Attack Performance Model Analysis: Outside Spiker of the Champion Women's Team in Volleyball Nations League 2022

Q3 Engineering
Keerati Santi, K. Rangubhet
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引用次数: 0

Abstract

This research is an analysis of the attack performance model for the Volleyball Nations League 2022. The VNL 2022 match tape, women's team type, all 15 matches, 54 sets, 5,484 data points, divided into data on receiving skills (1,371 data points), setting skills (1,371 data points), attack skills (1,371 data points), and attack results (1,371 data points) are examples. Then, do a statistical analysis of the data by processing it and finding the average (M) and standard deviation (S.D.). Data analysis and statistics Calculate averages and standard deviations using data from performance analysis to obtain statistical data. Compare the average to an independent sample t-test. The results of the research showed that: 1) Reception and Digging Skill; Typing Ability; Normal There was no difference at the statistically significant level of 0.05. 2). Set skill, type excellence, and effect at the statistically significant level of 0.05. 3). Attack: Hit, Set, Tip, Push, and Hook of both the champion and opponent teams, there was no difference at the statistically significant level of 0.05. 4). In the attack skill section, enter Under and Spin. There is a 0.05 statistical difference. 5). For attack result types: out, net, block, and free, between the champion and opposing teams, there is a statistical difference of 0.05. In the attack result section, enter “block in,” “effect,” “block touch,” “win,” and “touch out.” There was no difference at the statistically significant level of 0.05. Attack Style Type Comparison between the Champion Team and the Opponent Team, there was no difference at the statistically significant level of 0.05.
进攻表现模型分析:2022年国家排球联赛女队冠军外线主攻手
本研究是对2022年排球国际联赛进攻表现模型的分析。2022年VNL比赛录像带,女队类型,全部15场比赛,54局,5484个数据点,分为接球技术(1371个数据点)、发球技术(1371个数据点)、进攻技术(1371个数据点)、进攻结果(1371个数据点)等数据为例。然后,通过处理数据并找到平均值(M)和标准差(sd),对数据进行统计分析。数据分析和统计利用性能分析的数据计算平均值和标准差,得到统计数据。将平均值与独立样本t检验进行比较。研究结果表明:1)接收和挖掘技能;打字能力;两组比较,差异无统计学意义(0.05)。2). Set skill、type excellence、effect在0.05的统计学显著水平上。3)攻击:冠军与对手的Hit、Set、Tip、Push、Hook,差异均无统计学意义(0.05)。4).在攻击技能部分,输入Under和Spin。统计学差异为0.05。5)进攻结果类型:出界、净网、封盖、自由,冠军与对手之间的统计差异为0.05。在攻击结果部分,输入“阻挡”、“效果”、“阻挡触碰”、“获胜”和“触碰出局”。差异无统计学意义(0.05)。冠军队与对手队的进攻风格类型比较,差异无统计学意义(0.05)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Transactions on Electrical Engineering, Electronics, and Communications
Transactions on Electrical Engineering, Electronics, and Communications Engineering-Electrical and Electronic Engineering
CiteScore
1.60
自引率
0.00%
发文量
45
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