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The Probabilistic Final Standing Calculator: a fair stochastic tool to handle abruptly stopped football seasons
The COVID-19 pandemic has left its marks in the sports world, forcing the full stop of all sports-related activities in the first half of 2020. Football leagues were suddenly stopped, and each country was hesitating between a relaunch of the competition and a premature ending. Some opted for the lat...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8355582/ https://www.ncbi.nlm.nih.gov/pubmed/34394759 http://dx.doi.org/10.1007/s10182-021-00416-6 |
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author | Van Eetvelde, Hans Hvattum, Lars Magnus Ley, Christophe |
author_facet | Van Eetvelde, Hans Hvattum, Lars Magnus Ley, Christophe |
author_sort | Van Eetvelde, Hans |
collection | PubMed |
description | The COVID-19 pandemic has left its marks in the sports world, forcing the full stop of all sports-related activities in the first half of 2020. Football leagues were suddenly stopped, and each country was hesitating between a relaunch of the competition and a premature ending. Some opted for the latter option and took as the final standing of the season the ranking from the moment the competition got interrupted. This decision has been perceived as unfair, especially by those teams who had remaining matches against easier opponents. In this paper, we introduce a tool to calculate in a fairer way the final standings of domestic leagues that have to stop prematurely: our Probabilistic Final Standing Calculator (PFSC). It is based on a stochastic model taking into account the results of the matches played and simulating the remaining matches, yielding the probabilities for the various possible final rankings. We have compared our PFSC with state-of-the-art prediction models, using previous seasons which we pretend to stop at different points in time. We illustrate our PFSC by showing how a probabilistic ranking of the French Ligue 1 in the stopped 2019–2020 season could have led to alternative, potentially fairer, decisions on the final standing. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10182-021-00416-6. |
format | Online Article Text |
id | pubmed-8355582 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-83555822021-08-11 The Probabilistic Final Standing Calculator: a fair stochastic tool to handle abruptly stopped football seasons Van Eetvelde, Hans Hvattum, Lars Magnus Ley, Christophe Adv Stat Anal Original Paper The COVID-19 pandemic has left its marks in the sports world, forcing the full stop of all sports-related activities in the first half of 2020. Football leagues were suddenly stopped, and each country was hesitating between a relaunch of the competition and a premature ending. Some opted for the latter option and took as the final standing of the season the ranking from the moment the competition got interrupted. This decision has been perceived as unfair, especially by those teams who had remaining matches against easier opponents. In this paper, we introduce a tool to calculate in a fairer way the final standings of domestic leagues that have to stop prematurely: our Probabilistic Final Standing Calculator (PFSC). It is based on a stochastic model taking into account the results of the matches played and simulating the remaining matches, yielding the probabilities for the various possible final rankings. We have compared our PFSC with state-of-the-art prediction models, using previous seasons which we pretend to stop at different points in time. We illustrate our PFSC by showing how a probabilistic ranking of the French Ligue 1 in the stopped 2019–2020 season could have led to alternative, potentially fairer, decisions on the final standing. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10182-021-00416-6. Springer Berlin Heidelberg 2021-08-11 2023 /pmc/articles/PMC8355582/ /pubmed/34394759 http://dx.doi.org/10.1007/s10182-021-00416-6 Text en © Springer-Verlag GmbH Germany, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Paper Van Eetvelde, Hans Hvattum, Lars Magnus Ley, Christophe The Probabilistic Final Standing Calculator: a fair stochastic tool to handle abruptly stopped football seasons |
title | The Probabilistic Final Standing Calculator: a fair stochastic tool to handle abruptly stopped football seasons |
title_full | The Probabilistic Final Standing Calculator: a fair stochastic tool to handle abruptly stopped football seasons |
title_fullStr | The Probabilistic Final Standing Calculator: a fair stochastic tool to handle abruptly stopped football seasons |
title_full_unstemmed | The Probabilistic Final Standing Calculator: a fair stochastic tool to handle abruptly stopped football seasons |
title_short | The Probabilistic Final Standing Calculator: a fair stochastic tool to handle abruptly stopped football seasons |
title_sort | probabilistic final standing calculator: a fair stochastic tool to handle abruptly stopped football seasons |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8355582/ https://www.ncbi.nlm.nih.gov/pubmed/34394759 http://dx.doi.org/10.1007/s10182-021-00416-6 |
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