performance variable

The aim of the present study was to identify performance variables affecting the pricing of Iranian football goalkeepers. The research method was qualitative, based on the thematic analysis. The statistical population of the study was consisted of all Iranian Individuals with AFC coaching professional qualifications, Iranian Premier League coaches and Football instructors. The sampling method was theorical selected and data were collected with 11 coaches and instructors. The data collection tool was an open interview, and data collection continued until theoretical saturation, meaning that the researcher did not obtain new data and code after the ninth interview, thereby halting the sampling process (9 + 2). Coding method and inductive approach to final themes were used for data analysis. NVIVO10 software was also used for data analysis. The results indicate that variables for the defensive functional variables of the goalkeeper include conceded goal, Success in one vs one situations, Sweeper Role, Shoot Control, Saving the Goal, Mistake Lead to Goal or Chance Create and Aerial Won and variables for offensive functional variables of the goalkeeper include assist, chance create, Key Pass, Passes and two-footed. Therefore, it is recommended to pay attention to the research results in designing the pricing model of the goalkeepers.

Football player pricing helps clubs and managers perform best in the negotiation process to attract players. Therefore, the aim of the present study was to identify and weigh the performance variables affecting the pricing of Iranian football strikers. The research method was mixed method (qualitative-quantitative). the thematic analysis method was used to identify the performance variables, and Analytic Hierarchy Process was used to weigh the variables. The statistical population was consisted of all Iranian Individuals with AFC coaching professional qualifications, Iranian Premier League coaches and Football instructors. The sampling method was theorical selected and Finally, first interviews were conducted with 11 specialists, then asked them to complete the designed questionnaire. NVIVO10 software was used to analyze qualitative data and Expert Choice Software was used to analyze quantitative data. The results of the research indicate that the variables of goal scoring, assists and creating a chance with weights of. 0.231, 0.160, And 0.146 are the most important variables and variables of Sliding Tackles, defensive Aerial and Blocks with weights of 0.10, 0.10, And 0.009 Variables were the lowest weight. Goal scoring, assist, create chance and shooting also had the highest absolute weight among variables. It is recommended to pay attention to the variables of this research and the weight of each of them in the design of the pricing model of the striker players.