Velocity zone classification in elite women’s football : where do we draw the lines?

Laurence A. F. Park, Dawn Scott, Ric Lovell

Research output: Contribution to journalArticlepeer-review

50 Citations (Scopus)

Abstract

Objectives: This study aims to develop generic velocity thresholds for the analysis of external load data collected in international women’s football matches. Methods: Doppler-derived recordings of instantaneous velocity and acceleration were collected (10 Hz GPS) from 27 international female football players during 52 international matches between 2012 and 2015. Data were examined with k-means, Gaussian mixture model (GMM), and Spectral Clustering methods to identify four velocity zones, in each completed half of match-play (277 observations). Spectral Clustering was also performed with 4 different smoothing parameters (β values of 0, 0.001, 0.01, and 0.1). Linear-mixed modelling was used to determine generic squad thresholds, accounting for the within-subject variation. Results:k-means and GMM generated low transition velocities, which had limited logical validity and deemed not fit for purpose. Spectral Clustering with a β value of 0.1 derived thresholds that differed from the various methods adopted in existing literature and industry practice, yet providing a rigorous, acceptable, and feasible determination of velocity thresholds. Conclusion: Velocities of 3.46 (12.5 km h −1), 5.29 (19.0 km h −1), and 6.26 m s −1 (22.5 km h −1) are recommended as entry criteria into high, very-high velocity, and sprinting locomotor categories, respectively, for the purpose of external load assessments in elite women’s football.

Original languageEnglish
Pages (from-to)21-28
Number of pages8
JournalScience and Medicine in Football
Volume3
Issue number1
DOIs
Publication statusPublished - 2 Jan 2019

Bibliographical note

Publisher Copyright:
© 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.

Keywords

  • athletes
  • football
  • human mechanics
  • motor ability
  • sprinting
  • women

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