Abstract

In European club football, decision makers often rely on recent match outcomes when evaluating team performance, even though short-term results are heavily influenced by randomness. This can lead to systematic misjudgments. In this article, we propose a complementary approach for performance evaluation. We build upon the concept of expected goals based on quantified scoring chances and develop a chart that visualizes situations in which a team’s true performance likely deviates from the performance indicated by match outcomes. This should prevent clubs from making flawed decisions when match outcomes are misleading due to the influence of random forces.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.