Literature DB >> 27167712

Technical and physical analysis of the 2014 FIFA World Cup Brazil: winners vs. losers.

Michael C Rumpf1,2, Joao R Silva3,4, Maxime Hertzog3, Abdulaziz Farooq5, George Nassis3.   

Abstract

BACKGROUND: The purpose of the present study was to investigate the technical and physical performance parameters that distinguish between teams winning and losing matches in the 2014 FIFA World Cup Brazil.
METHODS: Data were derived from the FIFA website and from live-statistics provided during each game of the world cup. Twelve physical (such as total distance covered in meters (TD), TD in distinct locomotor categories: low-intensity running (LIR; <11 km/h), moderate-intensity running (MIR; 11 to 14 km/h) and high-intensity-running (HIR; >14 km/h)) and 21 technical parameters (total passes, short-, medium- and long-distance passes, total pass completion rate, dangerous attacks, attacking attempts, delivery in penalty area, ball possession, goals, goals from set-pieces, goals per shot on goal, defending saves, shots, shots on goal, shot accuracy, set-pieces, crosses, corners, clearances, yellow cards) were analyzed. Forty-two games in which a winner and consequently a loser were presented after 90 minutes of game time were investigated with independent t-tests. A binary-logistic regression was utilized to investigate whether the significant variables predicted success of the winning teams.
RESULTS: The winning teams scored significantly (P<0.05) greater amount of goals, goals per set-pieces, goals per shots on goals, shots on goal and shot accuracy and received significantly lower yellow cards. The binary-logistic regression utilized showed that shot accuracy was the best predictor for success. The physical parameters did not differ between teams winning and losing a match.
CONCLUSIONS: Technical performance related to goal scoring parameters play a decisive role in World Cup games. Furthermore, scoring efficacy from open-play as well as from set-pieces are crucial to win matches in a World Cup tournament. At this level, physical performance was not the factor to discriminate between winners and losers.

Entities:  

Mesh:

Year:  2016        PMID: 27167712     DOI: 10.23736/S0022-4707.16.06440-9

Source DB:  PubMed          Journal:  J Sports Med Phys Fitness        ISSN: 0022-4707            Impact factor:   1.637


  3 in total

1.  Predicting Wins, Losses and Attributes' Sensitivities in the Soccer World Cup 2018 Using Neural Network Analysis.

Authors:  Amr Hassan; Abdel-Rahman Akl; Ibrahim Hassan; Caroline Sunderland
Journal:  Sensors (Basel)       Date:  2020-06-05       Impact factor: 3.576

2.  Contrasts in intermittent endurance performance and heart rate response between female and male soccer players of different playing levels.

Authors:  Maithe Cardoso de Araújo; Christian Baumgart; Jürgen Freiwald; Matthias W Hoppe
Journal:  Biol Sport       Date:  2019-11-09       Impact factor: 2.806

3.  Influence of contextual factors on physical demands and technical-tactical actions regarding playing position in professional soccer players.

Authors:  Adrián Díez; Demetrio Lozano; Jose Luis Arjol-Serrano; Elena Mainer-Pardos; Daniel Castillo; Marcelino Torrontegui-Duarte; Hadi Nobari; Diego Jaén-Carrillo; Miguel Lampre
Journal:  BMC Sports Sci Med Rehabil       Date:  2021-12-16
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.