PL EN


2016 | 26 | 4 | 21-32
Article title

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

Content
Title variants
Languages of publication
EN
Abstracts
EN
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.
Year
Volume
26
Issue
4
Pages
21-32
Physical description
Contributors
  • Department of Mathematics and Statistics, Sam Houston State University, Huntsville, Texas 77341, USA, abandulasiri@shsu.edu
author
  • Department of Mathematical Sciences, Eastern New Mexico University, Station 18, 1500 S Ave K, Portales, NM 88130, USA, tombrown@enmu.edu
References
  • BAILEY M., Predicting sporting outcomes, A Statistical approach: PhD thesis. Swinburne University, Melbourne, 2005.
  • BAILEY M., CLEARKE S R., Predicting the match outcome in one-day international cricket matches, while the game is in progress. Journal of sports Science and Medicine, 2006, Vol. 5, pp. 480-487.
  • BEAUDOIN D., SWARTZ T., The best batsmen and bowlers in one-day cricket. South African Statistics Journal. 2003, Vol. 37, pp. 203-222.
  • BRAIDO P., ZHANG X., Quantitative analysis of finger motion coordination in hand manipulative and gestic acts. Human Movement Science. 2006, Vol. 22, pp. 661–678.
  • DAWSON P., MORLEY M., PATON D., THOMAS D., To bat or not to bat: An examination of match outcomes in day-night limited overs cricket. Journal of the Operational Research Society, 2009, Vol. 60, pp. 1786–1793.
  • DE SLIVA B M., SWARTZ T B., Winning the coin toss and the home team advantage in one-day international cricket matches. New Zealand Statistician, 1997, Vol. 32, pp. 16-22.
  • FIELD A., Discovering Statistics Using SPSS (3rd Edition). Sage Publications Inc. 2009.
  • KALUARACHCHI A., A classification based tool to predict the outcome in ODI cricket. 5th International Conference on Information and Automation for Sustainability (ICIAFs), 2010.
  • KIMBER A C., and HANSFORD A. R. A statistical analysis of batting in cricket. Journal of Royal Statistical Society, 1993, Vol. 156, pp. 443- 455.
  • KOULIS T., MUTHUKUMARANA S., BRIERCLIFFE C D., A Bayesian stochastic model for batting performance evaluation in one-day cricket. Journal of Quantitative Analysis in Sports, 2014, Vol. 10, pp. 1–13.
  • LEMMER H., An analysis of players’ performances in the first cricket Twenty20 World Cup Series, South African Journal for Research in Sport, Physical Education and Recreation, 2008, Vol. 30(2), pp. 71-77.
  • LEWIS, A. J., Towards fairer measures of player performance in one-day cricket, Journal of the Operational Research Society, 2005, Vol. 56, pp. 804–815.
  • MANAGE A., Predicting the winner in one day international cricket. Journal of Mathematical Sciences & Mathematics Education, 2006, Vol. 3 (1).
  • MANAGE A., SCRIANO S M., HALLUM C R., Performance analysis of T20-World Cup Cricket 2012. Sri Lankan Journal of Applied Statistics, 2013, Vol. 14 (1).
  • MORLEY B., THOMAS D., An investigation of home advantage and other factors affecting outcomes in English one-day cricket matches. Journal of Sports Sciences, 2005, Vol. 23 (3), pp. 261-268.
  • NAIK D N., KHATTREE R., Revisiting Olympic track records: Some practical considerations in the principal component analysis. The American Statistician, 1996, Vol. 50 (2), pp. 140-144.
  • PAUL A., STEPHEN R., Factors affecting outcomes in test match cricket. Proceedings of the Sixth Australian Conference on Mathematics and Computers in Sport, Bond University, Queensland, 2002.
  • SADEGHI H., ALLARD P., DUHAUME M., Functional gait asymmetry in able-bodied subjects. Human Movements Science, 1997, Vol.16, pp. 243–258.
  • SCARF, P., SHI, X., AKHTAR, S., On the distribution of runs scored and batting strategy in test cricket. Journal of the Royal Statistical Society: Series A (Statistics in Society), 2011, 174, pp. 471–497.
  • TAN, A., & ZHANG, D., Distribution of batting scores and opening wicket partnerships in cricket. Applied Probability Trust, 2011
  • WICKRAMASINGHE R I P., Bowlers’ performances in 2013 Champions Trophy, Annals of Applied Sport Science, 2014, Vol. 2(1), pp. 01-10.
  • WITTEA K., GANTER N., BAUMGART C., PEHAM C., Applying a principal component analysis to movement coordination in sport, Mathematical and Computer Modelling of Dynamical Systems, 2010, Vol.16 (5), pp. 477–488.
  • WU J., WANG J., LIU L., Feature extraction via KPCA for classification of gait patterns. Human Movements. Science, 2007, Vol. 26 (3), pp. 393–411.
Document Type
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.desklight-6d76cec2-6d4e-4c73-ad59-a2b82abbb864
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