Yun Hyo-Jun, Jang Nara, Jeon Minsoo
Center for Sports and Performance Analysis, Korea National Sport University, Seoul, Republic of Korea.
Department of Physical Education, Korea National Sport University, Seoul, Republic of Korea.
BMC Sports Sci Med Rehabil. 2025 Apr 28;17(1):104. doi: 10.1186/s13102-025-01147-w.
This study aims to define and cluster tennis match types based on how they are played.
The research data selected for this study were from the 100th round of 32 matches of the five finals of the 2023 International Tennis Open Tournament. Based on expert knowledge and sports expertise, 27 variables were included across seven areas. Three models were applied and the silhouette coefficient was calculated to identify the optimal number of clusters. A difference test was conducted on the game record variables based on the cluster results.
Calculation of the silhouette coefficients for the three models showed that Model 3 (silhouette coefficient: 0.406) had the highest performance. The clustering results for the tennis match types are as follows. First, the NEt Rusher Defensive type, which is defensive and induces net play. Second, the ALl Courter Defensive type, which is either defensive or all-round. Third, the STroke Placement Offensive type, which is aggressive and has strengths in stroke. Fourth, the SErve Placement Offensive type, which is aggressive and has strengths in sub courses.
This study's findings are not only provide basic data to cluster game types in tennis matches but also to contribute to establishing game strategies for each game type, thereby further improving performance.
本研究旨在根据网球比赛的打法来定义和聚类比赛类型。
本研究选取的研究数据来自2023年国际网球公开赛五个决赛阶段32场比赛的第100轮。基于专业知识和体育专长，涵盖七个领域共纳入27个变量。应用了三种模型并计算轮廓系数以确定最佳聚类数。基于聚类结果对比赛记录变量进行差异检验。
三种模型的轮廓系数计算表明，模型3（轮廓系数：0.406）表现最佳。网球比赛类型的聚类结果如下。第一，网前突击防守型，具有防守性且倾向于网前打法。第二，全场防守型，要么是防守型要么是全面型。第三，击球落点进攻型，具有攻击性且在击球方面有优势。第四，发球落点进攻型，具有攻击性且在分项打法上有优势。
本研究结果不仅为网球比赛中聚类比赛类型提供了基础数据，还有助于为每种比赛类型制定比赛策略，从而进一步提高比赛表现。
