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Title: Statistical and machine learning methods in modern football analysis Authors:  Alexander Gerharz - TU Dortmund University (Germany) [presenting]
Abstract: In today's world, professional football clubs are collecting lots of data. The reasons for this are manifold, but the main reasons are (i) to evaluate the fitness of the players, (ii) to scout players from other clubs and (iii) to analyze tactics. The ultimate goal for every football club is to be successful and each of the mentioned reasons can contribute to this goal: it is important to keep your best players healthy, to find the best new players for your club and to help the coaches find the winning tactic for the upcoming game. In recent years, especially technological advancements for generating and collecting data in professional football have risen. To create useful knowledge from this mass of data, the techniques for statistical data analysis have also advanced, and new approaches have been developed.