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MatchOrchestra: a generalized visual analytics for competitive team sports

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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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Authors and Affiliations

  1. Tianjin University, Tianjin, China

    Wentao Wang & Jiawan Zhang

  2. Peking University, Beijing, China

    Xiaoru Yuan

  3. Tsinghua University, Beijing, China

    Shixia Liu

Authors
  1. Wentao Wang
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  2. Jiawan Zhang
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  3. Xiaoru Yuan
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  4. Shixia Liu
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Correspondence to Jiawan Zhang.

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Wang, W., Zhang, J., Yuan, X. et al. MatchOrchestra: a generalized visual analytics for competitive team sports. J Vis 19, 515–528 (2016). https://doi.org/10.1007/s12650-015-0337-3

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  • DOI: https://doi.org/10.1007/s12650-015-0337-3

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