In elite soccer, decisions are often based on recent results and emotions. In this paper, we propose a method to determine the expected winner of a match in elite soccer. The expected result of a soccer match is determined by estimating the probability of scoring for the individual goal scoring opportunities. The outcome of a match is then obtained by integrating these probabilities. In our experimental study, we show that the probabilities of goal scoring opportunities accurately match reality
© Copyright 2016 Machine Learning and Data Mining for Sports Analytics ECML/PKDD 2016 workshop. Published by Department of Computer Science, KU Leuven. All rights reserved.