Optimization of Game Formats in U-10 Soccer Using Logistic Regression Analysis

Author:

Amatria Mario1,Lapresa Daniel2,Arana Javier3,Anguera M. Teresa4,Garzón Belén2

Affiliation:

1. Department of Physical Activity Sciences and Sports. Pontifical University of Salamanca, Spain

2. Department of Educational Sciences. University of La Rioja, Spain

3. Department of Education. International University of La Rioja (UNIR), Spain

4. Department of Behavioural Sciences Methodology, Institute of Brain, Cognition and Behavior. University of Barcelona, Spain

Abstract

Abstract Small-sided games provide young soccer players with better opportunities to develop their skills and progress as individual and team players. There is, however, little evidence on the effectiveness of different game formats in different age groups, and furthermore, these formats can vary between and even within countries. The Royal Spanish Soccer Association replaced the traditional grassroots 7-a-side format (F-7) with the 8-a-side format (F-8) in the 2011-12 season and the country’s regional federations gradually followed suit. The aim of this observational methodology study was to investigate which of these formats best suited the learning needs of U-10 players transitioning from 5-aside futsal. We built a multiple logistic regression model to predict the success of offensive moves depending on the game format and the area of the pitch in which the move was initiated. Success was defined as a shot at the goal. We also built two simple logistic regression models to evaluate how the game format influenced the acquisition of technicaltactical skills. It was found that the probability of a shot at the goal was higher in F-7 than in F-8 for moves initiated in the Creation Sector-Own Half (0.08 vs 0.07) and the Creation Sector-Opponent's Half (0.18 vs 0.16). The probability was the same (0.04) in the Safety Sector. Children also had more opportunities to control the ball and pass or take a shot in the F-7 format (0.24 vs 0.20), and these were also more likely to be successful in this format (0.28 vs 0.19).

Publisher

Walter de Gruyter GmbH

Subject

Physiology (medical),Physical Therapy, Sports Therapy and Rehabilitation

Reference30 articles.

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3. Anguera MT, Hernández-Mendo A. Observational methodology in sport sciences. E-balonmano.com: J Sport Sci, 2013; 9(3): 135-160

4. Arana J, Lapresa D, Anguera MT, Garzón B. Adapting football to the child: an application of the logistic regression model in observational methodology. Qual Quant, 2013; 47(6): 3473-3480.

5. Bakeman R, Quera V. Sequential analysis and observational methods for the behavioral sciences. Cambridge: University Press; 2011

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