What determine soccer players' wages: The case of the English Premier League (EPL)
| dc.contributor.author | Kouh Bor, Mohammadamin | |
| dc.contributor.supervisor | Baniasadi, Amirali | |
| dc.date.accessioned | 2024-11-21T23:30:57Z | |
| dc.date.available | 2024-11-21T23:30:57Z | |
| dc.date.issued | 2024 | |
| dc.degree.department | Department of Electrical and Computer Engineering | |
| dc.degree.level | Master of Engineering MEng | |
| dc.description.abstract | This study explores the determinants of wage structures in the English Premier League (EPL), one of the world’s most financially influential soccer leagues. Examining both traditional performance metrics—such as goals scored, assists, and minutes played—and emerging non-performance factors, including nationality, marketability, and club revenue, this study seeks to identify how these variables affect wage disparities among EPL players. After data cleaning, utilizing a dataset of 3,522 player-seasons across 31 teams- that attended at least on EPL season- spanning seven EPL seasons, this research employs machine learning techniques to predict wages based on a comprehensive range of performance and demographic factors. The findings suggest that while performance metrics remain crucial, non-performance factors, particularly nationality and Age play an increasingly prominent role in wage determination, contributing to sustained wage inequalities. Additionally, advanced models indicate that club financial resources, player positional roles, and club’s broadcast income significantly influence wage variability. This analysis provides an understanding Towards the economic and social forces shaping player wages and underscores the need for a balanced approach to wage determination to support both financial sustainability and equity in professional soccer. | |
| dc.description.scholarlevel | Graduate | |
| dc.identifier.uri | https://hdl.handle.net/1828/20798 | |
| dc.language.iso | en | |
| dc.rights | Available to the World Wide Web | |
| dc.subject | EPL | |
| dc.subject | wage prediction | |
| dc.subject | machine learning | |
| dc.subject | regression | |
| dc.title | What determine soccer players' wages: The case of the English Premier League (EPL) | |
| dc.type | project |