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Towards fairer measures of player performance in one-day cricket

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  • A J Lewis

    (Oxford Brookes University)

Abstract

Traditionally, evaluation of individual player performances in one-day cricket has been based on measures such as batting and bowling averages, and strike and economy rates. It is recognized, within the game of cricket, that such measures have severe limitations in assessing the true performances and abilities of players. Whenever a player's performance statistics are quoted, there is nearly always some verbal qualification that is necessary in order to place the statistics into context. Such comments include the stage of an innings a player usually bats or bowls, as this significantly affects a player's opportunity for scoring runs or taking wickets. Further, traditional measures do not allow the comparison of the skills of batting and bowling as they are based on incompatible scales. This paper uses the well-established Duckworth/Lewis methodology to create alternative measures of player performance. These measures, it is argued, have the potential to reflect better the performances of players having regard for the stages of innings that runs are scored or conceded and wickets taken or lost. The proposed measures could impact in evaluating player performance for a particular match, a series of matches, or in the longer term over players' careers. Further, the methodology enables an objective measure to be created that compares and combines the performances of batsmen and bowlers and of a player's all-round ability. Data from international matches are used to illustrate the methodology and how it compares with existing measures.

Suggested Citation

  • 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.
  • Handle: RePEc:pal:jorsoc:v:56:y:2005:i:7:d:10.1057_palgrave.jors.2601876
    DOI: 10.1057/palgrave.jors.2601876
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    References listed on IDEAS

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    1. F C Duckworth & A J Lewis, 2004. "A successful operational research intervention in one-day cricket," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(7), pages 749-759, July.
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    Cited by:

    1. Subhasis Ray, 2021. "Identification of Research Paradigms for Managing the Cricketing Ecosystem Using Stakeholder Analysis and Text Mining," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 46(3), pages 289-312, August.
    2. Dibyojyoti Bhattacharjee & Hemanta Saikia, 2016. "An objective approach of balanced cricket team selection using binary integer programming method," OPSEARCH, Springer;Operational Research Society of India, vol. 53(2), pages 225-247, June.
    3. Ian G. McHale & Philip A. Scarf & David E. Folker, 2012. "On the Development of a Soccer Player Performance Rating System for the English Premier League," Interfaces, INFORMS, vol. 42(4), pages 339-351, August.
    4. Hemanta Saikia, 2020. "Quantifying the Current Form of Cricket Teams and Predicting the Match Winner," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 45(2), pages 151-158, May.
    5. A J Lewis, 2008. "Extending the range of player-performance measures in one-day cricket," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(6), pages 729-742, June.
    6. Espitia-Escuer, Manuel A. & García-Cebrián, Lucía Isabel, 2012. "Diversificación en la configuración de los equipos de la primera división española de fútbol/Diversification in the Team Configuration of the Spanish Football First Division," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 30, pages 527-544, Agosto.
    7. 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.
    8. Akhtar, Sohail & Scarf, Philip, 2012. "Forecasting test cricket match outcomes in play," International Journal of Forecasting, Elsevier, vol. 28(3), pages 632-643.

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