簡易檢索 / 詳目顯示

研究生: 許靜怡
Hsu, Ching-I
論文名稱: 籃球進攻時間規則修改對於攻守表現之影響-以SBL及WSBL為例
The Impact of the Modification of Basketball Offensive Time Rules on Offensive and Defensive Performance-Take SBL and WSBL as Examples
指導教授: 王傑賢
Wang, Jye-Shyan
口試委員: 吳聰敏
Wu, Tsong-Min
簡文政
Jane, Wen-Jhan
王傑賢
Wang, Jye-Shyan
口試日期: 2022/01/19
學位類別: 碩士
Master
系所名稱: 體育與運動科學系體育行政教師碩士在職專班
In-service Teacher Master's Program of Physical Education Administration
論文出版年: 2022
畢業學年度: 110
語文別: 中文
論文頁數: 92
中文關鍵詞: 籃球進攻時間規則修改
英文關鍵詞: Basketball, offensive time, rule modification, SBL, WSBL
研究方法: 主題分析
DOI URL: http://doi.org/10.6345/NTNU202200386
論文種類: 學術論文
相關次數: 點閱:91下載:19
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 本研究以進攻時間規則改變為主題,探討獲得進攻籃板後進攻時間由24秒減少為14秒之進攻時間規則修改,對於聯盟整體及球隊攻守數據所產生的影響,研究目的為探討進攻時間減少對於攻守表現的影響。研究對象為超級籃球聯賽(Super Basketball Leagu[SBL])及女子超級籃球聯賽(Women's Super Basketball League[WSBL]),樣本區間依2014年規則修改實施前後三年共六個球季,攻守數據,採計項目包含:兩分球、三分球與罰球之出手次數、命中次數及命中率、進攻籃板、防守籃板、總籃板、助攻、阻攻、抄截、失誤、犯規及總得分共18項。並採用球隊例行賽數據;透過官方網站所提供之攻守數據蒐集至Microsoft Excel進行統整,並採用SPSS23.0軟體進行分析統計,使用描述性統計、獨立樣本T檢定,並以α=.05為顯著水準進行統計考驗進行資料分析,以及Peaeson積差相關分析攻守數對於總得分之相關性差異,以進一步探討進攻時間規則修改後對於比賽所造成的影響。研究所得結論如下:
    一、規則修改後對於SBL及WSBL攻守數據表現產生影響,對於三分球出手數影響最為明顯,其次為助攻。
    二、規則修改後SBL及WSBL兩聯盟攻守數據改變趨勢除三分球出手數之外,其餘項目並無相似趨勢表現。
    三、攻守數據對與總得分的相關性結構產生改變,但SBL及WSBL兩聯盟與各隊皆不相同。
      基於上述研究結果,因三分球出手數提升,建議加強三分球訓練,以確保三分球出手的把握度及穩定性;又因助攻數下降,建議擬定進攻時間較短情況之進攻戰術;而針對未來研究,建議可納入球隊球員組成內容進行探討或是研究其他層級球賽數據,可更清楚了解台灣籃球在規則修改後的趨勢發展。

    This study takes the change of offensive time rule as the theme, discusses the offensive time rule modification that reduces the offensive time from 24 seconds to 14 seconds after obtaining offensive rebounds, and the impact on the overall league and team offensive and defensive data. The purpose of the study is to explore the reduction of offensive time. The impact on offensive and defensive performance. The study objects are the Super Basketball Leagu [SBL] and the Women's Super Basketball League [WSBL]. The sample interval is based on the 2014 rule revision for three years before and after the implementation of the six seasons. Offensive and defensive data is collected. The counting items include: two-pointers, three-pointers and free throw attempts, number of hits and percentage, offensive rebounds, defensive rebounds, total rebounds, assists, blockades, steals, turnovers, fouls and total points, etc. 18 items . The team’s regular game data is also used; the offensive and defensive data provided by the official website is collected into Microsoft Excel for integration, and SPSS23.0 software is used for analysis and statistics, using descriptive statistics, independent sample T test, and α=. 05 is a statistical test for the significant level for data analysis, and Peaeson's product difference correlation analysis of the correlation between offensive and defensive numbers and total scores, to further explore the impact of the revised offensive time rule on the game. The conclusions of the study are as follows:
    1. The revised rules will have an impact on the offensive and defensive performance of the Super Basketball League (SBL) and the Women's Super Basketball League (WSBL), with the most obvious impact on the number of three-pointers, followed by assists.
    2. The change trend of offensive and defensive data in the Super Basketball League (SBL) and Women's Super Basketball League (WSBL) after the rule changes Except for the number of three-pointers, the other items have no similar trend performance.
    3. The offensive and defensive data has changed the correlation structure with the total score, but the Super Basketball League (SBL) and Women's Super Basketball League (WSBL) are different from each team.
    Based on the above study results, due to the increase in the number of three-point shots, it is recommended to strengthen the three-point shot training to ensure the certainty and stability of the three-point shots; and due to the decrease in the number of assists, it is recommended to develop an offensive tactic with a shorter offensive time. ; And for future study, it is recommended to include the content of team player composition for discussion or to study other levels of ball game data, so as to have a clearer understanding of the trend and development of Taiwan basketball after the revised rules.

