A Multi-dimensional Analytical System of Table Tennis Matches

  • Zheng Zhou
  • Hui ZhangEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1028)


This paper takes 47 technical and tactical indices of 7 categories of table tennis matches, including stroke placements, stroke techniques, stroke positions, game actions, stroke effects, stroke spins and stroke results to construct a multi-dimensional analytical system with data mining algorithm. On this basis, 10 matches between Japanese female player ITO Mima and Chinese players are analyzed systematically. The results show that: (1) The collection system has three main functions, including video monitoring, video editing, technical and tactical information editing; (2) Match data, videos and tactical graphics provided by the analytical system can help players and coaches understand tactics more quickly and meticulously; (3) The effective tactics of ITO Mima are more diverse and aggressive in the receive round; and the main tactic of her is serving the ball to short, and striking with topspin in backhand initiatively (serve round), while in the receive round, attack and topspin in backhand are most obvious technical and tactical features; (4) The application of data mining and modeling in game analysis can reduce the judgment error by human, and make the results more objective and accurate.


Table tennis Multi-dimensional analysis Elite players 


  1. Fuchs, M., Liu, R., Lanzoni, I.M., Munivrana, G., Straub, G., Tamaki, S., et al.: Table tennis match analysis: a review. J. Sport. Sci. 36(23), 2653–2662 (2018)CrossRefGoogle Scholar
  2. Tang, J., Cao, H., Deng, Y.: The formation and application of tactic combination model in the table tennis competition. J. Beijing Sport. Univ. 33(11), 108–110 (2010)Google Scholar
  3. Robson, C.: Real World Research, 2nd edn. Blackwell, Oxford (2002)Google Scholar
  4. Wu, H., Li, Z., Tao, Z., Ding, W., Zhou, J.: Methods of actual strength evaluation and technical diagnosis in table tennis match. J. Natl. Res. Inst. Sport. Sci. 1, 32–41 (1989)Google Scholar
  5. Yang, Q., Zhang, H.: Application of BP neural network and multiple regression in table tennis technical and tactical ability analysis. J. Chengdu Sport. Univ. 42(1), 78–82 (2016)MathSciNetGoogle Scholar
  6. Zhang, H., Yu, L., Hu, J.: Computer-aided game analysis of net sports in preparation of Chinese teams for Beijing Olympics. Int. J. Comput. Sci. Sport. 9(3), 53–69 (2010)Google Scholar
  7. Zhang, H., Zhou, Z.: An analytical model of the two basic situation strategies in table tennis. Int. J. Perform. Anal. Sport. 17(6), 970–985 (2017)CrossRefGoogle Scholar
  8. Zhang, H., Zhou, Z., Yang, Q.: Match analyses of table tennis in China: a systematic review. J. Sport. Sci. 36(23), 2663–2674 (2018)CrossRefGoogle Scholar

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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Sport Science, College of EducationZhejiang UniversityHangzhouChina

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