Abstract
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.
DesignDescriptive, observational.
MethodsTwenty-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.
ResultsIrrespective 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.
ConclusionsThese 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.
| Original language | English |
|---|---|
| Pages (from-to) | 764-769 |
| Number of pages | 6 |
| Journal | Journal of Science and Medicine in Sports |
| Volume | 23 |
| Issue number | 8 |
| Early online date | 9 Jan 2020 |
| DOIs | |
| Publication status | Published - 9 Jan 2020 |
Keywords
- Football
- Physiology
- Monitoring
- Fatigue
- Activity profiles
- Running
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