Analytical Evaluation of Performance of Cricket Squad by ANP-DEA

Abstract

Different sports have different fan bases. In addition to this, there is a lot of craze, enthusiasm, and zeal among people, mainly youngsters. Cricket is one among them that has tremendous popularity not only among youngsters, but among all age groups. This creates a kind of pressure among team members to perform well in every game, as well as on the selectors to select the best players for the opening, middle orders, wicketkeeping, and bowling from the pool of players. A game cannot be won by a single player or by openers, among others; rather, it is a collective effort of all the members of the team. As such, it is necessary and one of the most important tasks to choose the players wisely so that they play well in their respective position. In this study, we try to formulate a model using MCDM (multicriteria decision-making techniques), which evaluates not only the performance of the players, but also the performance of different sets (i.e., openers, middle orders, wicket-keepers, and bowlers). For this, we propose a novel ANP-DEA (analytic network process–data envelopment analysis) technique and evaluate the best and worst performing set and their performance evaluation. A case study is conducted to properly visualize the proposed model.

Keywords

• cricket
• MCDM
• ANP
• DEA
• performance evaluation