Team Dynamics, Running, and Skill-Related Performances of Brazilian U11 to Professional Soccer Players During Official Matches

Vieira, Luiz Henrique Palucci; Aquino, Rodrigo; Moura, Filipe A.; Barros, Ricardo Machado Leite de; Arpini, Vitor Marqueti; Oliveira, Lucas de Paula; Bedo, Bruno Luiz de Souza; Santiago, Paulo Roberto Pereira

doi:10.1519/jsc.0000000000002577

Cited by 37 publications

(32 citation statements)

References 43 publications

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“…Soccer is a popular sport around the world, often chosen by children and adolescents to start their sport careers [ 1 ]. Physiological and physical demands of a soccer match are dissimilar between youth (under 18 years) and senior professional players [ 1 , 2 ]. Young soccer players, on average, cover a total distance during competitions of 5.0 km (Under-13), 6.7 km (Under-15), and 9.0 km (Under-17) [ 2 ], while the total distance for professional adults is within 10–12 km [ 1 , 2 ].…”

Section: Introductionmentioning

confidence: 99%

“…Physiological and physical demands of a soccer match are dissimilar between youth (under 18 years) and senior professional players [ 1 , 2 ]. Young soccer players, on average, cover a total distance during competitions of 5.0 km (Under-13), 6.7 km (Under-15), and 9.0 km (Under-17) [ 2 ], while the total distance for professional adults is within 10–12 km [ 1 , 2 ]. Regarding near-maximal or maximal efforts, young players can perform more than 20–30 sprints [ 2 ] with a mean duration of 1.4 ± 0.4 s [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

“…Young soccer players, on average, cover a total distance during competitions of 5.0 km (Under-13), 6.7 km (Under-15), and 9.0 km (Under-17) [ 2 ], while the total distance for professional adults is within 10–12 km [ 1 , 2 ]. Regarding near-maximal or maximal efforts, young players can perform more than 20–30 sprints [ 2 ] with a mean duration of 1.4 ± 0.4 s [ 3 ]. Soccer also requires several episodes of acceleration, deceleration, and directional changes during a game [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

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Phase Angle Is Related to 10 m and 30 m Sprint Time and Repeated-Sprint Ability in Young Male Soccer Players

Martins

Teixeira

Guglielmo

et al. 2021

IJERPH

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Objective: To examine the association between phase angle (PhA) and bioelectrical impedance vector analysis (BIVA) and components of physical performance in male youth soccer players. Design: Cross-sectional. Methods: Sixty-two players from two professional soccer academies were recruited. Electrical bioimpedance was used to obtain the PhA and BIVA. Body fat (BF) and lean soft tissue mass (LSTM) were measured by dual-energy X-ray absorptiometry. All players completed physical tests including the standing long jump (SLJ), Carminatti’s test (peak speed at the end of the test, PST-CAR), 10 m and 30 m straight-line sprints, and repeated-sprint ability (RSA) test (RSAbest and RSAmean times). Results: Adjusting for chronological age, BF, and LSTM, multiple regression analysis outputs showed that PhA remained inversely related to RSAmean (β = −0.362; p < 0.001), RSAbest (β = −0.239; p = 0.020), 10 m (β = −0.379; p = 0.012), and 30 m (β = −0.438; p < 0.001) sprint times, while the association with PST-CAR and SLJ performance were statistically non-significant. In addition, BIVA showed that differences in confidence ellipses were found between athletes in the reference population and the study sample (p < 0.05). The tolerance ellipses indicated that the athletes in the present study had more total body water (TCW) and lower proportions of intracellular water (ICW) to extracellular water (ECW). The reference population had more TCW and ICW/ECW. Conclusions: Our results suggest that young soccer players with higher PhA values, indicating better cell integrity and functionality, have better performance in typical anaerobic running activities, such as sprinting speed and RSA performance, adjusted to age and body composition characteristics.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Phase Angle Is Related to 10 m and 30 m Sprint Time and Repeated-Sprint Ability in Young Male Soccer Players

Martins

Teixeira

Guglielmo

et al. 2021

IJERPH

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“…In recent years, numerous works have analyzed the competition load through the VID system [8, 9]. However, the main problem is VID validity, and for this reason, some researchers suggest that it is necessary to carry out validity studies and compare the degree of agreement of the VID with other assessment systems [10, 11].…”

