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Integer optimisation for the selection of a Twenty20 cricket team

Author

Listed:
  • G D Sharp

    (Nelson Mandela Metropolitan University)

  • W J Brettenny

    (Nelson Mandela Metropolitan University)

  • J W Gonsalves

    (Nelson Mandela Metropolitan University)

  • M Lourens

    (Nelson Mandela Metropolitan University)

  • R A Stretch

    (Nelson Mandela Metropolitan University)

Abstract

The attraction of Twenty20 cricket for spectators has sparked huge commercial interest in the marketing of the concept. The International Cricket Council has sanctioned world tournaments, the inaugural tournament in South Africa and the recent 2009 event, while the 2008 and 2009 Indian Premier League tournaments have generated profitable returns for both players and franchise owners. This paper describes methods for quantifying a cricket player's performance based on his ability to score runs and take wickets. These performance measures are then used to determine the optimal team using an integer programme. An illustration of the method is provided using data from the inaugural Twenty20 World Cup held in South Africa in 2007.

Suggested Citation

  • G D Sharp & W J Brettenny & J W Gonsalves & M Lourens & R A Stretch, 2011. "Integer optimisation for the selection of a Twenty20 cricket team," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(9), pages 1688-1694, September.
    • Handle: RePEc:pal:jorsoc:v:62:y:2011:i:9:d:10.1057_jors.2010.122
    DOI: 10.1057/jors.2010.122
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    References listed on IDEAS

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    1. Bracewell Paul J & Ruggiero Katya, 2009. "A Parametric Control Chart for Monitoring Individual Batting Performances in Cricket," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 5(3), pages 1-21, July.
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    Cited by:

    1. Praveen Puram & Soumya Roy & Deepak Srivastav & Anand Gurumurthy, 2023. "Understanding the effect of contextual factors and decision making on team performance in Twenty20 cricket: an interpretable machine learning approach," Annals of Operations Research, Springer, vol. 325(1), pages 261-288, June.
    2. Sahadeb Sarkar & Anirban Banerjee, 2016. "Measuring batting consistency and comparing batting greats in test cricket: innovative applications of statistical tools," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 43(4), pages 365-400, December.
    3. Deepjyoti Choudhury & Dibyojyoti Bhattacharjee, 2020. "Application of Sharpe Ratio to Rank the Performance of Wicketkeepers in Cricket: A Study Based on Last Five IPL Seasons," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 45(2), pages 175-183, May.
    4. Yamini Nekkanti & Dibyojyoti Bhattacharjee, 2020. "Novel Performance Metrics to Evaluate the Duel Between a Batsman and a Bowler," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 45(2), pages 201-211, May.
    5. 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.

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