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Abstract

This study focuses on developing a model for transfer fees paid for the players sold to the fifteen most valuable and the richest soccer clubs in the world. Using the data primarily collected from transfermarkt.com, a leading soccer database focusing on transfers and soccer community valuations, we ran a linear regression using five variables measuring popularity, monetary valuation, and productivity. Results show that variables such as number of Google searches, number of years on contract left, community valuation of a player, number of goals and assists, and race of a player significantly influence the transfer fee paid for a player. Moreover, it shows that the transfer fee for the most expensive soccer player ever is not random and can be explained using the right independent variables.

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