Section: Introductionmentioning

confidence: 99%

A comparison of a GPS device and a multi-camera video technology during official soccer matches: Agreement between systems

Pons

Calvo

Resta³

et al. 2019

PLoS ONE

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The aim of this study was to compare the agreement of the movement demands data during a soccer match (total distance, distance per minute, average speed, maximum speed and distance covered in different speed sectors) between an optical tracking system (Mediacoach System) and a GPS device (Wimu Pro). Participants were twenty-six male professional soccer players (age: 21.65 ± 2.03 years; height: 180.00 ± 7.47 cm; weight: 73.81 ± 5.65 kg) from FC Barcelona B, of whom were recorded a total of 759 measurements during 38 official matches in the Spanish second division. The Mediacoach System and the Wimu Pro were compared using the standardized mean bias, standard error of estimate, intraclass correlation coefficients (ICC), coefficient of variation (%), and the regression equation to estimate data for each variable. In terms of agreement between systems, the magnitude of the ICC was almost perfect (> 0.90–1.00) for all variables analyzed. The coefficient of the variations between devices was close to zero (< 5%) for total distance, distance per minute, average speed, maximum speed, and walking and jogging, and between 9% and 15% for running, intense running, and sprinting at low and at high intensities. It can be observed that, compared to Wimu Pro the Mediacoach System slightly overestimated all the variables analyzed except for average speed, maximum speed, and walking variables. In conclusion, both systems can be used, and the information they provide in the analyzed variables can be interchanged, with the benefits implied for practitioners and researchers.

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“…For example, a recent study found that the use of fixed length methods may underestimate WCS running demands [ 13 ]. However, variables including high-speed running actions such as sprinting distance (i.e., distance covered above 25.2 km/h), which are less frequent [ 5 , 14 , 15 ], were not analysed. Consequently, there is a risk of results misinterpretation since the use of fixed length methods may underestimate WCS in low- or medium-speed actions [ 6 , 13 ] but it may be useful for high-speed actions.…”

Section: Introductionmentioning

confidence: 99%

Differences in worst-case scenarios calculated by fixed length and rolling average methods in professional soccer match-play

Oliva-Lozano¹,

Martín-Fuentes²,

Fortes³

et al. 2021

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The aims of this study were to describe the worst-case scenarios (WCS) in professional soccer players calculated by fixed length and rolling average methods with regards to each playing position. This was done, firstly, by comparing total distance (TD covered in the WCS; secondly, by comparing high-speed running distance (HSRD); and thirdly, by comparing sprint distance (SPD). The study was conducted over a three-mesocycle competitive period. The WCS of three distance-related variables (TD, HSRD, SPD) in four time windows (1, 3, 5, 10 minutes) were calculated according to playing position (central defender; full-back; midfielder, wide midfielder, and forward) using fixed length and rolling average methods. A significant effect of the type of method used to calculate the WCS in TD (F (1, 142) = 151.49, p < 0.001, ηp 2 = 0.52), HSRD (F (1, 138) = 336.95, p < 0.001, ηp 2 = 0.71) and SPD (F (1, 138) = 76.74, p < 0.001, ηp 2 = 0.36) was observed. In addition, there was a significant interaction between type of method and WCS duration in TD (F (1.36, 193.53) = 41.95, p < 0.001, ηp 2 = 0.23), HSRD (F (2.28, 315.11) = 21.77, p < 0.001, ηp 2 = 0.14) and SPD (F (2.59, 358.41) = 6.93, p < 0.001, ηp 2 = 0.05). In conclusion, the use of fixed length methods of different durations significantly underestimated the WCS of TD, HSRD and SPD across the most common playing positions in professional soccer players. Therefore, the application of rolling averages is recommended for an appropriate WCS analysis in professional soccer match-play.

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Team Dynamics, Running, and Skill-Related Performances of Brazilian U11 to Professional Soccer Players During Official Matches

Cited by 37 publications

References 43 publications

Phase Angle Is Related to 10 m and 30 m Sprint Time and Repeated-Sprint Ability in Young Male Soccer Players

Phase Angle Is Related to 10 m and 30 m Sprint Time and Repeated-Sprint Ability in Young Male Soccer Players

A comparison of a GPS device and a multi-camera video technology during official soccer matches: Agreement between systems

Differences in worst-case scenarios calculated by fixed length and rolling average methods in professional soccer match-play

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