Journal of Sports Science and Medicine
Journal of Sports Science and Medicine
ISSN: 1303 - 2968   
Ios-APP Journal of Sports Science and Medicine
Androit-APP Journal of Sports Science and Medicine
from September 2014
©Journal of Sports Science and Medicine (2006) 05, 503 - 508

Research article
Stochastic Dominance and Analysis of ODI Batting Performance: the Indian Cricket Team, 1989-2005
Uday Damodaran 
Author Information
XLRI Jamshedpur School of Management, Jamshedpur, Jharkand, India

Uday Damodaran
✉ XLRI Jamshedpur School of Management, Jamshedpur, Jharkand, India
Publish Date
Received: --
Accepted: --
Published (online): 15-12-2006
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Relative to other team games, the contribution of individual team members to the overall team performance is more easily quantifiable in cricket. Viewing players as securities and the team as a portfolio, cricket thus lends itself better to the use of analytical methods usually employed in the analysis of securities and portfolios. This paper demonstrates the use of stochastic dominance rules, normally used in investment management, to analyze the One Day International (ODI) batting performance of Indian cricketers. The data used span the years 1989 to 2005. In dealing with cricketing data the existence of ‘not out’ scores poses a problem while processing the data. In this paper, using a Bayesian approach, the ‘not-out’ scores are first replaced with a conditional average. The conditional average that is used represents an estimate of the score that the player would have gone on to score, if the ‘not out’ innings had been completed. The data thus treated are then used in the stochastic dominance analysis. To use stochastic dominance rules we need to characterize the ‘utility’ of a batsman. The first derivative of the utility function, with respect to runs scored, of an ODI batsman can safely be assumed to be positive (more runs scored are preferred to less). However, the second derivative needs not be negative (no diminishing marginal utility for runs scored). This means that we cannot clearly specify whether the value attached to an additional run scored is lesser at higher levels of scores. Because of this, only first-order stochastic dominance is used to analyze the performance of the players under consideration. While this has its limitation (specifically, we cannot arrive at a complete utility value for each batsman), the approach does well in describing player performance. Moreover, the results have intuitive appeal.

Key words: Bayesian, utility function, batting average, conditional average, geometric distribution

           Key Points
  • The problem of dealing with ‘not out’ scores in cricket is tackled using a Bayesian approach.
  • Stochastic dominance rules are used to characterize the utility of a batsman.
  • Since the marginal utility of runs scored is not diminishing in nature, only first order stochastic dominance rules are used.
  • The results, demonstrated using data for the Indian cricket team are intuitively appealing.
  • The limitation of the approach is that it cannot arrive at a complete utility value for the batsman.
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