One of the most popular features in the FIFA18 game is the career mode, where the target of the users is to improve their teams and win as much competitions as possible. Usually, it is hard for the users to decide which players to select to buy to maximally improve their team by taking into account all different players' attributes. In this paper, we introduce an approach towards helping the users to both determine the worst player in a specific team and recommend a list of players seen as possible replacement to improve the team.
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