Literature DB >> 31354060

Technical and physical match performance of teams in the 2018 FIFA World Cup: Effects of two different playing styles.

Qing Yi1,2, Miguel A Gómez2, Lei Wang3,4, Guohu Huang3,4, Hengliang Zhang3,4, Hongyou Liu3,4.   

Abstract

In order to investigate the effect of playing styles on the match performance of football teams, data were analysed on 18 technical performance-related variables and 8 physical performance-related variables from 59 matches in the 2018 FIFA World Cup. A k-means cluster analysis was conducted to classify all match observations into two clusters of tactical approach in order to identify the playing styles of teams (characterised as direct-play, possession-play and mixed-play). Separate Poisson regression models were run in the generalised mixed linear modelling to examine the differences in technical and physical performance between teams classified as using different playing styles when facing different opponents. Results showed that possession-play characterised teams achieved higher values in all the variables related to goal scoring, attacking and passing (ES: 0.32 ~ 1.27) and covered more distance in sprints and high-intensity running (ES: 0.33 ~ 0.47) than direct-play characterised teams. Both possession- and direct-play characterised teams achieved higher values in passing, pass accuracy and delivery into the attacking third playing against direct-play characterised teams than playing against possession-play characterised sides (ES: 0.22 ~ 0.98). These findings may provide insights into the establishment of performance profiles of teams with different tactical styles and the development of specific training drills to optimise playing style.

Entities:  

Keywords:  Playing style; ball possession; match analysis; notational analysis; soccer

Year:  2019        PMID: 31354060     DOI: 10.1080/02640414.2019.1648120

Source DB:  PubMed          Journal:  J Sports Sci        ISSN: 0264-0414            Impact factor:   3.337


  16 in total

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2.  Evolutionary Trends of Players' Technical Characteristics in the UEFA Champions League.

Authors:  Qing Yi; Hongyou Liu; George P Nassis; Miguel-Ángel Gómez
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3.  Predicting Wins, Losses and Attributes' Sensitivities in the Soccer World Cup 2018 Using Neural Network Analysis.

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4.  Evaluation of the Technical Performance of Football Players in the UEFA Champions League.

Authors:  Qing Yi; Miguel-Ángel Gómez-Ruano; Hongyou Liu; Shaoliang Zhang; Binghong Gao; Fabian Wunderlich; Daniel Memmert
Journal:  Int J Environ Res Public Health       Date:  2020-01-17       Impact factor: 3.390

5.  Tactical Variables Related to Gaining the Ball in Advanced Zones of the Soccer Pitch: Analysis of Differences Among Elite Teams and the Effect of Contextual Variables.

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Journal:  Front Psychol       Date:  2020-01-21

6.  A Longitudinal Exploration of Match Running Performance during a Football Match in the Spanish La Liga: A Four-Season Study.

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7.  Modeling the Keys to Team's Success in the Women's Chinese Basketball Association.

Authors:  Qing Yi; Shaoliang Zhang; Wenxuan Fang; Miguel-Ángel Gómez-Ruano
Journal:  Front Psychol       Date:  2021-06-04

8.  Spatial movement pattern recognition in soccer based on relative player movements.

Authors:  Jasper Beernaerts; Bernard De Baets; Matthieu Lenoir; Nico Van de Weghe
Journal:  PLoS One       Date:  2020-01-16       Impact factor: 3.240

9.  Differences in Technical Performance of Players From 'The Big Five' European Football Leagues in the UEFA Champions League.

Authors:  Qing Yi; Ryan Groom; Chen Dai; Hongyou Liu; Miguel Ángel Gómez Ruano
Journal:  Front Psychol       Date:  2019-12-06

10.  Key performance indicators at FIFA Women's World Cup in different playing surfaces.

Authors:  Jorge Garcia-Unanue; Alvaro Fernandez-Luna; Pablo Burillo; Leonor Gallardo; Javier Sanchez-Sanchez; Samuel Manzano-Carrasco; Jose Luis Felipe
Journal:  PLoS One       Date:  2020-10-23       Impact factor: 3.240

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