Kinesiology, Vol. 54 No. 1, 2022.
Original scientific paper
https://doi.org/10.26582/k.54.1.3
Training and fitness variability in elite youth soccer: perspectives from a difficulty prediction model
Yousri Elghoul
orcid.org/0000-0002-7095-7479
; Education, Motor Skills, Sports and Health (EM2S), LR19JS01; High Institute of Sport and Physical Education of Sfax, University of Sfax
Khaled Trabelsi
; Education, Motor Skills, Sports and Health (EM2S), LR19JS01; High Institute of Sport and Physical Education of Sfax, University of Sfax, Tunisia
Liwa Masmoudi
; Education, Motor Skills, Sports and Health (EM2S), LR19JS01; High Institute of Sport and Physical Education of Sfax, University of Sfax, Tunisia
Ahmed Ben Kahla
; Education, Motor Skills, Sports and Health (EM2S), LR19JS01; High Institute of Sport and Physical Education of Sfax, University of Sfax, Tunisia
Mohamed A. Souissi
; Physical Activity: Sport and Health, UR18JS01, National Sport Observatory, Tunisia
Cain C. T. Clark
; Warwickshire Institute for Diabetes, Endocrinology & Metabolism (WISDEM), University Hospitals Coventry & Warwickshire (UHCW), Coventry, UK
Omar Boukhris
; Education, Motor Skills, Sports and Health (EM2S), LR19JS01
Jordan M. Glenn
; Exercise Science Research Center, Department of Health, Human Performance and Recreation, University of Arkansas, Fayetteville, Arkansas, USA
Mohamed Frikha
; Department of Physical Education, College of Education, King Faisal University, Al-Hufŭf, Saudi Arabia
Abstract
Research within sport science disciplines seeks to enhance performance via the combination of factors that influences the team’s periodization. The current study aimed to investigate the variations in training load (TL), and the consequential changes in fitness variables, based on the use of match difficulty prediction model (MDP), level of opposition (LOP), days between matches, and match location during 12 weeks in the competitive period I. Seventeen elite soccer players (age = 17.57 ± 0.49 years; body height 1.79 ± 0.05 m; body weight 72.21 ± 6.96 kg), have completed a Yo-Yo intermittent recovery test, a running-based anaerobic sprint test, a soccer-specific repeated sprint ability, and a vertical jump test to identify changes in players fitness. TL was determined by multiplying the RPE of the session by its duration in minutes (s-RPE). Training monotony, strain, and acute:chronic workload ratio (ACWR) were also assessed. A simple regression model was conducted and the highest variances explained (R2) were used. The LOP score explained most of the variance in ACWR (r= 0.606, R2=0.37). TL declined significantly when compared the match-day by the first three days and the last three days of the week. No significant difference was found in s-RPE between the high and low MDP factor. Strong negative correlations were reported between ACWR and LOP (r=-0.714, p<.01). In addition, we found a significant improvement in repeated sprint ability, aerobic and anaerobic fitness variables between pre- and post-test in fatigue index (d=1.104), best testing time, ideal time, total time and mean-best (d=0.518-0.550), and aerobic and anaerobic fitness variables (p<.05), respectively. The MDP could facilitate the training prescription as well as the distribution of training intensities with high specificity, providing a long-term youth player’s development and allowing teams to maintain optimal fitness leading into more difficult matches.
Keywords
prediction match difficulty; training loads; periodization; football
Hrčak ID:
274101
URI
Publication date:
30.6.2022.
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