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2017 AFC U-19 Championships Ladies’ Team Quarter-final Team Offensive Characteristics Of The Study

Posted on:2019-02-16Degree:MasterType:Thesis
Country:ChinaCandidate:S LuFull Text:PDF
GTID:2417330545463604Subject:Sports training
Abstract/Summary:
The 2017 AFC U-19 Ladies’ Football Championship,the Japanese ladies’ football 1-0 victory over the Korean ladies’ football ended,the Chinese team won the third runner-up in three or four finals Australia,also directly won the 2018 France U-20 Ladies’ World Cup Tickets.Although the Chinese ladies’ football team entered the top three,they also lost to the Japan team and the DPR Korea team respectively in the group stage and the knockout stage,reflecting the gap between themselves and the highest level of Asian ladies’ football,especially the offensive and technical tactics.The main research methods in this paper are video observation,literature and data analysis,logic analysis,field investigation,comparative analysis,and mathematical statistics,etc.The on-site observation of the 16 matches of the 2017 AFC U-19 Ladies’ Football Championship was conducted.After the video observation and data collection,the analysis and study of the offensive characteristics of the eight teams in the current competition,through the study,mainly reached the conclusion:(1)Each team has its own unique style.Although there are many similarities,the differences in offensive technical data reflect the differences in the style and style of each team;(2)Analysis of related data such as passing,positioning,shooting,scoring,etc.can reflect some commonalities and characteristics of each team.Attacking methods vary from team to team,but overall trends reflect the law of modern football development;(3)The Japanese ladies’ football team has won the championship with high-precision,low-error transfer,and advanced offensive game to control the game.This is also the development trend of the advanced level of the ladies’ football.
Keywords/Search Tags:Asian young ladies’ football, offensive characteristics, video analysis, data acquisition
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