Drops in physical performance during intermittent small-sided and conditioned games in professional soccer players

Clemente, Filipe Manuel; Rabbani, Alireza; Ferreira, Rúben; Araújo, João Pedro

doi:10.5114/hm.2020.88148

Cited by 9 publications

(9 citation statements)

References 28 publications

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“…Trivial changes were observed within intervals in almost all cases. This is in agreement with recent studies reporting trivial to small changes in the second interval [ 25 , 26 , 33 ]. Dellal et al [ 25 ] showed a significant reduction from the first to fourth intervals (but not from the first to second intervals) in high- and very high -intensity activities (~-26; -37%).…”

Section: Discussionsupporting

confidence: 94%

“…The reductions that do occur during SSGs are likely influenced primarily by other factors, such as training regimens compared to the interval set number per se . For instance, Clemente et al [ 26 ] examined variations in external load within different intermittent regimens (6 × 3 min and 3 × 6 min). They found that longer intervals contribute to more substantial decreases in total distance, running distance, and total values of accelerations and decelerations.…”

Section: Discussionmentioning

confidence: 99%

“…Furthermore, only a few studies have investigated within-interval external load changes during SSGs with soccer players [ 15 , 25 , 26 ]. More research is needed to clarify whether the manipulation of influential factors causes any changes between intervals in different SSG formats.…”

Section: Introductionmentioning

confidence: 99%

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Session-to-session variations in external load measures during small-sided games in professional soccer players

Younesi¹,

Rabbani²,

Clemente

et al. 2021

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The aims of this study were 1) to analyse session-to-session variations in different external load measures and 2) to examine differences in within-session intervals across different small-sided game (SSG) formats in professional players. Twenty professional soccer players (mean ± SD; age 28.1 ± 4.6 years, height 176.7 ± 4.9 cm, body mass 72.0 ± 7.8 kg, and body fat 10.3 ± 3.8%) participated in 3v3, 4v4, and 6v6 SSGs under different conditions (i.e., touch limitations and presence of goalkeepers vs. free touch and ball possession drill) over three sessions. Selected external load measures—including total distance (TD), high-intensity running (HIR, distance covered > 14.4 km . h -1 ), high-speed running (HSR, distance covered > 19.8 km . h -1 ), and mechanical work (MW, accelerations and deceleration > 2.2 m . s 2 )—were recorded using GPS technology during all SSG sessions. Small to large standardized typical errors were observed in session-to-session variations of selected measures across SSGs. TD . min -1 showed less variability, having a coefficient of variation (CV) of 2.2 to 4.6%, while all other selected external load measures had CV values ranging from 7.2% to 29.4%. Trivial differences were observed between intervals in TD . min -1 and HIR . min -1 for all SSGs, as well as in HSR . min -1 and MW . min -1 for most SSG formats. No reductions or incremental trends in session-to-session variations were observed when employing touch limitations or adding goalkeepers. The increased noise observed in higher speed zones (e.g., high-speed running) suggests a need for more controlled, running-based conditional drills if the aim is greater consistency in these measures.

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Section: Discussionsupporting

confidence: 94%

Section: Discussionmentioning

confidence: 99%

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Session-to-session variations in external load measures during small-sided games in professional soccer players

Younesi¹,

Rabbani²,

Clemente

et al. 2021

Self Cite

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“…The dynamic nature of soccer implies intra-and inter-individual variability [5,6] in terms of the physical demands imposed during training sessions, mainly considering that a significant part of training is based on game-related drills (e.g., positioning games, smallsided games, full-sized games) [7][8][9]. This variability can be explained by contextual factors such as opponent level, score status, or the half or period of the games [10,11].…”

Section: Introductionmentioning

confidence: 99%

Weekly variations of biomechanical load variables in professional soccer players: comparisons between playing positions

Hasan¹,

Silva²,

Clemente³

2021

Hum Mov.

