The paper aims at defining a data-driven approach to team management in basketball. A model-based strategy, based on a modification of the adjusted plus-minus approach, is proposed for the analyses of the match progress. The main idea is to define a model based on the 5-man lineups instead of the single players. In this framework, given the large number of possible lineups, the regularization issue is quite relevant. The empirical application is based on the data of the current Italian championship (Serie A1). The play-by-play data are considered along with some information resulting from the game box scores.

Estimation of lineup efficiency effects in Basketball using play-by-play data

Luca Grassetti
;
Ruggero Bellio;Giovanni Fonseca;Paolo Vidoni
2019-01-01

Abstract

The paper aims at defining a data-driven approach to team management in basketball. A model-based strategy, based on a modification of the adjusted plus-minus approach, is proposed for the analyses of the match progress. The main idea is to define a model based on the 5-man lineups instead of the single players. In this framework, given the large number of possible lineups, the regularization issue is quite relevant. The empirical application is based on the data of the current Italian championship (Serie A1). The play-by-play data are considered along with some information resulting from the game box scores.
2019
9788891915108
File in questo prodotto:
File Dimensione Formato  
sis2019-Estratto.pdf

accesso aperto

Tipologia: Documento in Post-print
Licenza: Creative commons
Dimensione 133.92 kB
Formato Adobe PDF
133.92 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11390/1164625
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact