Journal of Volleyball Sciences
Online ISSN : 2433-7277
Print ISSN : 1344-9524
Volume 2, Issue 1
Displaying 1-8 of 8 articles from this issue
Review Article
Original Article
  • Hiroshi GOTO
    2000 Volume 2 Issue 1 Pages 21-28
    Published: 2000
    Released on J-STAGE: August 11, 2021
    JOURNAL OPEN ACCESS
    The purposes of this study were to attempt classification of DIG according to the theory of tactical classification and to approach to volleyball game's analysis, compared with classification of pass and receive in the past. The samples were 15 games for women of Tokai Inter-collegiate Volleyball League in 1996. The results were summarized as follows: (1) In the all DIG (3,885), the case of pass were 284 (7.3%), controll dig were 1,469 (37.8%), dig were 1,488 (38.3%) and saving were 644 (16.6%). (2) The result of estimation of DIG suggested to clarified classification of DIG. (pass > usual pass>control dig>usual receive and dig>saving: p<0.001). (3) In the success rate of DIG, the case of pass were 4.73±0.72, control dig 4.30±0.83, dig 3.51±1.19 and saving 3.76±1.17. (4) The acquisition rate of rally was 13.4% in pass, 53.6% control dig and 30.6% dig.
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  • On women's college volleyball team
    Toshihiro YONEZAWA, Yuuji MATSUMOTO, Hisanobu TAWARA
    2000 Volume 2 Issue 1 Pages 29-35
    Published: 2000
    Released on J-STAGE: August 11, 2021
    JOURNAL OPEN ACCESS
    The purpose of this study was to predict victory or defeat in the volleyball game from the difference in scores between the teams. We observed 28 games, 92 sets of the 1999 Spring League Match among 8 Intercollegiate Women's Volleyball Teams in Zenkyusyu. Each set of a game was divided into the early stage (from 0 point to 8 point), the middle stage (from 10 point to 16 point) and the end stage (from 18 point to 22 point). The difference in scores between the teams was caluculated for each stage of a set. And the regression coefficient between the score differences and the percentages of winning the set was calculated. The major results of this study were as follows: 1 It was possible to predict winning a set or not from the score difference between the teams because there was a significant correlation between the score and the winning rate. 2 The winning rate became more than 70% when the team led the opponent team by 3 points in the early stage. Then the winning rate became 0% when the team was 6 points or more behind the opponent team. 3 The winning rate became more than 90% when the team led the opponent team by 4 points in the middle stage. Then the winning rate became 0% when the team was 6 points or more behind the opponent team, 4 The winning rate became 90% or more when the team led the opponent team by 2 points in the end stage.
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Research Material
  • 14th World Volleyball Men's Championship's (Final, 1998), Italy and Yugoslavia Team's Analysis
    Daisen SHIMAZU, Kyooichi IZUMIKAWA, Sotonori YAMAMOTO, Masakazu AKASHI ...
    2000 Volume 2 Issue 1 Pages 36-47
    Published: 2000
    Released on J-STAGE: August 11, 2021
    JOURNAL OPEN ACCESS
    A game analysis was made of a Italy versus Yugoslavia match in the 14th Men's World Volleyball Championships (November 1998). Through the analysis, it was found that there was a positive or negative significant correlayion, at the level of 0.1% or 1%, in the subject match(by in court serve), between the net score(Michael R. Hebert system) and the point rate of one team, and the net score and point rate of the other team, and between the net score and the side-out success rate of one team, and the net score and side-out success rate of the other team. No great difference was observed in terms of the above stated correlation between the two teams. This means that the correlation will be utilized in the author's analysis and research activities in the future. But there was no significant correlayion in the subject match(by all court serve, two items), and set a task to ours. We analyzed that point rate and side-out success rate in one or several rotation phases, points and side-out successes in front row or back row, contributive rate of individual player's points or side-out successes, back spike rate of individual player's points or side-out successes, determinative positions of individual player's spike or block. Based on the above findings, characteristics of the remaining rotation phases were grasped. The author believes that this analysis can be used to analyze games of volleyball matches.
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