Cited by 11Sports Performance and TrainingSports Analytics and PerformanceSport Psychology and Performance

Team technical performance in elite men’s and women’s T20 cricket – determinants of performance within a match and across a season

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Bhardwaj, Dhanur, Dwyer, Dan B·2022·International Journal of Performance Analysis in Sport

Abstract

There have been a small number of analyses of team technical performance in 20-over (T20) cricket that have identified total wickets and runs as critical determinants of match outcome. The present study aimed to extend on these findings by using a wide range of technical performance indicators, a larger sample size, a whole-of-season perspective and an analysis of women’s teams. Team technical performance in 400 and 180 innings of men’s (2017–2021) and women’s (2019–2021) T20 cricket in the professional leagues in Australia were analysed. Batting performance characteristics appear to be more important than bowling characteristics, which is even more pronounced in women’s T20 cricket. The most important bowling characteristic relate to how quickly the first 3 to 5 batters are dismissed. These determinants of match outcome also reflect the characteristics that explain whole-of-season performance. The determinants of performance in women’s T20 cricket are largely the same as in men’s, although there may be an opportunity for some women’s teams to focus on bowling performance as a decisive factor in their match strategy. The findings of this study indicate specific aspects of batting and bowling performance that can influence the goals of training and the design of match strategies.

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Crossref · 10.1080/24748668.2022.2045820

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  • Previous performance analysis research in T20 cricket has examined performance indicators related to batting and bowling or applied machine learning techniques to predict match outcomes.

    “While previous performance analysis research in T20 cricket has examined performance indicators related to batting and bowling (Bhardwaj & Dwyer, 2022;Douglas & Tam, 2010;Irvine & Kennedy, 2017;Moore et al., 2012;Najdan et al., 2014;Petersen et al., 2008) or applied machine learning techniques to predict match outcomes (Basit et al., 2020;Dubey et al., 2020;Ishi & Patil, 2021;Kapadia et al., 2020;”
  • Winning teams have been reported to score a higher number of total runs from boundaries.

    “As winning teams have been reported to score a higher number of total runs from boundaries (Bhardwaj & Dwyer, 2022;Douglas & Tam, 2010;Irvine & Kennedy, 2017;Moore et al., 2012;C. Petersen et al., 2008)”

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Authors
Bhardwaj, D., & Dwyer, D. B.
Affiliations
Deakin University (AU)
Corresponding author
Dwyer, Dan B
Venue
International Journal of Performance Analysis in Sport
Published
2022-03-04
Volume
22
Issue
2
Pages
277-290
ISSN
  • 1474-8185 (ISSN-L)
  • 2474-8668
OpenAlex
W4214944388
Cited by
11
References
2
Citations by year
2026: 3 · 2025: 8
FWCI
2.07
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • International Journal of Performance Analysis in Sport (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • Figshare (submittedVersion, cc-by)
Funders
associated with the work featured in this
Topics
  • Health Sciences › Medicine › Orthopedics and Sports Medicine › Sports Performance and Training
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Sports Analytics and Performance
  • Social Sciences › Psychology › Developmental and Educational Psychology › Sport Psychology and Performance
Keywords
T20 cricket, batting performance, bowling performance, women's cricket, match strategy, wickets, runs

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