Exploring putting launch monitor data using the fsQCA method: A straight twelve-foot putt

Abstract

As technology advances, golf technologies, such as Quintic, are increasingly used to help golfers enhance their skills and build strength. However, despite the growing use of Quintic, studies related to Quintic in golf are still limited. Therefore, this study explores putting launch monitor results by employing a fuzzy-set qualitative comparative analysis (fsQCA) method. The study identified the causal relationships among putting performance variables based on the results of 52 golfers. All participants were adults, right-handed, and had a less than 12 handicap index. The assigned task was to complete a straight twelve-foot putt on artificial putting green without any slope. As a result, there was a solution with the significant effects of five variables: clubface angle at impact, clubhead path, low point, pre and post club acceleration on both outcome variables: the predicted position at twelve feet and the amount of skid. The findings highlight the use of technology in golf putting, offer putting instruction methods, and encourage the future scale development related to putting performance. Notably, the results provide practical solutions for aspiring professionals who are enrolled in professional golf management programs.