In this research project, I delve into the intricacies of football player valuation, examining how performance metrics, alongside non-performance factors like age, nationality, and height, influence market value. Utilising the comprehensive WyScout database, I applied neural networks to accurately predict players' positions based on their performance data. This exploration sheds new light on the multifaceted elements that determine a player's market worth, offering a deeper understanding of valuation in the football realm.