Xiaoru Yuan, Shixia Liu

Published in: Journal of Visualization | Issue 3/2016

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Abstract

Competitive sports analysis is a popular and valuable research topic in recent years. Sports are competitive, fast paced, and teamwork based. In this article, we introduce a generalized and effective system MatchOrchestra to analyze competitive team sports based on musical score and orchestra metaphor. MatchOrchestra provides views about player performance, team status, match tempo, player cooperation and confrontation, which can help analysts in performing specific analysis tasks. To demonstrate the usability of our proposed system, representative case studies were conducted on an NBA (National Basketball Association) game and also extend to apply in football match, which are both typical competitive sports matches.
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Metadata
Title
MatchOrchestra: a generalized visual analytics for competitive team sports
Authors
Wentao Wang
Jiawan Zhang
Xiaoru Yuan
Shixia Liu
Publication date
01-08-2016
Publisher
Springer Berlin Heidelberg
Published in
Journal of Visualization / Issue 3/2016
Print ISSN: 1343-8875
Electronic ISSN: 1875-8975
DOI
https://doi.org/10.1007/s12650-015-0337-3

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