Estimating transfer fees of professional footballers using advanced performance metrics and machine learning

DOI10.1016/j.ejor.2022.06.033OpenAlexW4283159414MaRDI QIDQ2106754

Benjamin Holmes, Ian G. McHale

Publication date: 19 December 2022

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2022.06.033

zbMATH Keywords

xgboostmachine learningOR in sportsanalyticsmoneyball

Mathematics Subject Classification ID

Operations research and management science (90Bxx)

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Uses Software

• GitHub

Cites Work

• Unnamed Item
• Beyond crowd judgments: data-driven estimation of market value in association football
• The wisdom of crowds and transfer market values
• Plus-minus player ratings for soccer
• Assessing the market values of soccer players – a robust analysis of data from German 1. and 2. Bundesliga

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