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

Download started.

Ok

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:https://doi.org/10.1016/j.jsams.2020.01.002

      Abstract

      Objectives

      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.

      Design

      Descriptive, observational.

      Methods

      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.

      Results

      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.

      Conclusions

      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.

      Keywords

      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'

      Subscribe:

      Subscribe to Journal of Science and Medicine in Sport
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect

      References

        • 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