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Factors affecting the result of matches in the one day format of cricket

Author

Listed:
  • Ananda Bandulasiri
  • Tom Brown
  • Indika Wickramasinghe

Abstract

Factors contributing to winning games are imperative, as the ultimate objective in a game is victory. The aim of this study was to identify the factors that characterize the game of cricket, and to investigate the factors that truly influence the result of a game using the data collected from the Champions Trophy cricket tournament. According to the results, this cricket tournament can be characterized using the factors of batting, bowling, and decision-making. Further investigation suggests that the rank of the team and the number of runs they score have the most significant influence on the result of games. As far as the effectiveness of assigning bowlers is concerned, the Australian team has done a fabulous job compared to the rest of the teams.

Suggested Citation

  • Ananda Bandulasiri & Tom Brown & Indika Wickramasinghe, 2016. "Factors affecting the result of matches in the one day format of cricket," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 26(4), pages 21-32.
    • Handle: RePEc:wut:journl:v:4:y:2016:p:21-32:id:1226
    DOI: 10.5277/ord160402
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    References listed on IDEAS

    as
    1. Alan C. Kimber & Alan R. Hansford, 1993. "A Statistical Analysis of Batting in Cricket," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 156(3), pages 443-455, May.
    2. A J Lewis, 2005. "Towards fairer measures of player performance in one-day cricket," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(7), pages 804-815, July.
    3. Philip Scarf & Xin Shi & Sohail Akhtar, 2011. "On the distribution of runs scored and batting strategy in test cricket," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(2), pages 471-497, April.
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