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Temporal distribution of peak running demands relative to match minutes in elite football

The peak match running demands of football (soccer) have been quantified across time durations of 1–10 min, however, little is known as to when the peak match running demands occur within match play. Data were collected from 44 elite footballers, across 68 fixtures (Files = 413, mean ± SD; 11 ± 8 ob...

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Autores principales: Thoseby, Bradley, Govus, Andrew D., Clarke, Anthea C., Middleton, Kane J., Dascombe, Ben J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Institute of Sport in Warsaw 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9536360/
https://www.ncbi.nlm.nih.gov/pubmed/36247961
http://dx.doi.org/10.5114/biolsport.2022.110745
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author Thoseby, Bradley
Govus, Andrew D.
Clarke, Anthea C.
Middleton, Kane J.
Dascombe, Ben J.
author_facet Thoseby, Bradley
Govus, Andrew D.
Clarke, Anthea C.
Middleton, Kane J.
Dascombe, Ben J.
author_sort Thoseby, Bradley
collection PubMed
description The peak match running demands of football (soccer) have been quantified across time durations of 1–10 min, however, little is known as to when the peak match running demands occur within match play. Data were collected from 44 elite footballers, across 68 fixtures (Files = 413, mean ± SD; 11 ± 8 observations per player, range; 1–33), with peak match running demands quantified for each playing half at ten incremental rolling average durations (1 min rolling averages, 2 min rolling averages, etc.). Data were assessed if players completed the full match. Three measures of running performance were assessed total distance (TD), high-speed distance (> 19.8 km · h(-1)) (HSD) and average acceleration (AveAcc)], with the in-game commencement time of the peak running demands recorded. Descriptive statistics and normality were calculated for each rolling average duration, with the self-containment of shorter rolling average epochs within longer epochs also assessed (e.g. Do the 1 min peak running demands occur within the 10 min peak running demands). Peak TD and AveAcc demands occurred early in each half (median time = 7–17 min and 6–16 min, respectively). Conversely, peak HSD covered was uniformly distributed (Skewness = 0–0.5, Kurtosis = 1.7–2.0). There were low-moderate levels of self-containment for each peak match running period (10–51%), dependent upon metric. Peak match running demands for TD and AveAcc occurred at similar stages of a match where TD and acceleration volumes are typically greatest, whereas peak HSD demands appeared more unpredictable. These timings may help inform training prescriptions in preparation of athletes for competition.
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spelling pubmed-95363602022-10-14 Temporal distribution of peak running demands relative to match minutes in elite football Thoseby, Bradley Govus, Andrew D. Clarke, Anthea C. Middleton, Kane J. Dascombe, Ben J. Biol Sport Original Paper The peak match running demands of football (soccer) have been quantified across time durations of 1–10 min, however, little is known as to when the peak match running demands occur within match play. Data were collected from 44 elite footballers, across 68 fixtures (Files = 413, mean ± SD; 11 ± 8 observations per player, range; 1–33), with peak match running demands quantified for each playing half at ten incremental rolling average durations (1 min rolling averages, 2 min rolling averages, etc.). Data were assessed if players completed the full match. Three measures of running performance were assessed total distance (TD), high-speed distance (> 19.8 km · h(-1)) (HSD) and average acceleration (AveAcc)], with the in-game commencement time of the peak running demands recorded. Descriptive statistics and normality were calculated for each rolling average duration, with the self-containment of shorter rolling average epochs within longer epochs also assessed (e.g. Do the 1 min peak running demands occur within the 10 min peak running demands). Peak TD and AveAcc demands occurred early in each half (median time = 7–17 min and 6–16 min, respectively). Conversely, peak HSD covered was uniformly distributed (Skewness = 0–0.5, Kurtosis = 1.7–2.0). There were low-moderate levels of self-containment for each peak match running period (10–51%), dependent upon metric. Peak match running demands for TD and AveAcc occurred at similar stages of a match where TD and acceleration volumes are typically greatest, whereas peak HSD demands appeared more unpredictable. These timings may help inform training prescriptions in preparation of athletes for competition. Institute of Sport in Warsaw 2021-12-30 2022-10 /pmc/articles/PMC9536360/ /pubmed/36247961 http://dx.doi.org/10.5114/biolsport.2022.110745 Text en Copyright © Biology of Sport 2022 https://creativecommons.org/licenses/by-sa/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Share Alike 4.0 License, allowing third parties to copy and redistribute the material in any medium or format and remix, transform, and build upon the material for any purpose, even commercially, provided the original work is properly cited and states its license.
spellingShingle Original Paper
Thoseby, Bradley
Govus, Andrew D.
Clarke, Anthea C.
Middleton, Kane J.
Dascombe, Ben J.
Temporal distribution of peak running demands relative to match minutes in elite football
title Temporal distribution of peak running demands relative to match minutes in elite football
title_full Temporal distribution of peak running demands relative to match minutes in elite football
title_fullStr Temporal distribution of peak running demands relative to match minutes in elite football
title_full_unstemmed Temporal distribution of peak running demands relative to match minutes in elite football
title_short Temporal distribution of peak running demands relative to match minutes in elite football
title_sort temporal distribution of peak running demands relative to match minutes in elite football
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9536360/
https://www.ncbi.nlm.nih.gov/pubmed/36247961
http://dx.doi.org/10.5114/biolsport.2022.110745
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