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以灰色關聯分析探討排球比賽得分因素與成績之關聯性

Using the Grey Relational Analysis to Explore the Relationship between Scoring Factors and Performance of Volleyball Competition

摘要


目的:本研究針對亞洲盃男子排球錦標賽所有參賽隊伍(八支參賽隊伍,名次依序爲:伊朗、南韓、中國、日本、澳洲、泰國、印尼、中華臺北)對戰場次(共計48場180局),探討排球隊所有對戰場次之四項得分因素(扣球得分、攔網得分、發球得分、對方失誤得分)對比賽勝率之關聯性。方法:運用灰色系統理論(grey system theory)之灰色關聯分析(grey relational analysis)方法,以比賽勝率爲參考函數、四項得分因素爲比較函數,求出四項得分因素與比賽勝率間之相關性。結果:一、在四項得分因素單局平均方面:(一)扣球得分:南韓隊13.42分最高、中國隊10.74分最低,中華臺北11.82分。(二)攔網得分:澳洲隊4.82分最高、泰國隊1.84分最低,中華臺北2.36分。(三)發球得分:南韓隊1.13分最高、印尼隊0.36分最低,中華臺北0.59分。(四)對方失誤得分:印尼隊6.64分最高、澳洲隊5.05分最低,中華臺北5.27分。二、四項得分因素與比賽勝率間之關聯度依序爲:扣球得分(r1=0.88)、對方失誤得分(r4=0.84)、攔網得分(r2=0.81)、發球得分(r3=0.72)。結論:中華臺北在此次賽事中,扣球得分、對方失誤得分、攔網得分與發球得分技術皆未能有效發揮,因此在未來備戰其他國際賽事之實務訓練中應積極全面強化各項技術,以期藉由技術水準增進,提升我國排球競技水準,進而爭取最佳成績。

關鍵字

排球 灰色關聯分析

並列摘要


Purpose: This study was to analyze the correlations of scoring factors (spike, block, serve and opponent error) and match results of all the matches of 8 teams (Iran, South-Korea, China, Japan, Australia, Thailand, Indonesia, Chinese Taipei) in 2008 Asian Men's Cup Volleyball Championship. Methods: The grey relational analysis was used to explore the relations of scoring factors and match results. The reference function as rates of winning and comparison function was factors of scoring find to the correlation between rates of winning and factors of scoring. Results: The results were as the following: (a) The highest score of spike was 13.42 by Korea team. (b) The highest score of blocking was 4.82 by Australia team. (c) The highest score of serving was 1.13 by Korea team. (d) The highest of score of the opponent error was 6.64 by Indonesia team. In addition, the correlative score between spiking and match result was 0.88, between blocking and match result was 0.81, between serving and match result was 0.72 and between opponent error and match result was 0.84. Conclusion: Chinese Taipei did not perform well enough in those scoring factors as spiking, blocking, serving and opponent error. The training should be emehasged in those skills to improve the match performance.

並列關鍵字

volleyball grey relational analysis

參考文獻


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吳茂昌()。

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Yang, T. C. (2022). Constructing a Team Performance Evaluation Model of FIVB Volleyball Women's World Cup. 大專體育學刊, 24(1), 32-44. https://doi.org/10.5297/ser.202203_24(1).0003
楊總成、郭國隆、李建毅、翁仲邦(2021)。2010-2021年國內排球技術表現科學研究之分析交大體育學刊(17),78-89。https://www.airitilibrary.com/Article/Detail?DocID=P20110824004-202112-202202240008-202202240008-78-89

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