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Research On Characteristics And Trends Of Running Performance Indicators Among Different Playing Positions In 2014 To 2018 China Super League Teams

Posted on:2021-01-23Degree:MasterType:Thesis
Country:ChinaCandidate:S F FengFull Text:PDF
GTID:2427330611490271Subject:Physical Education and Training
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With the continuous development of society and the improvement of people's living standards,football,which combines sports and leisure,has developed rapidly in China.The scientific analysis of games using big data is an important part of the development of modern football.Through statistical research on video data,it tries to find out the characteristics and trends that appear in football games,in order to seek a higher room for the development of Chinese football.The development of the local football league is the cornerstone of the national team's performance.In the league,physical fitness is the foundation of the player,and running ability is the most direct performance of the player's physical fitness.Therefore,to study the running characteristics and development trends of the league in recent years,there are It helps to guide and carry out corresponding physical training programs for athletes in different positions,which is of great significance to better promote the development of the league.In this paper,through the methods of literature data,video observation,mathematical statistics,etc.,the sprint distance and number of times of all the nine teams that have continuously participated in the five leagues of the 2014-2018 season of theSuper League and the AMISCO data report.Statistics and analysis of the five physical performance indicators of intensity running distance and number of times,total running distance,and research on the running characteristics and trend development of players in each match position in the 2014-2018 season,as well as the teams in these 5 seasons The characteristics and trends of running ability.Through single-factor analysis of variance,Bonferroni(B)method(with uniform variance)or Dunnett 's T3 method,general linear model,effect amount,etc.,to analyze and define indicators,the study draws the following conclusions:(1)The overall differences of players in each match position are:there are significant differences in the sprint distance,the number of sprint runs,the high-intensity run distance,the high-intensity run number,and the total run distance for the five game positions.(2)The difference in position in terms of intensity running distance is: forward and central midfielder and centre back,central midfielder and wide midfielder and full-back,wide midfielder and central midfielder and centre back,central midfielder and forward and full-back and wide midfielder,full-back and central midfielder and There is a very significant difference between the central defenders(P<0.01)and has has effect size(ES> 0.2).Between 2014 and 2018,the number of teams that increased their running distance was greater than the number of teams that decreased,and the number of consecutively increased teams was more than the number of consecutively reduced teams.(3)The position differences in the number of intensity runs are: forwards and center-backs,central midfielder and forwards and wide midfielder,wide midfielder and central midfielder and centre backs,central midfielder and forwards and wide midfielder and full-back,full-back and centre backs are very significant Sexual differences(P <0.01)have has effect size(ES> 0.2).The number of teams that increased and decreased in intensity runs from 2014 to 2018 is comparable.(4)The difference in position in terms of average running distance per game is mainly: forward and central midfielder and full-back and centre back,central midfielder and forward and centre back and full-back,wide midfielder and forward and centre back,central midfielder and forward and central midfielder There are very significant differences between wide midfielder and full-back,full-back,full-back and central midfielder and centre backs(P<0.01),which has effect size(ES> 0.2);the total running distance of each team has decreased,Has a continuous downward trend.(5)The intensity and distance of each player's running distance are as follows: the forward or wide midfielder is the largest,the wide midfielder is second only to the forward and the wide midfielder,the central midfielder is the second,and the central midfielder is the smallest;The central midfielderor wide midfielder is the largest,the forward and the wide midfielder are smaller than the central midfielder and the wing,and the central midfielder is the smallest.(6)The running trend is: the intensity of running distance and number of players(except the central defender)in each match position is increasing,and the total running distance of each match position is decreasing.((7)The team standings show a moderate negative correlation with the distance of high-strength running,the number of high-strength running,the distance of sprint running,and the number of sprint running(r >-0.8).In the 2014-2017 season There was no significant correlation(P> 0.05),but all showed significant correlations in the 2018 season(P <0.05).Each season has a strong effect size(ES> 0.8),which is very significant.The practical meaning is that the more the distance or number of times the team runs,the higher the team 's standings.(8)The team standings rank has a moderate positive correlation with the total running distance(except for the2015 season)(r <0.8),there is no significant correlation(P> 0.05),and each season has a strong The effect size(ES > 0.8)is very practical,that is,the less the total distance traveled,the higher the team 's standings.In short,there are differences in the running indicators(sprint distance,number of sprint runs,high-intensity run distance,high-intensity run,total distance)of players in each match position.The distance,the number of high-strength runs,the number of sprint runs,the higher the number of sprint runs,the higher the team's level,and the higher the ranking,the lower the total running distance.
Keywords/Search Tags:Chinese Super League, each competition position, running, characteristics, trend, season
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