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Quantifying positional and temporal movement patterns in professional rugby union using global positioning system.

Marc R Jones1,2, Daniel J West3, Blair T Crewther4

  • 1a Sport and Exercise Science Research Centre , Swansea University , Swansea , UK.

European Journal of Sport Science
|February 13, 2015
PubMed
Summary

Professional rugby players exhibit distinct movement patterns based on their position, with backs requiring more high-speed running and forwards facing greater contact. Player load and movement intensity decrease throughout matches.

Keywords:
GPSconditioningmicrotechnologyrehabilitationrugby union

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Area of Science:

  • Sports Science
  • Biomechanics
  • Rugby Union Performance Analysis

Background:

  • Understanding player movement is crucial for optimizing training and performance in professional rugby.
  • Global Positioning System (GPS) technology allows for objective measurement of movement demands during competition.

Purpose of the Study:

  • To analyze positional and temporal movement patterns of professional rugby union players during matches.
  • To identify differences in movement characteristics across player positions and over time within a game.

Main Methods:

  • Collected 10 Hz GPS data from 33 professional rugby players across 13 matches (2012-2013 season).
  • Derived variables including distance, velocity, acceleration, exertion index, player load, contacts, sprinting, and repeated high-intensity efforts (RHIE).
  • Analyzed data segregated by positional groups (forwards, backs) and temporal changes within halves for players exceeding 60 minutes or playing full games.

Main Results:

  • Significant positional differences in movement characteristics were observed (P < 0.05).
  • Inside and outside backs showed higher high-speed running demands, while loose forwards experienced greater RHIE and contact.
  • Player load, cruising, and striding varied significantly between halves, with low- and high-intensity movements declining throughout each half.

Conclusions:

  • Movement data reveal significant positional demands, enhancing understanding of specific player roles.
  • Findings can inform the development of position-specific training drills and objective preparedness monitoring.
  • Awareness of performance changes during matches aids in drill design and performance evaluation.