Title

The match-to-match variation of match-running in elite female soccer

Document Type

Journal Article

Publisher

Elsevier Ltd

School

School of Exercise, Biomedical and Health Sciences

Comments

Originally published as:

Trewin, J., Meylan, C., Varley, M. C., & Cronin, J. (2018). The match-to-match variation of match-running in elite female soccer. Journal of science and medicine in sport, 21(2), 196-201. doi:10.1016/j.jsams.2017.05.009

Original article available here.

Abstract

Objectives

The purpose of this study was to examine the match-to-match variation of match-running in elite female soccer players utilising GPS, using full-match and rolling period analyses.

Design

Longitudinal study.

Methods

Elite female soccer players (n = 45) from the same national team were observed during 55 international fixtures across 5 years (2012–2016). Data was analysed using a custom built MS Excel spreadsheet as full-matches and using a rolling 5-min analysis period, for all players who played 90-min matches (files = 172). Variation was examined using co-efficient of variation and 90% confidence limits, calculated following log transformation.

Results

Total distance per minute exhibited the smallest variation when both the full-match and peak 5-min running periods were examined (CV = 6.8–7.2%). Sprint-efforts were the most variable during a full-match (CV = 53%), whilst high-speed running per minute exhibited the greatest variation in the post-peak 5-min period (CV = 143%). Peak running periods were observed as slightly more variable than full-match analyses, with the post-peak period very-highly variable. Variability of accelerations (CV = 17%) and Player Load (CV = 14%) was lower than that of high-speed actions. Positional differences were also present, with centre backs exhibiting the greatest variation in high-speed movements (CV = 41–65%).

Conclusions

Practitioners and researchers should account for within player variability when examining match performances. Identification of peak running periods should be used to assist worst case scenarios. Whilst micro-sensor technology should be further examined as to its viable use within match-analyses.

DOI

10.1016/j.jsams.2017.05.009

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