Cargando…
Match-Related Statistics Differentiating Winning and Losing Teams at the 2019 Africa Cup of Nations Soccer Championship
This study investigated game-related statistics differentiating the winning and losings teams of matches during the 2019 African Cup of Nations (AFCON) soccer tournament. The sample consisted of 38 games, with the data obtained from the InStat Scout platform. Data were analyzed using mean (M), SD, e...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8913890/ https://www.ncbi.nlm.nih.gov/pubmed/35280227 http://dx.doi.org/10.3389/fspor.2022.807198 |
_version_ | 1784667560004812800 |
---|---|
author | Kubayi, Alliance Larkin, Paul |
author_facet | Kubayi, Alliance Larkin, Paul |
author_sort | Kubayi, Alliance |
collection | PubMed |
description | This study investigated game-related statistics differentiating the winning and losings teams of matches during the 2019 African Cup of Nations (AFCON) soccer tournament. The sample consisted of 38 games, with the data obtained from the InStat Scout platform. Data were analyzed using mean (M), SD, effect size (ES), structure coefficients (SCs), and the Wilcoxon signed-rank test. The results showed that the winning teams performed significantly better than the losing teams in terms of shots (M = 12.13, SD = 4.67, Z = −2.26, ES = 0.62), shots on target (M = 5.05, SD = 2.54, Z = −4.22, ES = 1.13), and shots from counter-attacks (M = 2.24, SD = 1.42, Z = −2.48, ES = 0.57). Shots on target (SC = 1.22), shots (SC = −0.73), fouls (SC = 0.60), total passes (SC = 0.44), and yellow cards (SC = −0.32) presented the highest discriminatory power. These findings highlight the key match performance variables which influence the game results and may assist coaches in developing and implementing team strategies to improve the likelihood of winning the AFCON championship. |
format | Online Article Text |
id | pubmed-8913890 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89138902022-03-12 Match-Related Statistics Differentiating Winning and Losing Teams at the 2019 Africa Cup of Nations Soccer Championship Kubayi, Alliance Larkin, Paul Front Sports Act Living Sports and Active Living This study investigated game-related statistics differentiating the winning and losings teams of matches during the 2019 African Cup of Nations (AFCON) soccer tournament. The sample consisted of 38 games, with the data obtained from the InStat Scout platform. Data were analyzed using mean (M), SD, effect size (ES), structure coefficients (SCs), and the Wilcoxon signed-rank test. The results showed that the winning teams performed significantly better than the losing teams in terms of shots (M = 12.13, SD = 4.67, Z = −2.26, ES = 0.62), shots on target (M = 5.05, SD = 2.54, Z = −4.22, ES = 1.13), and shots from counter-attacks (M = 2.24, SD = 1.42, Z = −2.48, ES = 0.57). Shots on target (SC = 1.22), shots (SC = −0.73), fouls (SC = 0.60), total passes (SC = 0.44), and yellow cards (SC = −0.32) presented the highest discriminatory power. These findings highlight the key match performance variables which influence the game results and may assist coaches in developing and implementing team strategies to improve the likelihood of winning the AFCON championship. Frontiers Media S.A. 2022-02-25 /pmc/articles/PMC8913890/ /pubmed/35280227 http://dx.doi.org/10.3389/fspor.2022.807198 Text en Copyright © 2022 Kubayi and Larkin. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Sports and Active Living Kubayi, Alliance Larkin, Paul Match-Related Statistics Differentiating Winning and Losing Teams at the 2019 Africa Cup of Nations Soccer Championship |
title | Match-Related Statistics Differentiating Winning and Losing Teams at the 2019 Africa Cup of Nations Soccer Championship |
title_full | Match-Related Statistics Differentiating Winning and Losing Teams at the 2019 Africa Cup of Nations Soccer Championship |
title_fullStr | Match-Related Statistics Differentiating Winning and Losing Teams at the 2019 Africa Cup of Nations Soccer Championship |
title_full_unstemmed | Match-Related Statistics Differentiating Winning and Losing Teams at the 2019 Africa Cup of Nations Soccer Championship |
title_short | Match-Related Statistics Differentiating Winning and Losing Teams at the 2019 Africa Cup of Nations Soccer Championship |
title_sort | match-related statistics differentiating winning and losing teams at the 2019 africa cup of nations soccer championship |
topic | Sports and Active Living |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8913890/ https://www.ncbi.nlm.nih.gov/pubmed/35280227 http://dx.doi.org/10.3389/fspor.2022.807198 |
work_keys_str_mv | AT kubayialliance matchrelatedstatisticsdifferentiatingwinningandlosingteamsatthe2019africacupofnationssoccerchampionship AT larkinpaul matchrelatedstatisticsdifferentiatingwinningandlosingteamsatthe2019africacupofnationssoccerchampionship |