Different sports have different fan base and in addition to this, there is a lot of crazes, enthusiasm, and zeal among people mainly youngsters. Cricket is one among them which has tremendous popularity not only among youngsters but also among all age groups. This will create a kind of pressure among the 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. As the game cannot be won by a single player or by openers or others as well, rather it is a collective effort of all the members of the team. So, 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 (Multi criteria 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-keeper, and bowlers) and 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 done to properly visualize the proposed model.