Physical fitness profile of competitive young soccer players: Determination of positional differences

Marques, Mário C.; Izquierdo, Mikel; Gabbett, Tim J.; Travassos, Bruno; Branquinho, Luís; Tillaar, Roland Johannes Wilhelmus van den

doi:10.1177/1747954116667107

Cited by 11 publications

(7 citation statements)

References 35 publications

(60 reference statements)

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“…Soccer is characterized as a prolonged, high-intensity, intermittent team sport that places emphasis on explosive movements such as repeatedly jumping, sprinting, and kicking [1]. High-speed actions in soccer consist of acceleration, maximal speed, or agility skills [2].…”

Section: Introductionmentioning

confidence: 99%

The Importance of Reactive Agility Tests in Differentiating Adolescent Soccer Players

Trajković

Sporiš

Krističević

et al. 2020

IJERPH

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The ability to differentiate the elite from nonelite athletes is not clearly defined. We investigated level differences in speed, change of direction speed (CODS), and reactive agility in a group of trained adolescent soccer players. A total of 75 adolescent male soccer players (aged 14–19 years) were recruited. The players were grouped based on the level of play to elite, sub-elite, and amateur players. Players were tested for 5-, 10- and 20-m sprints, CODS, and reactive agility tests (RAT). Elite players had faster reaction movement time during RAT with live opponent stimuli (p ≤ 0.01) compared to sub-elite and amateur players. Moreover, elite players showed a faster time during light stimuli (p ≤ 0.01) but only compared to amateur players. The times for 5-m and 10-m sprint groups did not differ (p > 0.05). The results demonstrated that the skilled players (elite and sub-elite) performed better in reactive agility tests, speed, and COD speed compared to amateur players. Additionally, we can conclude that total and reaction time in the agility test with live opponent stimuli can be a significant factor that differentiates between adolescent soccer players considering their level.

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Section: Introductionmentioning

confidence: 99%

The Importance of Reactive Agility Tests in Differentiating Adolescent Soccer Players

Trajković

Sporiš

Krističević

et al. 2020

IJERPH

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“…Only for the 10 m sprint were no significant age differences observed. The largest age effect between both adjacent age groups (U10 vs. U11 and U11 vs. U12) was detected for the sprint 15 m. The absence of differences in the 10 m sprint can be attributed to the small distance to differentiate velocity profiles ( Marques et al, 2016 ). In this context, the 20 m and 30 m tests are more deterministic of soccer success ( Marques et al, 2016 ).…”

Section: Discussionmentioning

confidence: 95%

Differences in body composition, static balance, field test performance, and academic achievement in 10–12-year-old soccer players

et al. 2023

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Introduction: This study aimed to compare 10–12-year-old Qatari male soccer players (n = 45) regarding different dimensions (anthropometric, academic and physical performance).Methods: Anthropometric parameters (body mass, fat percentage (%BF), body mass index (BMI)) academic achievement (mathematics and science grade point average [GPA]) and physical performance [Yo-Yo Intermittent Recovery Test (level 1), squat jumps (SJ), counter-movement jumps (CMJ), stork balance test, 10 and 15 m sprint tests, T-half test for change-of-direction (CoD) ability, hand-grip strength, medicine ball throw (MBT)] were measured. Schoolchild soccer players were divided into three groups: 12-year-old players (U12; n = 16), 11-year-old players (U11; n = 14), 10-year-old players (U10; n = 15).Results: Apart from mathematics, Yo-Yo IR1 and 10 m sprint, all performance parameters showed significant age effects. The largest age-related difference was observed for 15 m sprint (p < 0.001). Both adjacent age groups displayed significant differences for 15 sprint (U10 vs. U11: p = 0.015; U11 vs. U12: p = 0.023). Concerning academic performance, a significant age effect was found for science (p < 0.001). There was a main age effect on academic performance difference between U10 and U11 (p = 0.007). Academic parameters did not correlate with any physical performance parameter or anthropometric parameter. The strongest correlations were detected for body height and agility T-half test (r = −0.686) and medicine ball throw (r = 0.637). The biological maturity was strongly correlated with handgrip strength (r = −0.635).Discussion: Soccer coaches and physical education teachers can use these data as reference values for evaluation of school-aged soccer players, and for ascertaining specific training targets. Obviously, short sprinting ability and aerobic capacity are not functions of age and need a specific training for significant improvements.

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“…In particular current development methods shape the use of different individual affordances for players in similar game environments (Silva et al, 2013). Thus, it can be assumed that playing roles in association football may not only be characterized by different anthropometrical or physiological differences of individuals (Di Salvo et al, 2007;Marques et al, 2016), but also by different technical-tactical capabilities required by specific roles in which players are specialising (Laakso et al, 2019). An ecological dynamics rationale for the current findings suggest that players' main team roles seem to impact on their perception-action systems (i.e.…”

Section: Discussionmentioning

confidence: 99%

How football team composition constrains emergent individual and collective tactical behaviours: Effects of player roles in creating different landscapes for shared affordances in small-sided and conditioned games

Laakso

Davids

Luhtanen

et al. 2021

International Journal of Sports Science & Coaching

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The aim of the present study was to examine how team composition of players with different roles constrains individual and collective tactical behaviours, and ball possession effectiveness, during competitive 3 vs 3 small-sided and conditioned games (SSCGs) in youth soccer players. Fifteen male players (under 15 yrs, mean age 13.2 ± 1.03 years, mean years of practice: 4.2 ± 1.10 years) from the same club participated in this study. For analysis purposes, on advice from the coaching staff, participants were categorised according to their main team performance role, resulting in sub-samples of 5 defenders (centre-backs = 2 and full- backs = 3), 7 midfielders (central midfielders = 3 and wide midfielders = 4) and 3 attackers (forwards). In order to assess participant tactical behaviours, a notational analysis system was created with four categories: i) team behaviours, ii) individual players’ offensive actions, iii) individual players’ defensive actions, and iv), ball possession effectiveness. Analysis of players’ offensive actions revealed that the team composed only of midfielders revealed a higher frequency of diagonal and vertical passes in relation to the attackers’ team. In offensive individual actions, the attackers’ team revealed more dribbles in relation to the teams of defenders and midfielders. Analysis of ball possession effectiveness revealed that the team of defenders achieved higher values of shots on goal compared to the team of midfielders. These findings exemplified how playing role constrains the emergence of different collective behaviours and individual actions in 3 vs 3 SSCGs.

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Physical fitness profile of competitive young soccer players: Determination of positional differences

Cited by 11 publications

References 35 publications

The Importance of Reactive Agility Tests in Differentiating Adolescent Soccer Players

The Importance of Reactive Agility Tests in Differentiating Adolescent Soccer Players

Differences in body composition, static balance, field test performance, and academic achievement in 10–12-year-old soccer players

How football team composition constrains emergent individual and collective tactical behaviours: Effects of player roles in creating different landscapes for shared affordances in small-sided and conditioned games

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