Your browser doesn't support javascript.
loading
Explaining the difference between men's and women's football.
Pappalardo, Luca; Rossi, Alessio; Natilli, Michela; Cintia, Paolo.
Afiliación
  • Pappalardo L; Institute of Information Science and Technologies (ISTI), National Research Council (CNR), Pisa, Italy.
  • Rossi A; Department of Computer Science, University of Pisa, Pisa, Italy.
  • Natilli M; Department of Computer Science, University of Pisa, Pisa, Italy.
  • Cintia P; Department of Computer Science, University of Pisa, Pisa, Italy.
PLoS One ; 16(8): e0255407, 2021.
Article en En | MEDLINE | ID: mdl-34347829
Women's football is gaining supporters and practitioners worldwide, raising questions about what the differences are with men's football. While the two sports are often compared based on the players' physical attributes, we analyze the spatio-temporal events during matches in the last World Cups to compare male and female teams based on their technical performance. We train an artificial intelligence model to recognize if a team is male or female based on variables that describe a match's playing intensity, accuracy, and performance quality. Our model accurately distinguishes between men's and women's football, revealing crucial technical differences, which we investigate through the extraction of explanations from the classifier's decisions. The differences between men's and women's football are rooted in play accuracy, the recovery time of ball possession, and the players' performance quality. Our methodology may help journalists and fans understand what makes women's football a distinct sport and coaches design tactics tailored to female teams.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Fútbol Tipo de estudio: Prognostic_studies Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2021 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Fútbol Tipo de estudio: Prognostic_studies Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2021 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Estados Unidos