From bias to bid: AI and behavioural influences on the valuation of sports players

Cezara-Georgiana Radu and Wiktor Walczak
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Cezara-Georgiana Radu: Bucharest University of Economic Studies, Romania
Wiktor Walczak: Wroclaw University of Economics and Business, Poland

Theoretical and Applied Economics, 2025, vol. XXXII, issue Special, Summer, 139-144

Abstract: This article aims to study the main criteria underlying the transfers of football players. It has been observed that performance is strictly related to the salary a player gets, but its market value can also vary depending on other aspects such as age or people's prejudices. The case study is based on a linear regression performed on 50 La Liga players for the 2024-2025 season. As a result, it was observed that the market value of the players is related to the number of goals, assists and their age.

Keywords: player valuation; behavioural bias; sports economics; transfer market; artificial intelligence. (search for similar items in EconPapers)
Date: 2025
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