Analyzing Soccer Players’ Skill Ratings Over Time Using Tensor-Based Methods
Published in Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2019. Communications in Computer and Information Science, volume 1168, 2020
Recommended citation: Verstraete K., Decroos T., Coussement B., Vannieuwenhoven N., Davis J. (2020) Analyzing Soccer Players’ Skill Ratings Over Time Using Tensor-Based Methods. In: Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2019. Communications in Computer and Information Science, vol 1168. Springer, Cham. https://doi.org/10.1007/978-3-030-43887-6_17 https://doi.org/10.1007/978-3-030-43887-6_17
Soccer players have a variety of skills such as passing, tackling, shooting and dribbling. However, their abilities are not fixed and evolve over time. Understanding this evolution could be interesting from many perspectives. We analyze player skill data from the FIFA video game series by EA Sports using tensor methods.