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Extending the range of player-performance measures in one-day cricket

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  • A J Lewis

    (Oxford Brookes University)

Abstract

The author's previous paper on this topic showed that the Duckworth/Lewis methodology has considerable potential for providing relevant and objective measures of performance in one-day cricket. The present paper evaluates how these measures can apply in the longer term. This assessment is based upon several series of matches involving the main players from most of the major cricketing nations. Although data used are not exhaustive, they are of sufficient quantity to provide strong indications of the long-term viability of the measures, thus leading to the realistic expectation of inclusion of the methodology into the existing player-rankings or the development of an independent set of performance indicators that reflect more validly the value of players' inputs to matches. Such measures are expected to be of valuable use to team management, media commentators and to the public.

Suggested Citation

  • 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.
    • Handle: RePEc:pal:jorsoc:v:59:y:2008:i:6:d:10.1057_palgrave.jors.2602379
    DOI: 10.1057/palgrave.jors.2602379
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. G D I Barr & B S Kantor, 2004. "A criterion for comparing and selecting batsmen in limited overs cricket," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(12), pages 1266-1274, December.
    4. Ali, Mukhtar M., 1975. "Stochastic dominance and portfolio analysis," Journal of Financial Economics, Elsevier, vol. 2(2), pages 205-229, June.
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    Cited by:

    1. Arnab Adhikari & Adrija Majumdar & Gaurav Gupta & Arnab Bisi, 2020. "An innovative super-efficiency data envelopment analysis, semi-variance, and Shannon-entropy-based methodology for player selection: evidence from cricket," Annals of Operations Research, Springer, vol. 284(1), pages 1-32, January.
    2. Deepak Srivastav & Puram Praveen & Rudra Sensarma & Anand Gurumurthy, 2021. "Does salary dispersion affect team performance in cricket? Evidence from the Indian Premier League," Working papers 441, Indian Institute of Management Kozhikode.
    3. Sahadeb Sarkar & Subhasis Mishra & Sanjeev Kumar, 2022. "Development of a Comprehensive Multi-Factor Method for Comparing Batting Performances in One-Day International Cricket," IIM Kozhikode Society & Management Review, , vol. 11(1), pages 92-108, January.
    4. Wei Yin & Zhixiao Ye & Wasi Ul Hassan Shah, 2023. "Indices Development for Player’s Performance Evaluation through the Super-SBM Approach in Each Department for All Three Formats of Cricket," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    5. 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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