Abstract
The main objective was to analyze a friendly match of youth elite soccer players identifying the variance of tactical and physiological response parameters during the game. In addition, detecting the impact of both halves on player performance. For the purposes of this study twenty-two U19 players were analyzed playing 11v11. Activity profile, heart rate (HR and HRmax), grouped in five different zones were analyzed via Bluetooth technology, technical performance was analyzed by the Team Sport Assessment Procedure (TSAP), and tactical performance was measured by Social Network Analysis. A comparison of heart rate responses showed significant main effects in the halves (p = 0.001; = 0.623). A comparison between tactical position and technical performance had significant main effects (p = 0.001; = 0.390). Tactical position showed statistically significant effects on tactical prominence (p = 0.002; = 0.296). Therefore, fatigue is a component distinguished in technical/tactical parameters, such as volume of play and efficiency index. Results suggest that fatigue effects may constrain technical performance and, for that reason, the use of instruments to monitor the fatigue effect during matches may be suggested.
Highlights
The game of football requires a great dynamic and movements that depend on the ball location, teammates, and opponents’ behaviors [1,2]
The two-way MANOVA revealed that the halves (p = 0.001; η 2p = 0.623; moderate effect size) had significant main effects on the heart rate responses
No statistical differences were found between tactical positions (p = 0.376; η 2p = 0.160; small effect size)
Summary
The game of football requires a great dynamic and movements that depend on the ball location, teammates, and opponents’ behaviors [1,2]. The movements made by players constrains the physiological and physical demands; team dynamics should be analyzed in association with the personal demands [3]. The analysis has been performed not considering the dynamic of the game. 90% of HRmax and ~75% of VO2max [4,5] These values are in line with the lactate threshold, prominently varying between oxidative and glycolytic systems [6]. These acute responses depend from the time-motion profile of the players. 10–12 km per game are covered by players during
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