Adoption of a ranking based indexing method for the cricket teams

Abstract

Cricket teams are ranked to indicate their supremacy over their counter peers in order to get precedence. Various authors have proposed different statistical techniques in cricketing works to evaluate teams. However, it does not work well to realize the consistency of the teams’ performance. The intuition of this paper is not only used to rank and evaluate teams using their winning and losing statistics, but also takes into account different bowling and batting performance metrics of every single team against others and also includes other non-cricketing attributes like the toss, home ground factor, etc. With this aim, effective features are constructed for evaluating bowling and batting precedence of teams with others. Eventually, these features are integrated to formulate the Consistency Index Rank (CIR) to rank cricket teams. The performance of the proposed methodology is investigated with recent state-of-the-art works and International Cricket Council (ICC) rankings using the Spearman Rank Correlation Coefficient for all the 3 formats of cricket, i.e., Test, One Day International (ODI), and Twenty20 (T20). The results indicate that the proposed ranking methods yield quite more encouraging insights than the recent state-of-the-art works and can be acquired for ranking cricket teams.