Dynamic Financial Valuation of Football Players: A Machine Learning Approach Across Career Stages

The financial valuation of professional football players is influenced by multiple factors that evolve throughout a player’s career. This study examines these determinants using Gradient Boosting Machine Learning models, segmented by three age categories and three playing positions to capture the dy...

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Bibliografski detalji

Glavni autori:	Danielle Khalife, Jad Yammine, Elias Chbat, Chamseddine Zaki, Nada Jabbour Al Maalouf
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2025-06-01
Serija:	International Journal of Financial Studies
Teme:	sports finance football player valuation machine learning gradient boosting market efficiency sports analytics
Online pristup:	https://www.mdpi.com/2227-7072/13/2/111
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