Original research| Volume 23, ISSUE 8, P764-769, August 2020

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A comparison of rolling averages versus discrete time epochs for assessing the worst-case scenario locomotor demands of professional soccer match-play

Published:January 09, 2020DOI:



      To compare fixed epochs (FIXED) and rolling averages (ROLL) for quantifying worst-case scenario (‘peak’) running demands during professional soccer match-play, whilst assessing contextual influences.


      Descriptive, observational.


      Twenty-five outfield players from an English Championship soccer club wore 10-Hz microelectromechanical systems during 28 matches. Relative total and high-speed (>5.5 m s−1) distances were averaged over fixed and rolling 60-s to 600-s epochs. Linear mixed models compared FIXED versus ROLL and assessed the influence of epoch length, playing position, starting status, match result, location, formation, and time-of-day.


      Irrespective of playing position or epoch duration, FIXED underestimated ROLL for total (∼7–10%) and high-speed (∼12–25%) distance. In ROLL, worst-case scenario relative total and high-speed distances reduced from 190.1 ± 20.4 m min−1 and 59.5 ± 23.0 m min−1 in the 60-s epoch, to 120.9 ± 13.1 m min−1 and 14.2 ± 6.5 m min−1 in the 600-s epoch, respectively. Worst-case scenario total distance was higher for midfielders (∼9−16 m min−1) and defenders (∼3–10 m min−1) compared with attackers. In general, starters experienced higher worst-case scenario total distance than substitutes (∼3.6–8.5 m min−1), but lower worst-case scenario high-speed running over 300-s (∼3 m min−1). Greater worst-case scenario total and high-speed distances were elicited during wins (∼7.3–11.2 m min−1 and ∼2.7–7.9 m min−1, respectively) and losses (∼2.7–5.7 m min−1 and ∼1.4–2.2 m min−1, respectively) versus draws, whilst time-of-day and playing formation influenced worst-case scenario high-speed distances only.


      These data indicate an underestimation of worst-case scenario running demands in FIXED versus ROLL over 60-s to 600-s epochs while highlighting situational influences. Such information facilitates training specificity by enabling sessions to be targeted at the most demanding periods of competition.


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        • 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
        • Bangsbo J.
        • Mohr M.
        • Krustrup P.
        Physical and metabolic demands of training and match-play in the elite football player.
        J Sports Sci. 2006; 24: 665-674
        • Stølen T.
        • Chamari K.
        • Castagna C.
        • et al.
        Physiology of soccer: an update.
        Sports Med. 2005; 35: 501-536
        • Di Salvo V.
        • Gregson W.
        • Atkinson G.
        • et al.
        Analysis of high intensity activity in Premier League soccer.
        Int J Sports Med. 2009; 30: 205-212
        • 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
        • 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
        • Barrett S.
        • Midgley A.
        • Reeves M.
        • et al.
        The within-match patterns of locomotor efficiency during professional soccer match play: Implications for injury risk?.
        J Sci Med Sport. 2016; 19: 810-815
        • 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
        • Bradley P.S.
        • Di Mascio M.
        • Peart D.
        • et al.
        High-intensity activity profiles of elite soccer players at different performance levels.
        J Strength Cond Res. 2010; 24: 2343-2351
        • Delaney J.A.
        • Thornton H.R.
        • Rowell A.E.
        • et al.
        Modelling the decrement in running intensity within professional soccer players.
        Sci Med Foot. 2018; 2: 86-92
        • 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
        • 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
        • Paul D.J.
        • Bradley P.S.
        • Nassis G.P.
        Factors affecting match running performance of elite soccer players: shedding some light on the complexity.
        Int J Sports Physiol Perform. 2015; 10: 516-519
        • 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
        • 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
        • Di Salvo V.
        • Baron R.
        • Tschan H.
        • et al.
        Performance characteristics according to playing position in elite soccer.
        Int J Sports Med. 2007; 28: 222-227
        • Carling C.
        • Bloomfield J.
        • Nelsen L.
        • et al.
        The role of motion analysis in elite soccer.
        Sports Med. 2008; 38: 839-862
        • Hills S.P.
        • Barwood M.J.
        • Radcliffe J.N.
        • et al.
        Profiling the responses of soccer substitutes: a review of current literature.
        Sports Med. 2018; 48: 2255-2269
        • Castellano J.
        • Blanco-Villaseñor A.
        • Alvarez D.
        Contextual variables and time-motion analysis in soccer.
        Int J Sports Med. 2011; 32: 415-421
        • Tierney P.J.
        • Young A.
        • Clarke N.D.
        • et al.
        Match play demands of 11 versus 11 professional football using Global Positioning System tracking: variations across common playing formations.
        Hum Mov Sci. 2016; 49: 1-8
        • Reilly T.
        • Atkinson G.
        • Edwards B.
        • et al.
        Diurnal variation in temperature, mental and physical performance, and tasks specifically related to football (soccer).
        Chronobiol. 2007; 24: 507-519
        • Hammouda O.
        • Chtourou H.
        • Chaouachi A.
        • et al.
        Time-of-day effects on biochemical responses to soccer-specific endurance in elite Tunisian football players.
        J Sports Sci. 2013; 31: 963-971
        • Bradley P.S.
        • Ade J.D.
        Are current physical match performance metrics in elite soccer fit for purpose or is the adoption of an integrated approach needed?.
        Int J Sports Physiol Perform. 2018; 13: 656-664
        • Waldron M.
        • Highton J.
        Fatigue and pacing in high-intensity intermittent team sport: an update.
        Sports Med. 2014; 44: 1645-1658
        • Carling C.
        • Espié V.
        • Le Gall F.
        • et al.
        Work-rate of substitutes in elite soccer: a preliminary study.
        J Sci Med Sport. 2010; 13: 253-255
        • 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
        • Rampinini E.
        • Impellizzeri F.M.
        • Castagna C.
        • et al.
        Technical performance during soccer matches of the Italian Serie A league: effect of fatigue and competitive level.
        J Sci Med Sport. 2009; 12: 227-233
        • Weaving D.
        • Jones B.
        • Marshall P.
        • et al.
        Multiple measures are needed to quantify training loads in professional rugby league.
        Int J Sports Med. 2017; 38: 735-740