Literature DB >> 7853454

A stochastic approach to predicting competition squash match-play.

T McGarry1, I M Franks.   

Abstract

Modelling sport competition is an informative analytic technique for the investigation of athletic behaviour because it focuses attention on the critical aspects of data which characterize sporting success. A stochastic (Markov) model of championship squash match-play is reported which infers prospective behaviour from previous sport performance through forecasting shot response and associated outcome from the preceding shot. The results presently restrict the model to the competing players already analysed because, while a consistent athletic response was established when competing against the same opponent (P > 0.25), an inconsistent response was found when competing against different opponents (P < 0.25). These results may impact the information value traditionally drawn from previous sport analysis. The hypothesis that future squash match-play can be successfully predicted from previous sport performance requires further investigation, since it remains unclear whether the present analysis failed to identify the preceding condition(s) which elicit a reasonably stable behavioural response, or indeed whether athletic behaviour in championship squash is more variant than initially believed. Alternative modelling considerations are discussed and a refinement to the present model is proposed in an effort to improve future model utility and application.

Mesh:

Year:  1994        PMID: 7853454     DOI: 10.1080/02640419408732208

Source DB:  PubMed          Journal:  J Sports Sci        ISSN: 0264-0414            Impact factor:   3.337


  4 in total

1.  The effect of court location and available time on the tactical shot selection of elite squash players.

Authors:  Goran Vučković; Nic James; Mike Hughes; Stafford Murray; Goran Sporiš; Janez Perš
Journal:  J Sports Sci Med       Date:  2013-03-01       Impact factor: 2.988

2.  Development of a Taekwondo Combat Model Based on Markov Analysis.

Authors:  Cristina Menescardi; Coral Falco; Concepción Ros; Verónica Morales-Sánchez; Antonio Hernández-Mendo
Journal:  Front Psychol       Date:  2019-10-01

3.  Evaluation of the Technical Performance of Football Players in the UEFA Champions League.

Authors:  Qing Yi; Miguel-Ángel Gómez-Ruano; Hongyou Liu; Shaoliang Zhang; Binghong Gao; Fabian Wunderlich; Daniel Memmert
Journal:  Int J Environ Res Public Health       Date:  2020-01-17       Impact factor: 3.390

4.  Interactive Three-Phase Structure for Table Tennis Performance Analysis: Application To Elite Men's Singles Matches.

Authors:  Jiangchuan Yu; Peng Gao
Journal:  J Hum Kinet       Date:  2022-02-10       Impact factor: 2.193

  4 in total

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