AI RESEARCH
Objective Mispricing Detection for Shortlisting Undervalued Football Players via Market Dynamics and News Signals
arXiv CS.LG
•
ArXi:2603.17687v1 Announce Type: new We present a practical, reproducible framework for identifying undervalued football players grounded in objective mispricing. Instead of relying on subjective expert labels, we estimate an expected market value from structured data (historical market dynamics, biographical and contract features, transfer history) and compare it to the observed valuation to define mispricing.