基于机器学习的乒乓球混双技战术评估模型构建与应用
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摘要：
在运动项目技战术分析领域引入机器学习算法，以场胜负为标签，以各段与轮次的得分率与使用率构造的得分效率密度和全局得分能力两个新指标作为特征，使用机器学习模型中的随机森林模型、LightGBM模 型、XGBoost模型对乒乓球混双比赛28个技战术指标的特征重要性进行排序，提取了2个二级评价指标和8个三级评价指标。最后应用构造的评估模型对王楚钦/孙颖莎与林高远/王曼昱的2场混双决赛进行了技战术分析与评价，验证了机器学习方法构建的乒乓球技战术评估模型具有较高的实用性和准确性。
The machine learning model was innovatively introduced into the technical and tactical analysis of the mixed doubles project, and the score efficiency density and global scoring ability constructed by the scoring rate and utilization rate of each section and round were taken as the labels. The Random forest model, lightGBM model and XGBoost model in the machine learning model were used to rank the feature importance of 28 technical and tactical indicators in table tennis mixed doubles competition. In this paper, two second level evaluation indexes and eight three-level evaluation indexes of table tennis mixecd oubles competition were extracted. Finally, the constructed evaluation model was applied to the technical and tactical analysis and evaluation of the two mixed doubles finals of Wang Chugin/Sun Yingsha and Lin Gaoyuan/Wang Manyu, which verified that the table tennis technical and tactical evaluation model constructed by machine learning method has high practicability and accuracy.
作者：
曹烨程，张千轶，陈辉，刘敏
CaoYecheng，ZhangQianyi，ChenHui，LiuMin
机构地区：
山西大学体育学院，石家庄学院体育学院，温州医科大学体育科学部，重庆第二师范学院体育与健康管理学院
引用本文：
曹烨程，张千轶，陈辉等。基于机器学习的乒乓球混双技战术评估模型构建与应用 [J] . 学报(自然科学版) ,2025,53(3) : 149-156. (Cao Yecheng,Zhang Qianyi, Chen Hui, et al.Construction and application of table tennis mixed dual skill tactical evaluation model based on machine learning[J] . Journal of Henan Normal University(Natural Science Edition) ,2025,53(3) :149-156. DOI:10. 16366/j. cnki.1000-2367. 2024. 07. 10. 0002.)
基金：
国家自然科学基金；河北省体育局体育科技项目
关键词：
机器学习；乒乓球；技战术；评估模型
machine learning; table tennis; technique and tactic; evaluation model
分类号：
G846；TP181
