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Over the last few decades, the player recruitment process in professionalfootball has evolved into a multi-billion industry and has thus become of vitalimportance. To gain insights into the general level of their candidatereinforcements, many professional football clubs have access to extensive videofootage and advanced statistics. However, the question whether a given playerwould fit the team's playing style often still remains unanswered. In thispaper, we aim to bridge that gap by proposing a set of 21 player roles andintroducing a method for automatically identifying the most applicable rolesfor each player from play-by-play event data collected during matches.

Distinguishing Between Roles of Football Players in Play-by-play Match Event Data