Predicting Market Value of Iranian Football Players Using Linear Modeling Techniques

The purpose of this study was to predict the mar-ket value of professional football players in the Iranian Premier League in the 2020-2021 season of Iranian foot-ball. Methods: method of the present study was descriptive-survey. The statistical population of the present study in-cluded all Iranian and foreign players working in the Ira-nian Football Premier League, which totaled 409 people the appropriate sample size for the research was calculated based on the community sampling formula and at a 5% er-ror level, 200 people were calculated descriptive statistics was used for analysis and multiple regression method was used for inferential analysis. Results: Results showed that there is a significant relation-ship between player valuation and age variables, goal-keeper position, midfielder position, striker position, indi-vidual awards, foot position and number of games there-fore, it can be concluded that when evaluating, the men-tioned factors should be considered to attract the desired players of the clubs in the transfer seasons. Conclusion: In general, it can be acknowledged that the estimated coefficients of this model have the necessary ef-ficiency to determine the market value of professional football players in the Iranian league.