Predicting Market Value of Iranian Soccer Players Using Linear Modeling Techniques

The purpose of this study was to predict the market value of professional football players in the Iranian Premier League in the 2020-2021 season of Iranian football.

The present research method was descriptive-survey. The statistical population of the present study included all Iranian and foreign players working in the Premier Football League of Iran, which was a total of 409 people. The appropriate sample size for the research was calculated to be 200 people based on the sampling formula from the limited population. Descriptive statistics were used for analysis and multiple regression method was used for inferential analysis. 

The findings showed that there is a significant relationship between player valuation and age variables, goalkeeper position, midfielder position, striker position, individual awards, foot position and his appearances for a team.

Therefore, it can be concluded that when evaluating, the mentioned factors should be considered to attract the desired players of the clubs in the transfer seasons. In general, it can be acknowledged that the estimated coefficients of this model have the necessary efficiency to determine the market value of professional football players in the Iranian Premier League. According to this study, it is suggested that the factors affecting the evaluation of Iranian Premier League players, including the nationality of foreign players, the popularity of Iranian football players and finally individual skills, by relevant evaluating models, the necessary research be conducted.