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Application of entropy measures to analysis of performance in team sports

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  • Pedro Silva
  • Ricardo Duarte
  • Pedro Esteves
  • Bruno Travassos
  • Luís Vilar

Abstract

Over the last years, several researchers have been claiming that team ball sports may be viewed as dynamical systems and, thus, they should be thoroughly investigated using congruent concepts and tools. The study of variability in the sport performance domain has shown potential to contribute with valuable information about tactical behaviours related with space and time management within ever changing task constraints featuring team sports contests. Here we detail how different entropy measures have been applied to the study of performance variability to uncover the interactions underlying players and teams’ performances. With that purpose, urging issues related with information entropy, approximate entropy and sample entropy applications are discussed as a mean to enrich the state of the art in team sport performance. In sum, measurements of entropy in team sports have shown great potential to assess the uncertainty of players’ spatial distributions and dominant regions areas and of several collective team behaviours (e.g., team synchrony and team dispersion) throughout the course of a match. Entropy can also be used as a potential tool to identify expert performances and differentiate skilled from novice athletes. Future holds many other applications of this statistic in the context of performance analysis in sports, and the inclusion of new and more sophisticated entropy algorithms.

Suggested Citation

  • Pedro Silva & Ricardo Duarte & Pedro Esteves & Bruno Travassos & Luís Vilar, 2016. "Application of entropy measures to analysis of performance in team sports," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 16(2), pages 753-768, August.
    • Handle: RePEc:taf:rpanxx:v:16:y:2016:i:2:p:753-768
    DOI: 10.1080/24748668.2016.11868921
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    Cited by:

    1. Bruno Gonçalves & Diogo Coutinho & Juliana Exel & Bruno Travassos & Carlos Lago & Jaime Sampaio, 2019. "Extracting spatial-temporal features that describe a team match demands when considering the effects of the quality of opposition in elite football," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-20, August.
    2. Markel Rico-González & José Pino-Ortega & Fabio Y. Nakamura & Felipe Arruda Moura & Asier Los Arcos, 2020. "Identification, Computational Examination, Critical Assessment and Future Considerations of Distance Variables to Assess Collective Tactical Behaviour in Team Invasion Sports by Positional Data: A Sys," IJERPH, MDPI, vol. 17(6), pages 1-14, March.

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