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Measuring batting consistency and comparing batting greats in test cricket: innovative applications of statistical tools

Author

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  • Sahadeb Sarkar

    (Indian Institute of Management Calcutta)

  • Anirban Banerjee

    (Indian Institute of Management Calcutta)

Abstract

This paper examines the intriguing problem of comparing great batsmen in test cricket across different eras. Traditional method of calculating a batsman’s batting average may be justified under the assumption that runs scored in various complete and incomplete innings by a batsman form a random sample from an exponential or a geometric distribution. This assumption, however, leads to undesirably having batting inconsistency or standard deviation uniquely determined by the batting mean. To correct this drawback, we propose use of the Weibull distribution model. First, the Weibull model is seen to provide a far superior fit to the test cricket data of our study. Second, the maximum likelihood estimate (MLE) of the batting standard deviation is found to provide a very sensible estimate of batting inconsistency. Third, the resulting MLE of the batting mean in case of Bradman turns out to be 109.42 instead of 99.94. Fourth, we define player longevity as a third criterion and introduce an index for quality-runs scored as a function of opposition strength and another measure for diversity of opponent teams encountered by a player. Fifth, the Mahalanobis distance is used for overall ranking of a select group of batting greats on the basis of various combinations of these five criteria, without assigning any subjective weights to them. Finally, multivariate statistical outlier detection technique affirms two players as truly outstanding—Bradman for his batting average and quality of runs scored, and Tendulkar for his longevity and opposition diversity he faced. The proposed techniques used here may easily be applied in sports management for ranking players available for procurement and in investment management for rating various financial assets.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:decisn:v:43:y:2016:i:4:d:10.1007_s40622-016-0135-3
    DOI: 10.1007/s40622-016-0135-3
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    References listed on IDEAS

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    1. Madad Khan & Inam Ul Haq & Muhammad Zeeshan & Saima Anis & Muhammad Bilal, 2022. "Multicriteria decision-making method under the complex Pythagorean fuzzy environment," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 49(4), pages 415-434, December.
    2. Shankha Shubhra Goswami & Dhiren Kumar Behera, 2021. "Evaluation of the best smartphone model in the market by integrating fuzzy-AHP and PROMETHEE decision-making approach," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 48(1), pages 71-96, March.
    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.

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