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65 1 2 3 4 5 Characteristics of world-class rally in table tennis: Focusing on the number of shots played per rally Kazuto Yoshida 1 Koshi Yamada 2 Sho Tamaki 3 Hisashi Naito 4 and Masaru Kaga 5 Abstract A notational analysis of 12,428 rallies in 149 singles matches at the London Olympic Games was conducted to clarify the characteristics of world-class rallies in table tennis. The number of shots played per rally, which was the sum of a correct service and correct returns, was measured. And the winning ratios of server and receiver were determined by the number of shots played per rally (Odd numbers indicate the server won the point, even numbers indicate the receiver won the point). The playing styles of the players were classified into all-round types and defensive types (chopper type), and the types of matches were classified into 3 by the combination of playing styles as: all-rounder vs. all-rounder (AA type), all-rounder vs. defensive (AD type) and defensive vs. defensive (DD type). The numbers of shots and the two ratios, and relations to both gender and type of match were considered. The DD type was excluded from this analysis because there were too few measured data. As a result, the mode of the number of shots for men and women was 3 each. The maximums for men and women were 38 and 60, respectively. The minimum for men and women were 0 each. The mean number of shots for women was significantly larger than that for men for AD type (p<0.01), and that for AD type was significantly larger than that for AA type for both men (p<0.01) and women (p<0.001). The mean winning ratios for servers for both men and women for AA type and AD type were all at the same level at about 55, which were significantly higher than those for receivers of about 45 (p<0.01). Additionally, the evaluation criteria for the mean number of shots in a match, and those for the winning ratios of a server and a receiver were proposed. It was suggested that these results could be valuable for table tennis coaching. Key words: table tennis, London Olympic Games, number of shots played per rally, winning ratios of server and receiver, evaluation criteria, coaching 1 1 2 1 3 1 Faculty of Education, Shizuoka University 2 NPO Table Tennis Friendship Club 3 Graduate School of Science and Technology, Keio University 4 Graduate School of Health and Sports Science, Juntendo University 5 Graduate School of Education, Okayama University

66 28 1 65 74 26 11 1 1 2 2 1 2012 1 Yuza et al. 1996 1 1 Malagoli Lanzoni et al., 2014 Tamaki et al., 2011 Zhang et al., 2010, 2014Tamaki et al. 2011 2013 Takeuchi et al., 2002; 1991 2009 2012 2009 11 12 149 76 73 1 214 69.6 149 12,44921 12,428 6,3936,035 117 60 57

67 1 20.0 0 0 1 4 25.0 6 37.5 2 5 31.3 4 25.0 32 15 93.8 16 100 16 8 100 14 73.7 8 100 15 83.3 4 100 12 100 4 100 8 100 2 100 4 80.0 2 100 4 100 3 1 100 3 100 1 100 2 100 1 100 2 100 1 100 2 100 41 64.1 35 85.4 42 65.6 31 91.1 76 69.1 73 70.2 149 69.6 3 2 4 2 Takeuchi et al. 4 2002 1991 1982 55 5 4710 2 2 1 AA2 AD 3 DD 3 AA66 AD 9 DD 1 AA 48 AD24 DD 1 2 3 2 1 3 2 1 2012

68 28 1 65 74 26 11 3 2 2 1 2 Hughes and Bartlett, 2002 1 Levene t t t Levene t t 100 AA AD Pearson 1 1 5 Mean 1.5SD Mean 0.5SD Mean 1.5SD 5 0 1 2 3 3 3 4 4 4 5 5 5 6 6 6 7 1

69 Holm SPSS ver19.0 for Windows SPSS Inc., Chicago, IL DD 1 DD DD AAAD 1 3 3860 0 2 309.4, df 15, p<0.001 1 4 7 4 AA AD AD p<0.001 AD p<0.01aa p>0.05aa AD AD p<0.01 p<0.001 5 AA AD 55 45 p< 0.001p<0.01 AA AD p>0.05 AA 25 20 15 10 5 0 N=6,393 N=6,035 5 10 15 20 25 P < 0.001 2 =309.4, df=15 P<0.05 [Holm]

