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Analysis of team performances at the ICC World Twenty20 Cup 2009

Douglas, M. Jason, Tam, Nicholas·2010·International Journal of Performance Analysis in Sport
DOI 10.1080/24748668.2010.11868500
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Abstract

Cricket has evolved in recent years and has resulted in the emergence of Twenty20 cricket. We examined the batting, bowling and fielding variables associated with success in cricket in the recent Twenty20 World Cup. We compared several key batting and bowling variables of winning and non-winning teams by comparing the magnitudes of differences (Cohen’s effect size). We established several moderate or large differences between winning and losing teams with respect to batting, bowling and fielding variables. The best indicators of success in the tournament can be broken down into general match, batting and fielding variables. The top 5 indicators for success in the tournament were losing less wickets in the game (ES= −1.66), losing less wickets in the powerplay while batting (ES= −1.22), scoring more runs per over (ES= 1.23), scoring more runs in the middle eight overs (ES= 0.86) and bowling more dot balls (ES= 1.15). Thus it could be concluded that for overall success in Twenty20 cricket, teams should focus on taking wickets and bowling dot balls whilst fielding, and implementing tactics that encourage 50+ partnerships and boundary hitting batsmen whilst batting.

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Crossref · 10.1080/24748668.2010.11868500

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  • 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)”

    From Position-specific fielding instances and utilisation in professional men’s T20 cricket (2026) · cites this paper as Douglas & Tam, 2010

  • 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;”

    From Position-specific fielding instances and utilisation in professional men’s T20 cricket (2026) · cites this paper as Douglas & Tam, 2010

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Metadata

Authors
Douglas, M. J., & Tam, N.
Affiliations
University of Cape Town (ZA)
Corresponding author
Douglas, M. Jason
Venue
International Journal of Performance Analysis in Sport
Publisher
Informa UK Limited
Published
2010-04
Volume
10
Issue
1
Pages
47-53
ISSN
  • 1474-8185 (ISSN-L)
  • 2474-8668
DOI
10.1080/24748668.2010.11868500
OpenAlex
W2684553197
Cited by
39
References
0
Citations by year
2026: 3 · 2025: 8 · 2024: 2 · 2023: 7 · 2022: 3 · 2021: 3 · 2020: 3 · 2019: 2 · 2018: 1 · 2017: 2 · 2016: 1 · 2015: 1 · 2014: 2
FWCI
0.76
Type
journal article
Language
en
Open access
closed
Locations
  • International Journal of Performance Analysis in Sport (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Sports Analytics and Performance
  • Health Sciences › Medicine › Orthopedics and Sports Medicine › Sports Performance and Training
  • Social Sciences › Psychology › Developmental and Educational Psychology › Sport Psychology and Performance
Keywords
T20 cricket, team performance, batting performance, bowling performance, winning and losing teams, match tactics

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