This study investigated how scores and statistics of amateur golfers changed when self-scramble (SC) was compared to normal play. Participants took two (SC2) to three (SC3) golf strokes each. Scores under these conditions were compared with those from normal round (NR) play to determine to what extent the scores and statistics would improve. Means, standard deviations, repeated measures one-way ANOVA, and a forward stepwise multiple regression analysis were performed for data analysis. The mean total score over nine holes by NR plays was 46.6 strokes, with a significant reduction of 7.7 strokes and 10.6 strokes under SC2 and SC3 conditions, respectively. Even when the three play conditions’ total scores decreased significantly for all subjects, the putt rate was around 38%, suggesting that the ratio of the number of putts per score did not change when play conditions changed. Stepwise multiple regression analysis for NR and SC2 using total score as the dependent variable and each statistic as the independent variables showed that greens in regulation (GIR) predicted 51.2% of the total score for NR; GIR and the One-Putt rate predicted 87.3% of the total score for SC2. These findings indicate that GIR is the most important factor for reducing non-professional golfers’ total scores. This study suggests that players gain experience in reducing their golf scores in a format that is similar to an actual game of golf.

中文翻译：

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通过比较业余高尔夫球手在重复争夺击球和一球条件下的统计数据，调查提高高尔夫球杆得分的因素

本研究调查了当自我争夺 (SC) 与正常比赛相比时，业余高尔夫球手的得分和统计数据如何变化。参与者每人进行两次 (SC2) 到三次 (SC3) 的高尔夫击球。将这些条件下的分数与正常回合 (NR) 比赛的分数进行比较，以确定分数和统计数据将提高到什么程度。均值、标准差、重复测量单向方差分析和正向逐步多元回归分析用于数据分析。NR 打九洞的平均总杆数为 46.6 杆，在 SC2 和 SC3 条件下分别显着减少了 7.7 杆和 10.6 杆。即使所有科目的三种比赛条件的总分都显着下降，推杆率也在38%左右，表明当比赛条件改变时，每分推杆数的比例没有变化。使用总分作为因变量，每个统计量作为自变量对 NR 和 SC2 进行逐步多元回归分析表明，调节中的果岭 (GIR) 预测了 NR 总分的 51.2%；GIR 和 One-Putt 率预测了 SC2 总分的 87.3%。这些发现表明，GIR 是降低非职业高尔夫球手总得分的最重要因素。这项研究表明，玩家可以通过与实际高尔夫比赛类似的方式获得降低高尔夫分数的经验。使用总分作为因变量，每个统计量作为自变量对 NR 和 SC2 进行逐步多元回归分析表明，调节中的果岭 (GIR) 预测了 NR 总分的 51.2%；GIR 和 One-Putt 率预测了 SC2 总分的 87.3%。这些发现表明，GIR 是降低非职业高尔夫球手总得分的最重要因素。这项研究表明，玩家可以通过与实际高尔夫比赛类似的方式获得降低高尔夫分数的经验。使用总分作为因变量，每个统计量作为自变量对 NR 和 SC2 进行逐步多元回归分析表明，调节中的果岭 (GIR) 预测了 NR 总分的 51.2%；GIR 和 One-Putt 率预测了 SC2 总分的 87.3%。这些发现表明，GIR 是降低非职业高尔夫球手总得分的最重要因素。这项研究表明，玩家可以通过与实际高尔夫比赛类似的方式获得降低高尔夫分数的经验。