中国体育科技
中國體育科技
중국체육과기
China Sport Science and Technology
2014年
1期
57~62
,共null页
动态过程研究方法 手球 比赛 进攻表现
動態過程研究方法 手毬 比賽 進攻錶現
동태과정연구방법 수구 비새 진공표현
research methods based on dynamic process handball match offensive perform-ance
动态过程方法是在大量战术记录的基础上,按照时间顺序和行为,分析比赛中团队的行为及行为产生的环境,建立技、战术模型。根据比赛行动的目的以评估比赛行为发生的概率,探索导致成功的顺序行为模式。采用录像分析、动态研究、数理统计等方法对2010年亚运会手球比赛决赛阶段的7场比赛84名运动员的比赛进攻表现进行研究。研究结果表明:手球比赛进攻程序由获得球、处理球和进攻完成3个环节构成。获得球的技术应用有3%在强防守环境下,9%在中等防守环境,87%是在弱防守环境下;处理球技术在防守强、中、弱的环境下分别应用的比例为2%、12%、82%;在进攻完成环节,在强、中、弱3种防守环境下射门得分的比率分别为10%、28%、49%。手球比赛的组织效率系数为0.11,双方创造机会能力系数为0.09,比赛进攻威胁性指标的系数为0.88,得分系数为0.48。手球比赛的得分路径由接控球与控制性传球、组织性传球、助攻性传球形成。射门机会路径由接控球与传球的3个指标、运球形成传球与射门组成。进攻完成环节的技术指标对比赛失利的预测率较高,而处理球环节的技术对比赛获胜的预测率较高。
動態過程方法是在大量戰術記錄的基礎上,按照時間順序和行為,分析比賽中糰隊的行為及行為產生的環境,建立技、戰術模型。根據比賽行動的目的以評估比賽行為髮生的概率,探索導緻成功的順序行為模式。採用錄像分析、動態研究、數理統計等方法對2010年亞運會手毬比賽決賽階段的7場比賽84名運動員的比賽進攻錶現進行研究。研究結果錶明:手毬比賽進攻程序由穫得毬、處理毬和進攻完成3箇環節構成。穫得毬的技術應用有3%在彊防守環境下,9%在中等防守環境,87%是在弱防守環境下;處理毬技術在防守彊、中、弱的環境下分彆應用的比例為2%、12%、82%;在進攻完成環節,在彊、中、弱3種防守環境下射門得分的比率分彆為10%、28%、49%。手毬比賽的組織效率繫數為0.11,雙方創造機會能力繫數為0.09,比賽進攻威脅性指標的繫數為0.88,得分繫數為0.48。手毬比賽的得分路徑由接控毬與控製性傳毬、組織性傳毬、助攻性傳毬形成。射門機會路徑由接控毬與傳毬的3箇指標、運毬形成傳毬與射門組成。進攻完成環節的技術指標對比賽失利的預測率較高,而處理毬環節的技術對比賽穫勝的預測率較高。
동태과정방법시재대량전술기록적기출상,안조시간순서화행위,분석비새중단대적행위급행위산생적배경,건립기、전술모형。근거비새행동적목적이평고비새행위발생적개솔,탐색도치성공적순서행위모식。채용록상분석、동태연구、수리통계등방법대2010년아운회수구비새결새계단적7장비새84명운동원적비새진공표현진행연구。연구결과표명:수구비새진공정서유획득구、처리구화진공완성3개배절구성。획득구적기술응용유3%재강방수배경하,9%재중등방수배경,87%시재약방수배경하;처리구기술재방수강、중、약적배경하분별응용적비례위2%、12%、82%;재진공완성배절,재강、중、약3충방수배경하사문득분적비솔분별위10%、28%、49%。수구비새적조직효솔계수위0.11,쌍방창조궤회능력계수위0.09,비새진공위협성지표적계수위0.88,득분계수위0.48。수구비새적득분로경유접공구여공제성전구、조직성전구、조공성전구형성。사문궤회로경유접공구여전구적3개지표、운구형성전구여사문조성。진공완성배절적기술지표대비새실리적예측솔교고,이처리구배절적기술대비새획성적예측솔교고。
The dynamic method based on a large number of the tactical record in chronological order and behavior is establishment of tactics model through analyzing the behavior of team and environment in the game. The dynamic method can assess the probability of occurrence of game behavior to explore patterns of behavior that leads to success. This paper, using the video anal- ysis method, dynamic research methods and mathematical statistics, studies offensive perform- ance of 84 handball athletes in finals seven handball matches of 2010 Asian Games. The results showed that handball match offensive program consists of getting the ball, handling the ball and completing offensive. 3% technology applications of getting the ball is in strong defense environment, 9% is in moderate defense environment, 87% is under the weak defense. Ball- handling technology in the defense strong, medium and weak environments is percentage of 2 %, 12 %, 82 %. The ratio of field goals of the offensive completion under strong, moderate, weak defense is 10%, 28%, 49%. The coefficient of organizational efficiency, the ability of both to create opportunities, offensive threat and filed goals respectively is 0.11,0. 09,0. 88, and 0.48. The scoring path of handball match consists of passing ball, controlling ball and or- ganizing ball. The chance of shooting path consists of dribbling ball, passing ball and shooting ball. The technical indicators of offensive completion to defeat of the match can get higher ac- curacy, while the technical aspects of handing the ball to the gaming-winning can get higher ac- curacy.