Literature DB >> 29742748

Planning Training Workload in Football Using Small-Sided Games' Density.

Sebastien Sangnier1, Thierry Cotte1, Olivier Brachet2, Jeremy Coquart3, Claire Tourny3.   

Abstract

Sangnier, S, Cotte, T, Brachet, O, Coquart, J, and Tourny, C. Planning training workload in football using small-sided games density. J Strength Cond Res 33(10): 2801-2811, 2019-To develop the physical qualities, the small-sided games' (SSGs) density may be essential in soccer. Small-sided games are games in which the pitch size, players' number, and rules are different to those for traditional soccer matches. The purpose was to assess the relation between training workload and SSGs' density. The 33 densities data (41 practice games and 3 full games) were analyzed through global positioning system (GPS) data collected from 25 professional soccer players (80.7 ± 7.0 kg; 1.83 ± 0.05 m; 26.4 ± 4.9 years). From total distance, distance metabolic power, sprint distance, and acceleration distance, the data GPS were divided into 4 categories: endurance, power, speed, and strength. Statistical analysis compared the relation between GPS values and SSGs' densities, and 3 methods were applied to assess models (R-squared, root-mean-square error, and Akaike information criterion). The results suggest that all the GPS data match the player's essential athletic skills. They were all correlated with the game's density. Acceleration distance, deceleration distance, metabolic power, and total distance followed a logarithmic regression model, whereas distance and number of sprints follow a linear regression model. The research reveals options to monitor the training workload. Coaches could anticipate the load resulting from the SSGs and adjust the field size to the players' number. Taking into account the field size during SSGs enables coaches to target the most favorable density for developing expected physical qualities. Calibrating intensity during SSGs would allow coaches to assess each athletic skill in the same conditions of intensity as in the competition.

Mesh:

Year:  2019        PMID: 29742748     DOI: 10.1519/JSC.0000000000002598

Source DB:  PubMed          Journal:  J Strength Cond Res        ISSN: 1064-8011            Impact factor:   3.775


  4 in total

1.  Selecting Training-Load Measures to Explain Variability in Football Training Games.

Authors:  Unai Zurutuza; Julen Castellano; Ibon Echeazarra; Ibai Guridi; David Casamichana
Journal:  Front Psychol       Date:  2020-01-24

2.  External and Internal Training Loads for Intensive and Extensive Tactical-Conditioning in Soccer Small Sided Games.

Authors:  Vinicius Zanetti; Marcelo Saldanha Aoki; Paul S Bradley; Alexandre Moreira
Journal:  J Hum Kinet       Date:  2022-09-08       Impact factor: 2.923

3.  Effect of Small-Sided Games with and without the Offside Rule on Young Soccer Players: Reliability of Physiological Demands.

Authors:  Igor Junio Oliveira Custódio; Renan Dos Santos; Rafael de Oliveira Ildefonso; André Andrade; Rodrigo Diniz; Gustavo Peixoto; Sarah Bredt; Gibson Moreira Praça; Mauro Heleno Chagas
Journal:  Int J Environ Res Public Health       Date:  2022-08-24       Impact factor: 4.614

4.  The Quantification of Acceleration Events in Elite Team Sport: a Systematic Review.

Authors:  Robert I M Delves; Robert J Aughey; Kevin Ball; Grant M Duthie
Journal:  Sports Med Open       Date:  2021-06-30
  4 in total

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