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This study analyzes a structural model on PGA players’ athletic performance and identifies differences in the structural model based on the players’ performance level, using multiple-group analysis. For this purpose, the players were classified into two groups according to the collected three-year athletic performance data: superior group for those who earned over USD 50,000, and non-superior group with earnings below USD 50,000. The collected data include driving distance, driving accuracy percentage, greens in regulation percentage, scrambling, sand save percentage, putts per round, and scoring average. The data were analyzed using AMOS 7.0. The analysis result shows that the average of the PGA players in the superior group is influenced by driving distance, driving accuracy percentage, greens in regulation percentage, scrambling, and putts per round. Driving distance has the most influence. On the contrary, such elements as driving distance, driving accuracy percentage, greens in regulation percentage, scrambling, sand save percentage, and putts per round influence the average of the non-superior group players. Greens in regulation percentage is the element with the most influence. In conclusion, there was a difference in the athletic performance found in the structural model analysis of the superior and non-superior groups. Moreover, the biggest differences in the athletic performance in the two groups are affected by scrambling and the performance is much higher in the superior group.