Is Football players' performance influenced by the quality of opposition? Application of the golden index formula in Club Atlético de Madrid 2016/2017
Motriz (Online)
; 25(1): e101983, 2019. tab
Artigo
em Inglês
|
LILACS-Express
| LILACS
| ID: biblio-1012687
Biblioteca responsável:
BR1.1
ABSTRACT
Aim:
In this study, we sought to analyze the influence of the quality of opposition on players' performance of Club Atlético de Madrid (ATM) 2016/2017. For that, the Golden Index (GI) formula was applied to identify and rank the Golden Players of ATM when playing against opponents of different quality levels.Methods:
GI formula variables were collected through notational analysis and three global adjacency matrices were constructed to record all successful ball-passing actions performed. Next, the matrices were imported to SocNetV to collect the network centrality metrics. To uniformize each variable, the statistical standardization technique was applied to all variables. ATM opponents were classified into three groups high-level (n=4), medium-level (n=2) and low-level (n=2), according to their classification in La Liga and participation in the final stage of UEFA Champions League 2016/2017.Results:
Koke was considered the Golden Player playing against high-level teams, while opposing low-level opponents he was ranked as second. Against medium- and low-level teams, Antoine Griezmann was considered the Golden Player, but was not classified in the three first positions against high-level opponents. Yannick Carrasco and Filipe Luís were ranked in the second and third positions, respectively, when playing against high- and medium-level opponents. Also, Saúl Ñíguez obtained the third higher index against low-level teams.Conclusions:
This study evidenced that players' individual performance is influenced by the quality of the opposition. Additionally, the GI formula proved to be a potent tool in analyzing player's performance in attacking plays in Football.(AU)
Texto completo:
Disponível
Coleções:
Bases de dados internacionais
Base de dados:
LILACS
Tipo de estudo:
Estudo prognóstico
Idioma:
Inglês
Revista:
Motriz (Online)
Assunto da revista:
EducaÆo F¡sica e Treinamento
/
Medicina Esportiva
/
Medicina F¡sica e ReabilitaÆo
Ano de publicação:
2019
Tipo de documento:
Artigo
País de afiliação:
Portugal
Instituição/País de afiliação:
Universidade do Porto/PT