The Cognitive Implications of 4th Place in the Tokyo Olympics: Focusing on Baseball and Women's Volleyball

2021 ◽  
Vol 10 (6) ◽  
pp. 127-143
Author(s):  
Heon-Su Gwon
Keyword(s):  
Women's Volleyball

scholarly journals Rethinking Monolithic Pathways to Success and Talent Identification: The Case of the Women's Japanese Volleyball Team and Why Height is Not Everything

2018 ◽  
Vol 64 (1) ◽  
pp. 233-245 ◽  
Author(s):  
Jorge Vargas ◽  
Manuel Loureiro ◽  
Pantelis T. Nikolaidis ◽  
Beat Knechtle ◽  
Lorenzo Laporta ◽  
...  
Keyword(s):  
The Other ◽  
Performance Models ◽  
Large Magnitude ◽  
Talent Identification ◽  
Core Feature ◽  
Women's Volleyball

Abstract The aim of the present study was to analyse the Japanese National Women’s Volleyball Team and to identify items differentiating it from other teams. All fifteen matches between the six National Teams (i.e., Japan, Brazil, China, Belgium, Turkey and Russia) competing at the Women’s Volleyball World Grand Prix Finals of 2014 were analyzed, in a total of 56 sets and 7,176 situations of ball possession. Data suggested the existence of differences between Japan’s and the other five teams’ gameplay, namely the likelihood of more gameplay with utilization of the float jump serve (20.42; ± 3.79%, very large magnitude) and attack tempo 2 (61.89; ± 29.67%, large magnitude), while exhibiting less gameplay with zero blockers opposing the attack (-42.06; ± 21.28%, large magnitude). Based on these findings, it was concluded that sports success could be achieved even when a core feature of mainstream performance models (e.g., height in volleyball) was lacking.

The contribution of skills in the interpretation of a volleyball set result with minimum score difference across genders

2020 ◽  
Vol 15 (4) ◽  
pp. 542-551
Author(s):  
Sotirios Drikos ◽  
Konstantinos Sotiropoulos ◽  
Karolina Barzouka ◽  
Yannis Angelonidis
Keyword(s):  
Discriminant Analysis ◽  
Discriminant Function ◽  
Performance Indicators ◽  
Performance Indicator ◽  
Ordinal Scale ◽  
Men And Women ◽  
Score Difference ◽  
Minimum Score ◽  
Women's Volleyball

The aim of the present study was to identify volleyball skills that best discriminate between winning and losing in a set with the minimum score difference of men’s and women’s volleyball. The data have been collected for men from 140 and for women from 98 teams’ performances in all sets finished with 2 points difference between the top four teams in the final ranking during the men’s and women’s Greek Volleyball League for five seasons (2013–2014 until 2017–2018). The primary recorded and evaluated skills from 119 sets for men and women respectively are: 3422 and 2419 serves, 2916 and 2120 passes, 2566 and 1656 attacks after serve’s pass, 1518 and 1804 counter-attacks (after defense) and 1595 and 818 blocks. For the evaluation scale of each skill, a six-level ordinal scale was employed, with the value of “one” indicating a poorly executed skill and the value of “six” an excellent executed skill. The analysis revealed significant multivariate differences in gender and in the type of result and not in their interaction. A follow-up discriminant analysis showed that attack 1 is the most important performance indicator for male teams. Meanwhile, for female teams, the most important performance indicators are winning attack after serve’s pass but also counter-attack. The discriminant function classified correctly 67% and 58%, for men and women respectively, allowing space for further improving the critical performance indicators for both genders.

scholarly journals Data-Based Interval Hitting Program for Female College Volleyball Players

2009 ◽  
Vol 1 (6) ◽  
pp. 522-530 ◽  
Author(s):  
Wendy Hurd ◽  
Airelle Hunter-Giordano ◽  
Michael Axe ◽  
Lynn Snyder-Mackler
Keyword(s):  
Division I ◽  
Return To Play ◽  
Female College ◽  
Sports Programs ◽  
Volleyball Players ◽  
Women's Volleyball

Context: Interval sports programs are a critical rehabilitation element when preparing the injured athlete for a return to preinjury activities. There is currently no published interval hitting program to guide a return to unrestricted play for the volleyball athlete. Therefore, data-based, position-specific overhead hitting programs that control for intensity, time, and number of ball strikes were developed for female college volleyball players. Evidence Acquisition: Records from a single Division I varsity women’s volleyball team were examined for all matches during 7 consecutive years of team play. Data were collected for number of hitting and service attempts per game for each position and the number of games per match. Results: Per game, middle hitters averaged 4.51 attacks and 2.77 service attempts; right-side hitters, 3.58 attacks and 1.26 service attempts; outside hitters, 6.37 attacks and 3.44 service attempts; and setters and defensive specialists, 0.17 attacks and 1.78 service attempts. Conclusion: The interval hitting program can provide rehabilitation specialists with a data-based approach that may facilitate a return to play and minimize the risk of reinjury for volleyball athletes.

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