To determine whether a player matches a given Player Role, we analyze all match event data such as passes, shots, dribbles, crosses, interceptions and tackles. By comparing this data with the characteristics of every Player Role, we determine how much the player matches certain Player Roles. Our machine learning model automatically rates the player in terms of each of the 22 player roles leading to his Player Role profile.

Check this article to find out what our Player Roles are based on.

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