Each of our 22 Player Roles is defined as a set of characterising tasks and duties during matches. For instance, we define a Target Man as a striker who excels in aerial duels, holds on the ball higher up the pitch to bring additional teammates into play and converts crosses with powerful headers.
To capture how well a player performs the characterising tasks and duties for each player role, we extract a set of 515 advanced statistics. These statistics include, among others, the number of saves from short-range goal attempts, the number of goalkeeper interceptions outside the penalty area, and the number of passes received in specific areas of the pitch.
Based on how well a player performs on these advanced statistics, our machine learning model automatically rates the player on each of the 22 player roles leading to his Player Role profile.