With the development of computer science and technology, the analysis of techniques and tactics of ball games is developing in three dimensions. First, the visualization technology is being employed in game analysis. The application of computer multimedia technology, especially the application of video analysis system in the analysis of the characteristics of techniques and tactics (SIMI Scout, Dartfish, utilius®VS), has improved the understanding of the coaches and players about the technical and tactical characteristics of the opponents. (Zhang & Li, 2004; Zhao & Zhang, 2005; Zhang, 2006; Dai & Zhang 2008). Secondly, modern scientific computations are increasingly used in the diagnostic analysis of ball games, such as the diagnostics through mathematic simulations of ball games (Lames, 1989, 1994, 1997; Zhang & Hohmann, 2004, 2006), the diagnostic models for techniques and tactics based on Artificial Neural Networks (Perl, 2002; Wang & Zhang, 2005, 2007; Xiao, Wu and Zhang, 2008), and the game analysis based on data mining technology (Schoeman, 2006; Osama, 2006, Gao & Zhao, 2006; Zhao, Yu and Zhang, 2008; Meng, Ling and Zhang, 2008; Wu, Li and Dai, 2008). Thirdly, with more and more researches conducted in game analysis, people are beginning to be aware of the many factors which are likely to influence the performance of the players in ball games. Besides the techniques and tactics, the psychology, physical conditioning and game environments may also have certain influences on the game results. Hence the systemic integration research is beginning to be applied to game analysis, evaluations and prediction, a case in point is the analysis of table tennis matches with system dynamics or decision support system (Yu, Zhang, Ling and Meng, 2008). This paper serves as an introduction to the research findings of Professor Yu and her research team in table tennis program.
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