A strategy to predict association football players' passing skills

Transfers are big business in association football. This paper develops a generalized additive mixed model that aids managers in predicting how a football player is expected to perform in a new team. It do es so by using event-level data from the Spanis hand the Colombian football leagues. Using pas...

Full description

Autores:

Tovar Mora, Jorge Andrés
Clavijo, Andrés
Cárdenas, Julián

Tipo de recurso:

Work document

Fecha de publicación:

2017

Institución:

Universidad de los Andes

Repositorio:

Séneca: repositorio Uniandes

Idioma:

eng

OAI Identifier:

oai:repositorio.uniandes.edu.co:1992/8856

Acceso en línea:

http://hdl.handle.net/1992/8856

Palabra clave:

Generalized additive mixed models
Football
Sports forecasting
Passing
Fútbol - Modelos matemáticos
Futbolistas - Valoración
Productividad - Modelos estadísticos
Modelos lineales (Estadística)
C53, Z21, Z22

Rights

openAccess

License

http://creativecommons.org/licenses/by-nc-nd/4.0/