We introduce an original dataset for football analytics, adopting detailed event and performance data from the Italian Serie A season 2022/2023. The dataset integrates information from multiple sources, including whoscored.com, understat.com, and sofifa.com, through an advanced ETL process. It includes over 8,400 shot actions with variables such as pass details, player roles, pitch coordinates, and performance indices derived via a PLS-SEM approach. Preliminary analyses highlight the potential of the dataset to uncover insights into player performance and team strategies. This resource aims to support advanced research in football analytics, including extensions to the expected goals framework and evaluations of player contributions during actions.
A New Dataset for Exploring Actions of Italian Football Matches
Mattia Cefis
;Rodolfo Metulini;Maurizio Carpita
2025-01-01
Abstract
We introduce an original dataset for football analytics, adopting detailed event and performance data from the Italian Serie A season 2022/2023. The dataset integrates information from multiple sources, including whoscored.com, understat.com, and sofifa.com, through an advanced ETL process. It includes over 8,400 shot actions with variables such as pass details, player roles, pitch coordinates, and performance indices derived via a PLS-SEM approach. Preliminary analyses highlight the potential of the dataset to uncover insights into player performance and team strategies. This resource aims to support advanced research in football analytics, including extensions to the expected goals framework and evaluations of player contributions during actions.| File | Dimensione | Formato | |
|---|---|---|---|
|
IES2025_Soccer_Contribute_Cefis_et_al.pdf
accesso aperto
Tipologia:
Full Text
Licenza:
Dominio pubblico
Dimensione
286.98 kB
Formato
Adobe PDF
|
286.98 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
