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Original research| Volume 23, ISSUE 6, P609-614, June 2020

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Assessing the whole-match and worst-case scenario locomotor demands of international women’s rugby union match-play

Published:December 19, 2019DOI:https://doi.org/10.1016/j.jsams.2019.12.016

      Abstract

      Objectives

      To profile the distances covered during international women’s rugby union match-play and assess the duration-specific worst-case scenario locomotor demands over 60-s to 600-s epochs, whilst comparing the values determined by fixed epoch (FIXED) versus rolling average (ROLL) methods of worst-case scenario estimation and assessing positional influences.

      Design

      Descriptive, observational.

      Methods

      Twenty-nine international women’s rugby union players wore 10 Hz microelectromechanical systems during eight international matches (110 observations). Total, and per-half, distances were recorded, whilst relative total and high-speed (>4.4 m s−1) distances were averaged using FIXED and ROLL methods over 60–600-s. Linear mixed models compared distances covered between match halves, assessed FIXED versus ROLL, and examined the influence of playing position.

      Results

      Players covered ∼5.8 km match−1, with reduced distances in the second- versus first-half (p < 0.001). For worst-case scenario total (∼8–25%) and high-speed (∼10–26%) distance, FIXED underestimated ROLL. In ROLL, worst-case scenario relative total and high-speed distances reduced from ∼144−161 m min−1 and ∼30−69 m min−1 over 60-s, to ∼80 89 m min−1 and ∼5 16 m min−1 in the 600-s epoch, respectively. Forwards performed less high-speed running over all epochs and covered less total distance during epochs of 60-s, 180-s, 420-s and 480-s, compared with backs. Front row players typically returned the lowest locomotor demands.

      Conclusions

      This is the first study reporting the positional and worst-case scenario demands of international women’s rugby union, and indicates an underestimation in FIXED versus ROLL over 60-s to 600-s epochs. Knowledge of the most demanding periods of women’s rugby union match-play facilitates training specificity by enabling sessions to be tailored to such demands.

