Best Fit Player Acquisition and Squad Personnel System in Football for Sports

Transfer of players between different football clubs happens in a particular time interval called transfer window. The issue with the present transfer market business model is that target players are chosen at the whim of the club's scouts, coaches, managers, and owners rather than using data-driven, objective approaches. This paper aims at obtaining individual attributes of various players and analyzing whether a player bought by a particular club would improve that team's overall gameplay in the upcoming seasons in a data-driven perspective. It does this by using machine learning to perform analysis and clustering. The use case considered is a football club called Norwich City. Data for the same has been collected and analyzed from fbref.com, the largest detailed football statistics website.