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.

Kendall correlations and radar charts to include goals for and goals against in soccer rankings / Cerqueti, Roy; Mattera, Raffaele; Ficcadenti, Valerio. - In: COMPUTATIONAL STATISTICS. - ISSN 0943-4062. - (2024). [10.1007/s00180-024-01542-w]

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

Cerqueti, Roy;Mattera, Raffaele;
2024

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.
2024
Ranking; Sport statistics; Radar charts; Football
01 Pubblicazione su rivista::01a Articolo in rivista
Kendall correlations and radar charts to include goals for and goals against in soccer rankings / Cerqueti, Roy; Mattera, Raffaele; Ficcadenti, Valerio. - In: COMPUTATIONAL STATISTICS. - ISSN 0943-4062. - (2024). [10.1007/s00180-024-01542-w]
File allegati a questo prodotto
File Dimensione Formato  
Comp Stat 2024 Soccer Kendall Ficcadenti Mattera.pdf

solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 1.62 MB
Formato Adobe PDF
1.62 MB Adobe PDF   Contatta l'autore

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1721731
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact