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Applied and theoretical perspectives of performance analysis in sport: Scientific issues and challenges

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  • Tim McGarry

Abstract

The scientific analysis of sport performance aims at advancing understanding of game behaviour with a view to improving future outcomes. In this article we outline some scientific issues for performance analysis and point towards some possible directions for increased attention in future research. Thus, six inter-linking issues for game analysis are presented for consideration and summarized as follows: First, increased attention should be paid to further developing an understanding of the associations between sports behaviours and sports outcomes; Second, the sports actions observed may not be of equal merit and, instead, some behaviours may be more significant than other behaviours; Third, the interactions between opposing players and/or teams is key for interpreting game behaviour; Fourth, the context in which the sports behaviours are produced offer important information for game analysis; Fifth, the behaviours of players both with and without possession of the sports article must be considered for a complete assessment of game performance, and; Sixth, the player-player dyads constitute a basic unit of analysis for investigating the space-time dynamics of game behaviour. The invitation made here is for a systematic undertaking of each of these inter-linking challenges in future research investigations of sport performance.

Suggested Citation

  • Tim McGarry, 2009. "Applied and theoretical perspectives of performance analysis in sport: Scientific issues and challenges," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 9(1), pages 128-140, April.
  • Handle: RePEc:taf:rpanxx:v:9:y:2009:i:1:p:128-140
    DOI: 10.1080/24748668.2009.11868469
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    Cited by:

    1. Manuel Loureiro & Fábio Yuzo Nakamura & Ana Ramos & Patrícia Coutinho & João Ribeiro & Filipe Manuel Clemente & Isabel Mesquita & José Afonso, 2022. "Ongoing Bidirectional Feedback between Planning and Assessment in Educational Contexts: A Narrative Review," IJERPH, MDPI, vol. 19(19), pages 1-15, September.
    2. Maria Iannario & Rosaria Romano & Domenico Vistocco, 2023. "Dyadic analysis for multi-block data in sport surveys analytics," Annals of Operations Research, Springer, vol. 325(1), pages 701-714, June.
    3. Liandi Van den Berg, 2019. "The variance of information management by South African sport coaches within different competitive levels," Proceedings of International Academic Conferences 9912356, International Institute of Social and Economic Sciences.
    4. 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.
    5. Rosa Fabbricatore & Maria Iannario & Rosaria Romano & Domenico Vistocco, 2023. "Component-based structural equation modeling for the assessment of psycho-social aspects and performance of athletes," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 107(1), pages 343-367, March.
    6. Devansh Patel & Dhwanil Shah & Manan Shah, 2020. "The Intertwine of Brain and Body: A Quantitative Analysis on How Big Data Influences the System of Sports," Annals of Data Science, Springer, vol. 7(1), pages 1-16, March.

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