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基于新型数学模型的国际足联2018年俄罗斯世界杯运动员跑动特征研究
引用本文:刘鸿优,王垒,黄国虎,张恒亮,毛万丽.基于新型数学模型的国际足联2018年俄罗斯世界杯运动员跑动特征研究[J].体育科研,2019(4):10-16.
作者姓名:刘鸿优  王垒  黄国虎  张恒亮  毛万丽
作者单位:华南师范大学 体育科学学院;华南师范大学 运动科学国家级实验教学示范中心
基金项目:广东省普通高校青年创新人才项目(2016WQNCX015),华南师范大学青年教师科研培育基金项目(16SK07)
摘    要:采取数据级数推断与广义混合线性模型的统计方法,对2018年俄罗斯世界杯正赛阶段381名非门将位置足球运动员在829次打满全场的比赛中的跑动特征进行量化分析。结果显示:(1)在本届世界杯中,所有外场球员场均跑动距离(9 872±956) m,其中,高强度跑动(速度>20 km/h)距离约占7.2%,场均高强度跑动次数(31±11)次;(2)中场球员的场均跑动距离最多(10 608±759) m,其次是前锋球员(9 622±900) m,最少的是后卫球员(9 484±807) m,其中,前锋球员完成最多的冲刺跑动速度>25 km/h,(259±113) m]和慢跑速度<7 km/h,(3 827±324) m],中场球员完成最多的是低速跑速度7~15 km/h,(4 705±685) m]和中速跑速度15~20 km/h,(1 596±333) m];(3)本届世界杯中,所有球员上、下半场的跑动距离(4 940±507) m 与(4 933±516) m]、最大跑动速度(27.5±2.7) km/h与(27.5±2.5) km/h]、高强度跑动次数(15.5±6.2)次与(15.1±6.0)次] 都只体现出极其可能的微小无意义变化(ES=-0.04、-0.06、-0.03,可能性皆大于99.5%),而下半场的慢跑距离(1 917±186) m相对于上半场的慢跑距离(1 771±176) m,则出现了极其可能的中等程度的升高(ES=0.82,可能性大于99.5%)。

关 键 词:足球  世界杯  跑动  比赛表现  数据级数推断
收稿时间:2019/6/17 0:00:00

Study on the Match Running Characteristics of Players in 2018 FIFA World Cup Russia
LIU Hongyou,WANG Lei,HUANG Guohu,ZHANG Hengliang and MAO Wanli.Study on the Match Running Characteristics of Players in 2018 FIFA World Cup Russia[J].Sports Science Research,2019(4):10-16.
Authors:LIU Hongyou  WANG Lei  HUANG Guohu  ZHANG Hengliang and MAO Wanli
Institution:School of Physical Education & Sports Science, South China Normal University; National Demonstration Centre for Experimental Sports Science Education, South China Normal University,School of Physical Education & Sports Science, South China Normal University,School of Physical Education & Sports Science, South China Normal University,School of Physical Education & Sports Science, South China Normal University and School of Physical Education & Sports Science, South China Normal University
Abstract:Magnitude-based inferences and generalized linear mixed modelling were employed to analyze the 829 match-running performances of 381 players participating in the 2018 Russian FIFA World Cup. Results showed that: (1) Average total distance per match covered by players was (9 872±956) m, of which high-intensity-running distance took 7.2%, average high-intensity-running efforts were (31±11) times per match; (2) Midfield players covered the most distance (10 608±759) m, followed by forwards (9 622±900) m, defenders came the last (9 484±807) m. Forwards achieved the most sprints (259±113) m and jogging (3 827±324) m, midfielders did the most low-speed-running (4 705±685) m and moderate-speed running (1 596±333) m; (3) The total distance covered (4 940±507) m vs (4933±516) m], maximum velocity (27.5±2.7) km/h vs (27.5±2.5) km/h], high-intensity-running efforts (15.5±6.2) times vs (15.1±6.0) times] showed trivial changes in the second half comparing to the first (ES=-0.04, -0.06, -0.03 respectively, likelihood > 99.5%), while the jogging distance in the second half (1 917±186) m showed a moderate increase (ES=0.82, likelihood > 99.5%) comparing to the first (1 771±176) m.
Keywords:Soccer  FIFA World Cup  match running  match performance  magnitude-based inference
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