Work

Kendall correlations and radar charts to include goals for and goals against in soccer rankings

Year: 2024

Type: article

Abstract: This paper deals with the challenging themes of the way sporting teams and athletes are ranked in sports competitions. Starting from the paradigmatic case of soccer, we advance a new method for ranking teams in the official national championships through computational statistics methods based on Kendall correlations and radar charts. In detail, we consider the goals for and against the teams in the individual matches as a further source of score assignment beyond the usual win-tie-lose trichotomy. Our approach overcomes some biases in the scoring rules that are currently employed. The methodological proposal is tested over the relevant case of the Italian “Serie A” championships played during 1930–2023.

Source: Computational Statistics

DOI: 10.1007/s00180-024-01542-w

Authors: Roy Cerqueti, Raffaele Mattera, Valerio Ficcadenti

Institutions: Université d'Angers, Sapienza University of Rome, London South Bank University

Language: English

Topic: Sports Analytics and Performance

Subfield: Economics and Econometrics

Field: Economics, Econometrics and Finance

Domain: Social Sciences

Open Access status: hybrid

Estimated APC paid: $3,090

Funder: Sapienza Università di Roma