    第壹章 緒論 1 第一節 研究背景與動機 1 第二節 研究目的 2 第三節 研究問題 3 第四節 研究範圍 3 第五節 研究限制 3 第六節 研究重要性 4 第七節 名詞釋義 4 第貳章 文獻探討 6 第一節 籃球運動發展歷史及比賽時間規則演變 6 第二節 SBL及WSBL之發展歷程 10 第三節 各類運動規則修改之相關文獻 14 第四節 文獻總結 16 第參章 研究方法 18 第一節 研究架構 18 第二節 研究流程 20 第三節 研究對象 21 第四節 資料選取與分析方式 21 第肆章 結果與討論 23 第一節 SBL攻守數據之差異 23 第二節 WSBL攻守數據之差異 62 第三節 SBL與WSBL規則修改後攻守數據之比較 85 第四節 SBL與WSBL規則修改後相同攻守數據之分析 86 第伍章 結論與建議 89 第一節 結論 89 第二節 建議 90 參考文獻 91

    王子豪、劉有德(2019)。合球進攻時間與區域對投籃表現的影響。運動教練科學,(53),13-24。

    李騰達、塗相金(2009)。籃球規則的修改對籃球運動發展的影響。江西教育學院學報,30(6),35-37。
    桑茂森、李雲光、陳冠州(2005)。2000年籃球規則修改前、後對中廣戰神籃球隊比賽攻守記錄之差異性分析研究。北體學報,13,273-281。
    張伯坦、閻育東(1998)。籃球裁判必讀。北京市︰北京體育大學。
    張學坤(2013)。50公分的突破:三分線增長對籃球攻守表現的影響(碩士論文)。取自http://eds.b.ebscohost.com/eds/detail/detail?vid=1&sid=ff579d5d-c946-4029-8742-8685fc8a7932%40sessionmgr102&bdata=Jmxhbmc9emgtdHcmc2l0ZT1lZHMtbGl2ZQ%3d%3d#AN=ntnu.b2906564&db=cat01058a
    陳書瑋、鍾宇政(2012)。日本職棒比賽用球改變對選手錶現之影響。運動教練科學,(27),44-55。
    陳膺成、曾銀助、林忠程(2016)。近代籃球規則演變之精神與意涵。大專體育,(139),10-16。
    塗國誠(2007)。羽球新規則的實施對單打競賽時間結構及技術使用率的影響。體育學報,40(3),129-141
    葉良志(2010)。女子籃球規格改變對投籃動作之影響。運動研究,19(1), 23-33。
    鄭霞、潘志國(2012)。時間壓力與自我意識對籃球專項學生動作穩定性的影響。運動,(11),65-67。
    顏海波、王婷婷(2009)。2008, 2010年FIBA規則修訂對籃球運動的影響。體育學刊, 16(6), 91-93.
    Banerjee, A. N., Swinnen, J. F., & Weersink, A. (2007). Skating on thin ice: rule changes and team strategies in the NHL. Canadian Journal of Economics/Revue canadienne d'économique, 40(2), 493-514.
    Calmet, M., Pierantozzi, E., Sterkowicz, S., Challis, B., & Franchini, E. (2017). Rule change and Olympic judo scores, penalties and match duration. International Journal of Performance Analysis in Sport, 17(4), 458-465.
    Davis, P., Waldock, R., Connorton, A., Driver, S., & Anderson, S. (2018). Comparison of amateur boxing before and after the 2013 rules change and the impact on boxers’ safety. Br J Sports Med, 52(11), 741-746.
    FIBA (2020) .Official Basketball Rules 2020. from http://www.fiba.com
    Pérez-Ferreirós, A., Kalén, A., & Rey, E. (2018). Short-and mid-term effects of the 2010 rule changes on game-related statistics in European basketball championships: An interrupted time series analysis. International Journal of Sports Science & Coaching, 13(6), 1081-1089.
    Štrumbelj, E., Vračar, P., Robnik-Šikonja, M., Dežman, B., & Erčulj, F. (2013). A decade of euroleague basketball: An analysis of trends and recent rule change effects. Journal of human kinetics, 38, 183-189.
    Zuccolotto, P., Manisera, M., & Sandri, M. (2018). Big data analytics for modeling scoring probability in basketball: The effect of shooting under high-pressure conditions. International Journal of Sports Science & Coaching, 13(4), 569-589.

    下載圖示
    QR CODE