Kieran Fereday1, Samuel P Hills2, Mark Russell2, Jordan Smith3, Dan J Cunningham1, David Shearer4, Melitta McNarry1, Liam P Kilduff5. 1. Applied Sports Technology, Exercise Medicine Research Centre (A-STEM), Swansea University, United Kingdom. 2. School of Social and Health Sciences, Leeds Trinity University, United Kingdom. 3. Swansea City Training Ground Fairwood, United Kingdom. 4. Faculty of Life Sciences and Education, University of South Wales, United Kingdom. 5. Applied Sports Technology, Exercise Medicine Research Centre (A-STEM), Swansea University, United Kingdom; Welsh Institute of Performance Science, College of Engineering, Swansea University, United Kingdom. Electronic address: l.kilduff@swansea.ac.uk.
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 (>5.5ms-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±20.4mmin-1 and 59.5±23.0mmin-1 in the 60-s epoch, to 120.9±13.1mmin-1 and 14.2±6.5mmin-1 in the 600-s epoch, respectively. Worst-case scenario total distance was higher for midfielders (∼9-16mmin-1) and defenders (∼3-10mmin-1) compared with attackers. In general, starters experienced higher worst-case scenario total distance than substitutes (∼3.6-8.5mmin-1), but lower worst-case scenario high-speed running over 300-s (∼3mmin-1). Greater worst-case scenario total and high-speed distances were elicited during wins (∼7.3-11.2mmin-1 and ∼2.7-7.9mmin-1, respectively) and losses (∼2.7-5.7mmin-1 and ∼1.4-2.2mmin-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.
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 (>5.5ms-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±20.4mmin-1 and 59.5±23.0mmin-1 in the 60-s epoch, to 120.9±13.1mmin-1 and 14.2±6.5mmin-1 in the 600-s epoch, respectively. Worst-case scenario total distance was higher for midfielders (∼9-16mmin-1) and defenders (∼3-10mmin-1) compared with attackers. In general, starters experienced higher worst-case scenario total distance than substitutes (∼3.6-8.5mmin-1), but lower worst-case scenario high-speed running over 300-s (∼3mmin-1). Greater worst-case scenario total and high-speed distances were elicited during wins (∼7.3-11.2mmin-1 and ∼2.7-7.9mmin-1, respectively) and losses (∼2.7-5.7mmin-1 and ∼1.4-2.2mmin-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.
Authors: Rafael Oliveira; Luiz H Palucci Vieira; Alexandre Martins; João Paulo Brito; Matilde Nalha; Bruno Mendes; Filipe Manuel Clemente Journal: Medicina (Kaunas) Date: 2021-06-23 Impact factor: 2.430