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1.
Article in English | MEDLINE | ID: mdl-36554521

ABSTRACT

The purpose of this study was to compare and characterize the physical demand of official matches among under-17 (U-17), under-20 (U-20), and professional (Pro) female soccer players. All matches were from the U-17, U-20, and Pro National Brazilian Championships. Fourteen Pro matches, nine U-20 matches, and four U-17 matches were analyzed. The external load was measured by the global positioning system (GPS) and the internal workload was assessed by the ratings of perceived exertion (RPE) multiplied by the duration of the match. The activity profiles measured were total distance covered (km), total sprint distance (m) (speed > 18 km·h-1), number of accelerations and decelerations (between 1 and 2 m·s-2 and >3 m·s-2), and top speed (km·h-1). For the analysis, we standardized all the metrics (except the top speed) by the time (in minutes) played. The Pro group presented higher sprint distances, number of accelerations and decelerations, and top speeds, compared to U-20 and U-17. There was no difference in the total distance among groups, and there was no difference in any GPS metrics between U-20 and U-17. The RPE was higher in Pro and U-17, compared to U-20; however, the workload-RPE was higher in Pro, compared to both U-17 and U-20 groups. These findings provide important information for the evolution of physical performance according to age categories in elite female soccer players.


Subject(s)
Soccer , Humans , Female , Geographic Information Systems , Brazil , Acceleration , Workload
2.
J Sports Med Phys Fitness ; 58(3): 256-262, 2018 Mar.
Article in English | MEDLINE | ID: mdl-28198600

ABSTRACT

BACKGROUND: The main aim of this study was to analyze the relationship between field tests and match running performance using computational tracking technology in high-level young Brazilian soccer players. METHODS: Twenty-five young male Brazilian soccer players participated in this study (U-15, N.=13; U-17, N.=12). In the same week, the players were submitted to field tests and actual matches. The field tests were: Maximum Speed (10-30 m), Zig-Zag, Running-based Anaerobic Sprint Test, and Yo-Yo Intermittent Recovery Test Level 1. Additionally, participants performed actual soccer match-play. Match running performance was collected using a fixed video-camera. Subsequently, computerized tracking video-analysis (30 Hz) was utilized to identify each physical performance indicator. Pearson's correlation and linear regression were used for statistical analysis. RESULTS: The results showed that the majority of field tests were not related to match running performance. The Zig-Zag Test, Running-based Anaerobic Sprint Test, and Yo-Yo Intermittent Recovery Test level 1 seem to be the most specific tests (r=0.41-0.47), however the explanatory powers of these field tests in relation to match running performance were low (R2=17-22%). CONCLUSIONS: Assessment of match running performance should be included in the evaluation periods of young soccer players, together with the most specific tests reported.


Subject(s)
Athletic Performance , Soccer/physiology , Adult , Brazil , Exercise Test , Humans , Information Technology , Male , Running/physiology , Young Adult
3.
J Appl Biomech ; 32(6): 578-585, 2016 Dec.
Article in English | MEDLINE | ID: mdl-27620134

ABSTRACT

The aims of the current study were to analyze a kick from 10 m in a futsal context and the parameters of muscular strength using an isokinetic dynamometer in a laboratory environment, performed with the dominant (DL) and nondominant lower limbs (NDL). Seventeen professional elite players participated. Kicking performance was evaluated from the second penalty mark. Next, athletes completed a strength evaluation with an isokinetic dynamometer at speeds of 60°â‹…s-1, 180°â‹…s-1, and 300°â‹…s-1. Significant differences were observed for hip (15.64 ± 3.44; 13.97 ± 2.62), ankle (63.19 ± 8.90; 52.55 ± 8.72), foot (82.31 ± 7.93; 68.41 ± 7.85), and ball (99.74 ± 8.45; 88.31 ± 7.93) speeds (km⋅h-1), and average power at 180°â‹…s-1 (325.59 ± 40.47; 315.79 ± 39.49 W), but not for accuracy (1.33 ± 0.57; 1.66 ± 0.77 m) between the DL and NDL, respectively. Few moderate correlations were observed in the DL (r = .54-.64) or NDL (r = .53-.55) between the kinematic variables of kick and muscular strength parameters (P < .05). We conclude that highly trained players present asymmetries in kicking motion; however, the imbalance in muscular strength is very small. We recommend that specific court tests be conducted to reliably characterize kicking performance in futsal. Success in kicking seems to be too variable and complex to be totally predicted only by joints, foot and ball speed, and lower limb muscular strength parameters.


Subject(s)
Athletic Performance/physiology , Lower Extremity/physiology , Muscle Strength/physiology , Muscle, Skeletal/physiology , Sports/physiology , Adult , Biomechanical Phenomena , Brazil , Humans , Image Processing, Computer-Assisted , Male
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