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Purpose. The purpose of the present study was fourfold: (i) to describe the weekly variations of acute external load measures during a professional soccer season; (ii) to analyse the variability of external load measures within weeks; (iii) to analyse the acute:chronic workload ratio of players during the process; and (iv) to analyse the differences of external load measures between playing positions. Methods. Twenty professional soccer players (age: 24.9 ± 3.5 years; body mass: 71.6 ± 18.7 kg; height: 168.8 ± 41.4 cm) from the same team competing in the First Portuguese League (Europe) voluntarily participated in this study. They were daily monitored with a Global Positioning System (GPS) and the following external load variables were extracted per session: (i) total distance; (ii) running distance; (iii) high-speed running distance; (iv) distance at maximal speed; (v) distance at high accelerations; and (vi) players' training load. The acute load and acute:chronic workload ratio were weekly calculated for each of the GPS measures. Results. Week-by-week variations ranged from-57% to +115%, depending on the playing position and the variable measured. The within-week variability revealed coefficients of variation between 48% and 55%, depending on the measure. Considering the differences in mean load between playing positions, significant differences between players were found for the majority of the variables, with the only exceptions being maximal speed and high accelerations distances. Conclusions. Great between-week variations in the acute load as well as the variability of load within weeks were found. It was observed that acute load was position-dependent.

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“…internal (e.g., rating of perceived exertion [RPE], visual analogue scale [VAS]) and external (e.g., total distance covered, accelerations/decelerations) load measures are fundamental to elicit peak performance and reduce the risk of injury over the season [13][14][15][16][17][18]. However, the effects of biological maturity on the training load have not been fully investigated in youth soccer.…”

Section: Introductionmentioning

confidence: 99%

Effects of maturity status on anthropometric measures, physical fitness, and training load in young Brazilian soccer players

Silva¹,

Gonçalves²,

Aquino³

et al. 2021

Hum Mov.

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Purpose. the study aimed to (1) verify maturity status effects on training performance indicators in young soccer players;(2) compare the anthropometric, physical fitness, and training performance indicators before and after 10-week training;(3) investigate relationships between anthropometric measures, maturity status, and performance indicators. Methods. the study involved 34 male soccer players (aged 17 ± 2 years). Biological maturation was determined by skeletal age, with left hand radiology. Body height, mass, and adiposity were determined. Physical fitness was measured with field tests, including intermittent aerobic fitness, repeated sprint ability, and lower limb power. the participants were monitored daily over 10 weeks (preseason) through rating of perceived exertion. Results. Average maturity players showed greater training load (p = 0.04) and physical training volume (p = 0.04) than early maturity players. Mature players presented higher physical training volume than early maturity players (p = 0.04). We verified better performances in intermittent aerobic fitness (p < 0.001, d = 1.086), vertical jump (p = 0.007, d = 0.584), best sprint time (p = 0.003, d = 0.661), average sprint time (p = 0.002, d = 0.676), and sum of the sprint times (p = 0.002, d = 0.675) after the 10-week preseason. Physical and technical-tactical training volumes were moderately-largely related to best sprint time (r = -0.48, r = -0.55, respectively). technical-tactical training volume was largely related to intermittent aerobic fitness (r = 0.54). Conclusions. Advanced maturity and mature players presented greater training load and physical training volume than early maturity subjects. Players exhibited improved physical fitness after the 10-week preseason. technical-tactical training volume showed a large association with the intermittent aerobic fitness test.

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Drops in physical performance during intermittent small-sided and conditioned games in professional soccer players

Cited by 9 publications

References 28 publications

Session-to-session variations in external load measures during small-sided games in professional soccer players

Session-to-session variations in external load measures during small-sided games in professional soccer players

Weekly variations of biomechanical load variables in professional soccer players: comparisons between playing positions

Effects of maturity status on anthropometric measures, physical fitness, and training load in young Brazilian soccer players

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