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The influence of athletic performance on the highest positions of the final ranking during 2017/2018 Serie A season
BACKGROUND: Our previous study on the 2016/2017 Serie A season showed that a greater likelihood of reaching the top positions in the Italian league “Serie A” seemed to be mainly related to sprint activity, goal attempts, total throws, target shots and assists. Therefore, we aim to evaluate the follo...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7992946/ https://www.ncbi.nlm.nih.gov/pubmed/33766112 http://dx.doi.org/10.1186/s13102-021-00259-3 |
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author | Longo, Umile Giuseppe Sofi, Francesco Candela, Vincenzo Risi Ambrogioni, Laura Pagliai, Giuditta Massaroni, Carlo Schena, Emiliano Cimmino, Matteo D’Ancona, Fabrizio Denaro, Vincenzo |
author_facet | Longo, Umile Giuseppe Sofi, Francesco Candela, Vincenzo Risi Ambrogioni, Laura Pagliai, Giuditta Massaroni, Carlo Schena, Emiliano Cimmino, Matteo D’Ancona, Fabrizio Denaro, Vincenzo |
author_sort | Longo, Umile Giuseppe |
collection | PubMed |
description | BACKGROUND: Our previous study on the 2016/2017 Serie A season showed that a greater likelihood of reaching the top positions in the Italian league “Serie A” seemed to be mainly related to sprint activity, goal attempts, total throws, target shots and assists. Therefore, we aim to evaluate the following season data in the same league to compare, confirm, and improve these results. METHODS: The data of all the matches played during the “Serie A” 2017–2018 season were obtained from the Italian soccer league. The teams’ analysis was performed in terms of total distance covered in km, jogging, running and sprint activities, average speed, and match statistics (total shots, shots on target, goal attempts, assists, turnovers, and steals). RESULTS: Teams that reached the first four positions revealed a lower percentage of running (65.98 ± 1.51 vs. 66.84 ± 2.18; p < 0.001), a higher percentage of jogging (25.61 ± 1.71 vs. 25.30 ± 1.97; p = 0.037) and sprint activities (8.41 ± 1.04 vs. 7.86 ± 0.82; p < 0.001). Match statistics seem to be statistically different between the first four teams the other teams. The total goals are strongly associated both with the total score at the end of the championship (R = 0.906; p < 0.001) and with the position in the final ranking (R = 0.850; p < 0.001). CONCLUSIONS: Our results suggest that high-level teams have a lower running rate and a higher percentage of jogging and sprinting than other teams. |
format | Online Article Text |
id | pubmed-7992946 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-79929462021-03-25 The influence of athletic performance on the highest positions of the final ranking during 2017/2018 Serie A season Longo, Umile Giuseppe Sofi, Francesco Candela, Vincenzo Risi Ambrogioni, Laura Pagliai, Giuditta Massaroni, Carlo Schena, Emiliano Cimmino, Matteo D’Ancona, Fabrizio Denaro, Vincenzo BMC Sports Sci Med Rehabil Research Article BACKGROUND: Our previous study on the 2016/2017 Serie A season showed that a greater likelihood of reaching the top positions in the Italian league “Serie A” seemed to be mainly related to sprint activity, goal attempts, total throws, target shots and assists. Therefore, we aim to evaluate the following season data in the same league to compare, confirm, and improve these results. METHODS: The data of all the matches played during the “Serie A” 2017–2018 season were obtained from the Italian soccer league. The teams’ analysis was performed in terms of total distance covered in km, jogging, running and sprint activities, average speed, and match statistics (total shots, shots on target, goal attempts, assists, turnovers, and steals). RESULTS: Teams that reached the first four positions revealed a lower percentage of running (65.98 ± 1.51 vs. 66.84 ± 2.18; p < 0.001), a higher percentage of jogging (25.61 ± 1.71 vs. 25.30 ± 1.97; p = 0.037) and sprint activities (8.41 ± 1.04 vs. 7.86 ± 0.82; p < 0.001). Match statistics seem to be statistically different between the first four teams the other teams. The total goals are strongly associated both with the total score at the end of the championship (R = 0.906; p < 0.001) and with the position in the final ranking (R = 0.850; p < 0.001). CONCLUSIONS: Our results suggest that high-level teams have a lower running rate and a higher percentage of jogging and sprinting than other teams. BioMed Central 2021-03-25 /pmc/articles/PMC7992946/ /pubmed/33766112 http://dx.doi.org/10.1186/s13102-021-00259-3 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Longo, Umile Giuseppe Sofi, Francesco Candela, Vincenzo Risi Ambrogioni, Laura Pagliai, Giuditta Massaroni, Carlo Schena, Emiliano Cimmino, Matteo D’Ancona, Fabrizio Denaro, Vincenzo The influence of athletic performance on the highest positions of the final ranking during 2017/2018 Serie A season |
title | The influence of athletic performance on the highest positions of the final ranking during 2017/2018 Serie A season |
title_full | The influence of athletic performance on the highest positions of the final ranking during 2017/2018 Serie A season |
title_fullStr | The influence of athletic performance on the highest positions of the final ranking during 2017/2018 Serie A season |
title_full_unstemmed | The influence of athletic performance on the highest positions of the final ranking during 2017/2018 Serie A season |
title_short | The influence of athletic performance on the highest positions of the final ranking during 2017/2018 Serie A season |
title_sort | influence of athletic performance on the highest positions of the final ranking during 2017/2018 serie a season |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7992946/ https://www.ncbi.nlm.nih.gov/pubmed/33766112 http://dx.doi.org/10.1186/s13102-021-00259-3 |
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