predicting market value of iranian football players using linear modeling techniques

Purpose: 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. methods: method of the present study was descriptive-survey. the statistical population of the present study included all iranian and foreign players working in the iranian 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% error 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 relationship between player valuation and age variables, goalkeeper position, midfielder position, striker position, individual awards, foot position and number of games 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. conclusion: 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 league.