The Effect of Fixture Congestion on Performance During Professional Male Soccer Match-Play: A Systematic Critical Review
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SYSTEMATIC REVIEW
The Effect of Fixture Congestion on Performance During Professional Male Soccer Match‑Play: A Systematic Critical Review with Meta‑Analysis Ross Julian1,2 · Richard Michael Page3 · Liam David Harper4
© The Author(s) 2020
Abstract Background Fixture congestion (defined as a minimum of two successive bouts of match-play, with an inter-match recovery period of 5.5 m.s−1) HIR (5.5–6.9 m.s−1) Run (4.0–5.4 m.s−1) Jog (2.0–3.9 m.s−1) Walk (0.2–1.9 m.s−1) Stand (0–0.1 m.s−1) TD, HI distance, sprinting distance, frequency of sprints Sprint (> 24 km·h−1) HI (19–24 km·h−1) TD and distance covered in each locomotive activity. Frequency of HIR and sprints, recovery times, top and average speed Sprint (> 23 km·h−1) HIR (19.1–23.0 km·h−1) MIR (14.1–19.0 km·h−1) LIR (11.1–14.0 km·h−1) Stand, walk, jog (0–11 km·h−1) TD, HIR, TD when individual in possession of the ball, peak period HIR HIR (≥ 14.4 km·h−1)
Quality score (%)
No effect
No effect
No effect
71.4
40.0
66.7
↓ HI distance when team is 78.6 in possession and when ball was out of play during match 3 vs. match 1 ↓ walking distance match 3 vs. match 1
In-match outcome measures Main findings
Table 2 Summary of studies accompanied by the quality criteria score, investigating the in-match physical performance response during periods of fixture congestion. ↓ and ↑, denotes significant reductions or significant increases in outcome measures, respectively
R. Julian et al.
1 match vs. 2 match weekly microcyles
3 instances of 6 consecutive matches separated by 3 days (instance 1, 5 players; instance 2, 6 players; instance 3, 5 players) 1 vs 2 match weekly microcycles
23 elite outfield players from Semi-automated video system (Amisco) the same Spanish club (FB n = 5, CD n = 5, CM n = 5, WM n = 4, FWD n = 4)
19 elite outfield players from Semi-automated video the same French club system (Amisco)
16 elite outfield players from Semi-automated video the same French club system (Amisco)
11 professional players from Semi-automated video system (Amisco) the same Polish club (FB n = 2, CD n = 3, CM n = 2, WM n = 2, FWD n = 2)
Lago-Penas et al. [23]
Carling et al. [2]
Dellal et al. [3]
Andrzejewski et al. [14]
8 successive matches in a 26-day period
Fixture congestion scenario
Match data collection methods
Participants
References
Table 2 (continued)
TD, distance covered frequency and time spent in each locomotive activity Sprint (> 23 km·h−1) HIR (19.1–23.0 km·h−1) MIR (14.1–19.0 km·h−1) LIR (11.1–14.0 km·h−1) Stand, walk, jog (0–11 km·h−1) Relative TD, light-intensity, LIR, MIR, HIR, and TD in individual ball possession HIR (> 19.1 km·h−1) MIR (14.1–19.0 km·h−1) LIR (11.1–14.0 km·h−1) Light-intensity (0–11 km·h−1) TD and distance covered in each locomotive activity HIR (> 21.0 km·h−1) MIR (18.1–21.0 km·h−1) LIR (12.1–18.0 km·h−1) Walking and light intensity (0–12.0 km·h−1) TD, distance covered in each locomotive activity, frequency of HI and sprinting, recovery time, average and top speed Sprint (≥ 24 km·h−1) HIR (21.0–24.0 km·h−1) Fa
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