Application of Data Mining in Offensive Tactical Research of Tennis Match

Abstract

With the continuous development and growth of information technology and data scale, data mining technology has gradually matured and applied in various fields. With the continuous improvement in sports information level, the sports data are also increasing. It is the general trend to use data mining technology in the field of sports data analysis. In this article, data mining technology is used in the research of offensive tactical data of tennis, which aims to provide scientific data support for tactical decision-making in tennis training and competition and improve the winning rate of tennis competition. Firstly, based on the requirement analysis, the goal and structure framework of the tennis tactical analysis system are determined. The main functions of the system include tactical data collection, tactical statistics, and tactical comprehensive analysis. Then, the data collection ability, speed, and tactical statistic function of the tennis tactical analysis system are tested. The accuracy rate of data collection for five common offensive tactics in 10 matches of the tennis tactical analysis system is 94.4%, 97.1%, 100%, 97.4%, and 96.3%, respectively. This shows that the tennis tactical analysis system developed in this article can accurately record the tactical data in the game in real time. After the test, the system is used to analyze the tactics used by a tennis player in 2015 and analyze the characteristics of various tactics of the serve round and receive round. The results show that W-C-C is the main tactic of the serve round in the singles match, with the utilization rate of 100% and the scoring rate of W-C-C-Q tactics of 100%; the most important landing area is the inner corner of the right area, with the distribution rate of 30% and the scoring rate of 73.33%. The tactics of receiving round are mainly C-C-C-C tactics, with the utilization rate of 66.67% and the scoring rates of C-C-C-C tactics and C-Q-C-C tactics are 100%; the most important landing area is the middle road, with the distribution rate of 41.67% and the scoring rate of 46.67%. To sum up, the application of data mining in the research of offensive tactics in tennis matches has high analysis efficiency and accuracy, which is worthy of promotion.