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Article Abstract

The fluctuation of external match load throughout a season is influenced by several contextual factors. While some, have been deeply analysed in men's football literature, information is lacking on how other contextual elements, such as player's age or experience, may affect the match-to-match variability of locomotor activities. In fact, aging has been described as a multifactorial process with the potential to affect human performance. The aim of this study is to assess if the variability of match locomotor performances fluctuates according to the players' age. 59 female players from four top-level clubs were divided into three age groups and monitored during two seasons using GPS APEX (STATSports, Northern Ireland), with a sampling frequency of 10Hz, in 150 official matches to determine the coefficient of variation (CV) of full-match and 1-min peak locomotor demands of total distance (TD), high-speed running distance, sprint distance (SpD), accelerations, and decelerations. To test whether there was a group effect of age on match-to-match variability we used a one-way ANOVA with CV% as the independent variable. CV values of full match variables ranged from 3.8% to 27.8%, with total distance (3.8%) in the peak age group and SpD (27.8%) in the pre-peak age group. Similarly, CV values of 1-min peaks ranged from 4.1% (post-peak group) in TD to 22.3% (peak group) in SpD. The main finding was that there were no significant differences between the different age groups in the metrics analysed although trends indicate less variability in the post-peak age group.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10225501PMC
http://dx.doi.org/10.3389/fphys.2023.1193501DOI Listing

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Article Synopsis
  • The study investigates how players' age may influence the variation in locomotor activities during matches, an area under-researched compared to other factors in men's football.
  • Involving 59 female players from top clubs, the research utilized GPS technology to monitor their performance across 150 matches over two seasons, focusing on metrics like total distance and sprint distance.
  • Results showed no significant differences in match performance variability across age groups, although trends suggest the post-peak age group may have less variability compared to younger players.
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