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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Main Authors: | Danielle Khalife, Jad Yammine, Elias Chbat, Chamseddine Zaki, Nada Jabbour Al Maalouf |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-06-01
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Series: | International Journal of Financial Studies |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7072/13/2/111 |
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Science and football : proceedings of the First World Congress of Science and Football, Liverpool, 13-17th April 1987 /
Published: (1988)