Activity profile of training and matches in Brazilian Olympic female soccer team

Ramos, Guilherme Passos; Datson, Naomi; Mahseredjian, Fábio; Lopes, Thiago Ribeiro; Coimbra, Cândido Celso; Prado, Luciano Sales; Nakamura, Fábio Yuzo; Penna, Eduardo Macedo

doi:10.1080/24733938.2019.1615120

Cited by 21 publications

(32 citation statements)

References 27 publications

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“…Due to limited match playtime and the fact small-sided games and technical and tactical pitch-based training have been shown not to meet the demands of elite female match play, regular exposure to high speed running and sprinting may be vastly reduced. 32 As a result, the U19 players competing at senior level potentially experience decreased total training loads and exposure to the strength and power-based high-intensity actions of match play which may explain the lack of difference in CMJ performance with the U17 age group in this current study.…”

Section: Discussionmentioning

confidence: 74%

Differences in anthropometric and physical performance characteristics between U17, U19, and Senior Irish female international football players

Doyle

Browne

Horan³

2020

International Journal of Sports Science & Coaching

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This study aimed to compare the anthropometric physical performance characteristics of Irish female international footballers at U17, U19, and Senior age groups. Fifty-five (U17, n =24, U19, n =21, Senior, n = 10) female international football players participated in this study. The subjects underwent anthropometric measurements (height and body mass) and physical performance tests countermovement jump (CMJ), reactive strength index (RSI), 10-m, 20-m, 30-m linear sprint, and yo-yo intermittent recovery test level 1 (YYIR1). No significant differences were identified between any age groups for the anthropometric measures of height and body mass. Concerning the physical tests, senior players displayed greater CMJ scores in comparison with the U17 (P = 0.040). Senior players also possessed higher levels of reactive strength with large effect sizes present (ES = 0.83 - 0.92) in comparison to all age groups. No significant differences were identified between any of the age groups across the 10-m, 20-m, 30-m, and rolling 20-m linear speed assessments. Senior players covered the greatest distance in the YYIR1 (P = 0.0001) versus the U19 and U17. These results indicate there was no difference in the anthropometric profile of the age groups assessed. However, differences in physical performance characteristics were present between age groups, thus suggesting improvements in lower limb power and aerobic endurance are achievable in adulthood as players physically mature.

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Section: Discussionmentioning

confidence: 74%

Differences in anthropometric and physical performance characteristics between U17, U19, and Senior Irish female international football players

Doyle

Browne

Horan³

2020

International Journal of Sports Science & Coaching

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“…[ 36 – 39 , 51 , 53 , 56 , 59 , 63 , 66 , 69 , 71 , 73 , 74 , 84 – 86 , 88 , 89 , 101 – 103 , 108 , 109 , 112 – 115 , 118 , 121 – 124 , 129 , 130 , 137 , 138 , 140 ]…”

Section: Resultsunclassified

The Quantification of Acceleration Events in Elite Team Sport: a Systematic Review

et al. 2021

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Background Wearable tracking devices are commonly utilised to quantify the external acceleration load of team sport athletes during training and competition. The ability to accelerate is an important attribute for athletes in many team sports. However, there are many different acceleration metrics that exist in team sport research. This review aimed to provide researchers and practitioners with a clear reporting framework on acceleration variables by outlining the different metrics and calculation processes that have been adopted to quantify acceleration loads in team sport research. Methods A systematic review of three electronic databases (CINAHL, MEDLINE, SPORTDiscus), was performed to identify peer-reviewed studies that published external acceleration load in elite team sports during training and/or competition. Articles published between January 2010 and April 2020 were identified using Boolean search phrases in relation to team sports (population), acceleration/deceleration (comparators), and competition and/or training (outcome). The included studies were required to present external acceleration and/or deceleration load (of any magnitude) from able-bodied athletes (mean age ≥ 18 years) via wearable technologies. Results A total of 124 research articles qualified for inclusion. In total, 113/124 studies utilised GPS/GNSS technology to outline the external acceleration load of athletes. Count-based metrics of acceleration were predominant of all metrics in this review (72%). There was a lack of information surrounding the calculation process of acceleration with 13% of studies specifying the filter used in the processing of athlete data, whilst 32% outlined the minimum effort duration (MED). Markers of GPS/GNSS data quality, including horizontal dilution of precision (HDOP) and the average number of satellites connected, were outlined in 24% and 27% of studies respectively. Conclusions Team sport research has predominantly quantified external acceleration load in training and competition with count-based metrics. Despite the influence of data filtering processes and MEDs upon acceleration, this information is largely omitted from team sport research. Future research that outlines acceleration load should present filtering processes, MEDs, HDOP, and the number of connected satellites. For GPS/GNSS systems, satellite planning tools should document evidence of available satellites for data collection to analyse tracking device performance. The development of a consistent acceleration filtering method should be established to promote consistency in the research of external athlete acceleration loads.

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“…The total distance (TD) in meters, high-speed run >18 km•h −1 in meters (HSR), number of sprints at >18 km•h −1 (N • S), peak speed in km•h −1 (PS), meters per minute (M/M) and number of accelerations >2 m•s −2 (N • AC) were recorded. These data are often used by coaches and sport scientists to monitor loads and observe performance in training and official matches in women's football [7,[34][35][36][37][38][39]. Field players wore 10 Hz GPS devices (Optimeye S5, Catapult Sports, Melbourne, Australia) between the shoulder blades in a neoprene inner top.…”

Section: Gps Monitoringmentioning

confidence: 99%

“…In this regard, research in women's football has increased significantly over the last two decades [4,5]. Football professionals and sport scientists are looking for key factors that contribute to the optimization of elite female players' performance both in training and in competition [6,7].…”

Section: Introductionmentioning

confidence: 99%

Relationship between Physical Fitness and Match Performance Parameters of Chile Women’s National Football Team

Villaseca-Vicuña

Otero-Saborido

Pérez-Contreras

et al. 2021

IJERPH

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The aim of this study was to analyze the relationships between the level of physical fitness and the physical performance parameters recorded by GPS in official FIFA matches of the Chilean women’s senior national football team in the period 2018–2020. Twenty-six female field players (age (mean ± SD) 26.8 ± 3.3 years, height 157.8 ± 21.5 cm, weight 58.9 ± 4.9 kg) participated in the study. Physical fitness variables were assessed: muscular strength, countermovement jump (CMJ), speed, agility and aerobic fitness. Physical performance variables were recorded by GPS in 26 official FIFA matches. The most notable associations with significant statistical significance (p < 0.001) were those observed between neuromuscular variables such as time to run 10 m (T10; r = −0.629) and jump (CMJ; r = 0.502) and the number of accelerations; aerobic fitness showed a highly significant relationship with meters run per minute (M/M; r = 0.589). The findings of this study provide evidence of how the level of physical fitness (neuromuscular and aerobic) relates to physical performance parameters recorded in official competitions.

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Activity profile of training and matches in Brazilian Olympic female soccer team

Cited by 21 publications

References 27 publications

Differences in anthropometric and physical performance characteristics between U17, U19, and Senior Irish female international football players

Differences in anthropometric and physical performance characteristics between U17, U19, and Senior Irish female international football players

The Quantification of Acceleration Events in Elite Team Sport: a Systematic Review

Relationship between Physical Fitness and Match Performance Parameters of Chile Women’s National Football Team

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