      Keywords

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      References

        • Duthie G.
        • Pyne D.
        • Hooper S.
        Applied physiology and game analysis of rugby union.
        Sports Med. 2003; 33: 973-991
        • Whitehead S.
        • Till K.
        • Weaving D.
        • et al.
        The use of microtechnology to quantify the peak match demands of the football codes: a systematic review.
        Sports Med. 2018; 48: 2549-2575
        • Cunningham D.J.
        • Shearer D.A.
        • Carter N.
        • et al.
        Assessing worst case scenarios in movement demands derived from global positioning systems during international rugby union matches: rolling averages versus fixed length epochs.
        PloS One. 2018; 13e0195197
        • Varley M.C.
        • Fairweather I.H.
        • Aughey R.J.
        Validity and reliability of GPS for measuring instantaneous velocity during acceleration, deceleration, and constant motion.
        J Sports Sci. 2012; 30: 121-127
        • Rampinini E.
        • Alberti G.
        • Fiorenza M.
        • et al.
        Accuracy of GPS devices for measuring high-intensity running in field-based team sports.
        Int J Sports Med. 2015; 36: 49-53
        • Quarrie K.L.
        • Hopkins W.G.
        • Anthony M.J.
        • et al.
        Positional demands of international rugby union: evaluation of player actions and movements.
        J Sci Med Sport. 2013; 16: 353-359
        • Cunningham D.J.
        • Shearer D.A.
        • Drawer S.
        • et al.
        Movement demands of elite under-20s and senior international rugby union players.
        PloS One. 2016; 11e0164990
        • Coughlan G.F.
        • Green B.S.
        • Pook P.T.
        • et al.
        Physical game demands in elite rugby union: a global positioning system analysis and possible implications for rehabilitation.
        J Orthop Sports Phys Ther. 2011; 41: 600-605
        • Suarez-Arrones L.
        • Portillo J.
        • Pareja-Blanco F.
        • et al.
        Match-play activity profile in elite women’s rugby union players.
        J Strength Cond Res. 2014; 28: 452-458
        • Delaney J.A.
        • Thornton H.R.
        • Pryor J.F.
        • et al.
        Peak running intensity of international rugby: implications for training prescription.
        Int J Sports Physiol Perform. 2017; 12: 1039-1045
        • Jones M.R.
        • West D.J.
        • Crewther B.T.
        • et al.
        Quantifying positional and temporal movement patterns in professional rugby union using global positioning systems.
        Eur J Sports Sci. 2015; 15: 488-496
        • Mohr M.
        • Krustrup P.
        • Bangsbo J.
        Match performance of high-standard soccer players with special reference to development of fatigue.
        J Sports Sci. 2003; 21: 519-528
        • Bradley P.S.
        • Noakes T.D.
        Match running performance fluctuations in elite soccer: indicative of fatigue, pacing or situational influences?.
        J Sports Sci. 2013; 31: 1627-1638
        • Hills S.P.
        • Barrett S.
        • Feltbower R.G.
        • et al.
        A match-day analysis of the movement profiles of substitutes from a professional soccer club before and after pitch-entry.
        PloS One. 2019; 14e0211563
        • Waldron M.
        • Highton J.
        Fatigue and pacing in high-intensity intermittent team sport: an update.
        Sports Med. 2014; 44: 1645-1658
        • Varley M.C.
        • Elias G.P.
        • Aughey R.J.
        Current match-analysis techniques’ underestimation of intense periods of high-velocity running.
        Int J Sports Physiol Perform. 2012; 7: 183-185
        • Weaving D.
        • Sawczuk T.
        • Williams S.
        • et al.
        The peak duration-specific locomotor demands and concurrent collision frequencies of European Super League rugby.
        J Sports Sci. 2019; 37: 322-330
        • Delaney J.A.
        • Scott T.J.
        • Thornton H.R.
        • et al.
        Establishing duration-specific running intensities from match-play analysis in rugby league.
        Int J Sports Physiol Perform. 2015; 10: 725-731
        • Virr J.L.
        • Game A.
        • Bell G.J.
        • et al.
        Physiological demands of women’s rugby union: time–motion analysis and heart rate response.
        J Sports Sci. 2014; 32: 239-247
        • Reardon C.
        • Tobin D.P.
        • Tierney P.
        • et al.
        The worst case scenario: locomotor and collision demands of the longest periods of gameplay in professional rugby union.
        PloS One. 2017; 12e0177072
        • Bradley P.S.
        • Vescovi J.D.
        Velocity thresholds for women’s soccer matches: Sex specificity dictates high-speed-running and sprinting thresholds — female athletes in motion (FAIM).
        Int J Sports Physiol Perform. 2015; 10: 112-116
        • Roberts S.P.
        • Trewartha G.
        • Higgitt R.J.
        • et al.
        The physical demands of elite English Rugby Union.
        J Sports Sci. 2008; 26: 825-833
        • Johnston R.D.
        • Weaving D.
        • Hulin B.T.
        • et al.
        Peak movement and collision demands of professional rugby league competition.
        J Sports Sci. 2019; 37: 2144-2151
        • Wheeler K.W.
        • Askew C.D.
        • Sayers M.G.
        Effective attacking strategies in rugby union.
        Eur J Sports Sci. 2010; 10: 237-242
        • Hendricks S.
        • Lambert M.
        • Masimla H.
        • et al.
        Measuring skill in rugby union and rugby league as part of the standard team testing battery.
        Int J Sports Sci Coach. 2015; 10: 949-965
        • Johnston R.D.
        • Murray N.B.
        • Austin D.J.
        • et al.
        Peak movement and technical demands of professional australian football competition.
        J Strength Cond Res. 2019; https://doi.org/10.1519/JSC.0000000000003241