Article
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Statistical Modelling of Football Players’ Transfer Fees Worldwide
Version 1
: Received: 21 August 2024 / Approved: 22 August 2024 / Online: 22 August 2024 (08:25:36 CEST)
How to cite: Poli, R.; Besson, R.; Ravenel, L. Statistical Modelling of Football Players’ Transfer Fees Worldwide. Preprints 2024, 2024081603. https://doi.org/10.20944/preprints202408.1603.v1 Poli, R.; Besson, R.; Ravenel, L. Statistical Modelling of Football Players’ Transfer Fees Worldwide. Preprints 2024, 2024081603. https://doi.org/10.20944/preprints202408.1603.v1
Abstract
Billions of euros are invested every year by professional football clubs for the recruitment of players. This article presents the latest advances in the statistical modelling of the factors that market actors take into consideration to determine the transfer prices of professional football players. It extends to a global scale the econometric approach previously developed by the authors to evaluate the transfer prices of players under contract with clubs from the five major European leagues. The statistical technique used to build the model is multiple linear regression (MLR), with fees paid by clubs as an independent variable. The sample comprises over 8000 transactions of players transferred for money from clubs worldwide during the period stretching from July 2014 to March 2024. This paper shows that a statistical model can explain almost 85% of the differences in the transfer fees paid for players. Despite the specific cases and other possible distortions mentioned in the discussion, the use of a statistical model to determine player transfer prices seems highly relevant.
Keywords
football; soccer; transfer value; transfer fees; econometric model; world
Subject
Business, Economics and Management, Econometrics and Statistics
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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