This study used Data Envelopment Analysis (DEA) to figure out the professional golfers' performance in top 50 money leaders of the Professional Golf Association Tournament (PGA tour) in 2004. It set 1 input (events), 7 outputs (money leaders, driving distance, driving accuracy percentage, greens in regulation percentage, sand save percentage, putts per round, and scrambling) to assess and analyze golfers' relative efficiency. The results were as follows. First, there were significant differences of three outputs (driving distance, greens in regulation percentage, and sand save percentage). Second, Vijay Singh and Thomas Levet reached the overall efficiency score 1.0. Third, 23 golfers accomplished technical efficiency score 1.0. Fourth, return to scale analysis provided Vijay Singh and Thomas Levet to CRS, and others to DRS. Fifth, slack variable analysis acquired reasonable efficiency and improvement suggestions for inefficiency golfers. Sixth, a professional golfers' assessment model was established according to the scores of OE, TE and peer set of eight items of input and output. The results proved DEA one of the Multi-Objective Decision Making (MODM) could evaluate the performance of professional golfers as efficiently as other efficiency assessment tools.