Abstract
This paper examines the European soccer transfer market, which, as the worlds most popular sport, has its unique rules for player trading. The transfers are the most exciting events in the soccer world each year. While most studies focus on a players market value, this paper intends to study the actual transfer amount, which represents the transaction that occurred, rather than an estimated result. In the preparation phase, this study gathered data on the top 25 transfers over the past 14 years (350 transactions in total) in an Excel spreadsheet. The study aims to determine the important substances that contribute to a players transfer fee by constructing several linear multiple regression models using statistical software R Studio. It is concluded that age and in-field performance (goal and assist) are the most related factors for the whole dataset. However, the determining factors will vary depending on a players position. Many of the factors are somewhat counterintuitive and further investigation is required.
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