Logistic Regression

With the rise of Big Data in sports performance analysis based on data and a wide variety of possibilities have opened. In the last, 10 years considerable progress has been made in sports analysis using Machine Learning algorithms. The current chapter defines one such method, ‘Logistic Regression’ as a method for analysing binary problems. It also gives a few hypothetical examples of how it can be used to answer specific problems in the team and individual sports. Furthermore, the chapter outlines a study which has used logistic regression as one of the methods to analyse KPIs in Elite Goalkeepers in Football.