Related Experiment Video
Updated: Jan 7, 2026

Effects of a Novel Neuromuscular Training Intervention on Jump, Sprint, and Change of Direction in Adult Female Soccer Players
Published on: June 10, 2025
Is Weekly Training Load Associated With Match-Related Contextual Variables in Spanish Elite Young Soccer Players?
Vicente de Dios-Álvarez1,2, Alexis Padrón-Cabo1, Julen Castellano3
1Faculty of Education and Sports Sciences, University of Vigo, Pontevedra,Spain.
Weekly training load in youth soccer is influenced by match location. Away games increase sprint distance load compared to home games, emphasizing the need to consider travel in training planning.
Area of Science:
- Sports Science
- Youth Soccer Performance
- Training Load Monitoring
Background:
- Monitoring weekly training load (WTL) is crucial for youth soccer players.
- The impact of contextual factors on WTL within a microcycle is not well understood.
Purpose of the Study:
- To analyze how match-related factors (location, opponent) affect WTL in elite youth soccer.
- To compare WTL based on the number of training sessions per microcycle.
Main Methods:
- Collected training and match data from 46 elite youth soccer players.
- Utilized Global Positioning System (GPS) for external load variables (distance, speed, player load).
- Categorized training weeks by match location, opponent level, and microcycle length (3, 4, or 5 sessions).
Main Results:
- WTL, specifically sprint distance, was higher before away matches than home matches.
- Weeks with 3 training sessions (W3s) had significantly lower WTL than W4s and W5s.
- Weeks with 5 training sessions (W5s) showed higher WTL than W4s for total distance, player load, and power score.
Conclusions:
- Match location is a significant contextual factor influencing WTL in youth soccer.
- Training load planning must account for match location to manage player fatigue and recovery.
- Microcycle length also impacts WTL, with more sessions generally leading to higher loads.
Related Concept Videos
Multiple Regression
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Factors Influencing Heart Rate
Let us explore the significant factors affecting heart rate, including age, body temperature, posture, acute pain, chemical influences,...
Stress: General Loading Conditions
The shearing force, possessing potential directionality within the plane of the section, is simplified into two component forces running parallel to the x and y axes....
Factors Affecting Activity Coefficient
The activity coefficient value for an ion is close to one when the solution has almost zero ionic strength, i.e., when the solution shows close to ideal behavior. As the ionic strength of the solution increases from 0 to 0.1 mol/L, a...
Coefficient of Correlation
If you suspect a linear relationship between x and y, then r can measure how strong the linear relationship is.
What the VALUE of r tells us:
The value of r is always between –1 and +1: –1 ≤ r ≤ 1.
The size of the correlation r indicates the...
Variability: Analysis
The range is a simple measure of variability, indicating the difference between the highest and...

