Data Mining has become a vital component in business development today due to its importance in assisting in decision making that can subsequently result in organisational growth as well as preparation for facing various market scenarios. The sports industry is one such where the application of various mining,analytical and statistical techniques has been used to perform analyses of performance and training,medical studies to assist in player selection and recruitment. This study proposes a method where statistical analyses are used in order to effectively analyze player performance and determine solutions to player selection and recruitment in Football. Various sports have already seen the implementation of data science or analytics techniques with various reference material,research and publications regarding statistical approaches contributing to expanding its outreach. Football,however,has been slow in applying similar approaches. An attempt to bridge the gap between a data scientific approach and the sport by introducing an approach along the lines of the similar techniques used in various sports is proposed. Certain techniques of analyzing team and player performance statistics and utilizes the results to devise an effective method of player selection and recruitment based on historical performance data are introduced. A number of scenarios are considered in order to explain each method efficiently. Also,a ranking methodology is proposed which uses the performance data in order to effectively rank the players of the specific team based on their previous performances. © 2016,International Journal of Pharmacy and Technology. All rights reserved.