70 28 1 65 74 26 11 P-value_1 P-value_2 AA AD DD 76 4.4 0.9 4.2 7.2 3.2 73 5.6 2.6 4.6 17.6 2.8 66 4.1 0.6 0.356 4.1 5.7 3.2 48 4.3 0.8 4.1 7.0 2.8 9 5.8 1.2 6.1 7.2 4.3 24 7.9 2.0 7.7 12.0 4.9 1 6.5 1 17.6 P value_1 vs. t P value_2 AA vs. AD t P-value_1 P-value_2 P-value_3 AA AD DD 152 54.8 11.4 0.913 55.1 85.3 20.7 45.2 11.4 44.9 79.3 14.7 146 54.6 12.2 55.0 84.8 27.3 45.4 12.2 45.0 72.7 15.2 132 54.9 11.8 0.883 0.774 55.6 85.3 20.7 45.1 11.8 44.4 79.3 14.7 96 55.1 12.4 0.483 55.6 84.8 28.6 44.9 12.4 44.4 71.4 15.2 18 54.2 8.3 0.838 51.8 68.4 41.7 45.8 8.3 48.2 58.3 31.6 48 53.6 12.2 54.0 80.0 27.3 46.4 12.2 46.0 72.7 20.0 2 52.6 11.5 52.6 60.7 44.4 47.4 11.5 47.4 55.6 39.3 2 55.6 7.9 55.6 61.1 50.0 44.4 7.9 44.4 50.0 38.9 2 P value_1 vs. t P value_2 vs. [t] P value_3 AA vs. AD t AD p>0.05 2 AA AD 2 p>0.05 AAAD 6 7 5 AA 1 AD 2 AAAD 3 6 AAAD AAAD 1 7

71 100 80 60 40 20 0 0 20 40 60 80 100 AA vsw) AD vsw) DD vsw) AA vsw) AD vsw) DD vsw) AA AD 3.2 3.2 3.8 3.8 4.4 4.4 5.0 5.0 3.1 3.1 3.9 3.9 4.7 4.7 5.5 5.5 4.0 4.0 5.2 5.2 6.4 6.4 7.6 7.6 4.9 4.9 6.9 6.9 8.9 8.9 10.9 10.9 AA AD 37.2 37.2 49.0 49.0 60.8 60.8 72.6 72.6 27.4 27.4 39.2 39.2 51.0 51.0 62.8 62.8 36.5 36.5 48.9 48.9 61.3 61.3 73.7 73.7 26.3 26.3 38.7 38.7 51.1 51.1 63.5 63.5 41.8 41.8 50.1 50.1 58.4 58.4 66.7 66.7 33.4 33.4 41.7 41.7 50.0 50.0 58.3 58.3 35.3 35.3 47.5 47.5 59.7 59.7 71.9 71.9 28.1 28.1 40.3 40.3 52.5 52.5 64.7 64.7

72 28 1 65 74 26 11 3 1 149 101 67.8 3 1 1 4 7 6,393 70 1.1 6,035 70 1.2 1 3 3,315 51.9 4 50 4 3,244 53.8 5 50 10099 2002 3 4 AA AD 4 AD AA 4 AD 9 11.8 24 32.9 AD AA AD AA AD 5545 5 DD 2012 AA AD 2 2

73 6 7 2 AA AD 4 5 3 1 1 1 3 2 2 2013 2014 1 3

74 28 1 65 74 26 11 2 2 3 1 1 2 3 24 24 26 24650384 1 2 3 2 4 Takeuchi et. al. 2002 Hughes, M., and Bartlett, R. (2002) The use of performance indicators in performance analysis. Journal of Sports Sciences, 20 (10) : 739 754. Malagoli Lanzoni, I., Di Michele, R., and Merni, F. (2014) A notational analysis of shot characteristics in top-level table tennis players. European Journal of Sport Science, 14 4) : 309 317. 2012 2012 pp.13 15. 2012 p.220. 2012 9 JISS 20. Takeuchi, T., Kobayashi, Y., Hiruta, S., and Yuza, N. (2002) The effect of the 40mm diameter ball on table tennis rallies by elite players. Table Tennis Science, 4&5 : 267 277. Tamaki, S., Yoshida, K., Kasahara T., and Miyaji, C. (2011) Development of a Tactical Analysis Application for Table Tennis. Proceedings of the 8th International Symposium on Computer Science in Sport : 102 105. 1991 DLT 11 291 102. 2002 p.26. 2009 B 19 20 32 37. 2013 10 JISS 14 15. 1982 Japanese Journal of Sports Sciences, 1 (6) : 502 511. Yuza, N., Suzuyama, K., Hao, S., Takeuchi, T., and Ono, W. (1996) Physiological approach to measuring the degree of excitement of spectators. International Journal of Table Tennis Sciences, 3 : 155 160. Zhang, H., Yu, L., and Hu, J. (2010) Computer-aided Game Analysis of Net Sports in Preparation of Chinese Teams for Beijing Olympics. International Journal of Computer Science in Sport, 9 (3) : 53 69. Zhang, H., Liu, W., Hu, J., and Liu, R. (2014) Evaluation of elite table tennis players technique effectiveness. Journal of Sports Sciences, 32 (1) : 70 77. 2014 27 2149 161.