Cargando…
Using multiple machine learning algorithms to classify elite and sub-elite goalkeepers in professional men’s football
This study applied multiple machine learning algorithms to classify the performance levels of professional goalkeepers (GK). Technical performances of GK’s competing in the elite divisions of England, Spain, Germany, and France were analysed in order to determine which factors distinguish elite GK’s...
Autores principales: | Jamil, Mikael, Phatak, Ashwin, Mehta, Saumya, Beato, Marco, Memmert, Daniel, Connor, Mark |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8609025/ https://www.ncbi.nlm.nih.gov/pubmed/34811371 http://dx.doi.org/10.1038/s41598-021-01187-5 |
Ejemplares similares
-
Match-play movement and metabolic power demands of elite youth, sub-elite and elite senior Australian footballers
por: Kelly, Stephen J., et al.
Publicado: (2019) -
Biomechanical Analysis of Anticipation of Elite and Inexperienced Goalkeepers to Distance Shots in Handball
por: Rojas, F. Javier, et al.
Publicado: (2012) -
Motion analysis of elite Polish soccer goalkeepers throughout a season
por: Szwarc, Andrzej, et al.
Publicado: (2019) -
The Effects of a Weighted Football Intervention on Ball Velocity of a Standard Football Place-Kick among Elite Gaelic Football Goalkeepers: A Single-Subject Designed Study
por: Jermyn, Sam, et al.
Publicado: (2022) -
Professional assessment of potential concussions in elite football tournaments
por: Tarzi, Christopher, et al.
Publicado: (2020)