Modelo competitivo da distância percorrida por futebolistas na Uefa Euro 2008

Braz, Tiago Volpi; Spigolon, Leandro Mateus Pagoto; Vieira, Nathália Arnosti; Borin, João Paulo

doi:10.1590/s0101-32892010000300012

Cited by 3 publications

(3 citation statements)

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“…A média da distância percorrida para 70 minutos de jogo foi de 8234.8 m, significando que os atletas percorreram 117.6 m por minuto. No entanto, as maiores distâncias percorridas na nossa pesquisa aproximaram-se dos 10 Km, encontrados em outros estudos com jogadores adultos (SANTOS; VALENTE; SOARES, 2001;BRAZ, 2009;PASQUARELLI et al, 2009).…”

Section: Discussionunclassified

“…De acordo com Bangsbo (1994), a distância média percorrida varia muito entre os jogadores de acordo com a posição em campo, sendo que os meio-campistas correm mais em baixa velocidade do que os outros jogadores. Coincidentemente com outros estudos em atletas adultos (BANGSBO; NORREGAARD; THORSO, 1991;BRAZ, 2009) Em nossa amostra, na zona de velocidade Z4 (>14 Km/h), a média da distância percorrida foi de 1098.5 m (13.3% da distância total). Bradley et al (2010), analisando no futebol 100 jogadores nacionais e 10 internacionais adultos, com o recurso de uma multicâmera computadorizada Tracking System®, encontraram valores para as distâncias em corrida de alta intensidade de 2520 e 2745 m, respectivamente.…”

Section: Discussionunclassified

“…Segundo Braz (2009), um fator influenciador no processo está relacionado aos métodos de análise das ações competitivas dos futebolistas. Esses métodos evoluíram dos meios manuais de anotação para os meios informáticos, culminando recentemente na digitalização automática por meio da captura de imagem sob diferentes perspectivas do jogo.…”

Section: Introductionunclassified

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Caracterização métrica em futebolistas Sub-15

Godinho¹,

Figueiredo²,

Vaz³

2013

Rev. Bras. Ciênc. Esporte

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Section: Discussionunclassified

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Caracterização métrica em futebolistas Sub-15

Godinho¹,

Figueiredo²,

Vaz³

2013

Rev. Bras. Ciênc. Esporte

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Evaluation of Research Using Computerised Tracking Systems (Amisco® and Prozone®) to Analyse Physical Performance in Elite Soccer: A Systematic Review

2014

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This systematic review demonstrates that Computerised video tracking systems are a valuable data collection tool to enable sports scientists to identify the current physical demands placed on players in competition to allow them to apply data to training and testing protocols. Current Computerised tracking systems in elite soccer still provide adequate detail on the physical and technical performances of players but must develop further to compete with the array of additional parameters offered by new technologies such as global or local positioning system technology. However, physical parameters are highly dependent on the role played by technical and tactical factors, and thus improved knowledge of these parameters is needed to allow a more complete understanding of their impact on physical demands.

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Activity Profiles of Soccer Players During the 2010 World Cup

Clemente¹,

Couceiro²,

Martins³

et al. 2013

Journal of Human Kinetics

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The main objective of this study was to analyse the distance covered and the activity profile that players presented at the FIFA World Cup in 2010. Complementarily, the distance covered by each team within the same competition was analysed. For the purposes of this study 443 players were analysed, of which 35 were goalkeepers, 84 were external defenders, 77 were central defenders, 182 were midfielders, and 65 were forwards. Afterwards, a thorough analysis was performed on 16 teams that reached the group stage, 8 teams that achieved the round of 16, 4 teams that reached the quarter-finals, and 4 teams that qualified for the semi-finals and finals. A comparison of the mean distance covered per minute among the playing positions showed statistically significant differences (F(4,438) = 559.283; p < 0.001; 2 = 0.836; Power = 1.00). A comparison of the activity time among tactical positions also resulted in statistically significant differences, specifically, low activity (F(4,183.371) = 1476.844; p < 0.001; 2 = 0.742; Power = 1.00), medium activity (F(4,183.370) = 1408.106; p < 0.001; 2 = 0.731; Power = 1.00), and high activity (F(4,182.861) = 1152.508; p < 0.001; 2 = 0.703; Power = 1.00). Comparing the mean distance covered by teams, differences that are not statistically significant were observed (F(3,9.651) = 4.337; p < 0.035; 2 = 0.206; Power = 0.541). In conclusion, the tactical positions of the players and their specific tasks influence the activity profile and physical demands during a match.

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Modelo competitivo da distância percorrida por futebolistas na Uefa Euro 2008

Abstract: * O presente trabalho não contou com apoio financeiro de nenhuma natureza para sua realização.Não houve conflitos de interesses para realização do presente estudo.

Cited by 3 publications

References 15 publications

Caracterização métrica em futebolistas Sub-15

Caracterização métrica em futebolistas Sub-15

Evaluation of Research Using Computerised Tracking Systems (Amisco® and Prozone®) to Analyse Physical Performance in Elite Soccer: A Systematic Review

Activity Profiles of Soccer Players During the 2010 World Cup

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