Elite Youth Soccer Player Locomotor and Physiological Profiles from a Tournament

Eighteen elite under-20 male soccer players from a professional club were monitored during a tournament. The dataset includes GPS-derived locomotor demands expressed as standardized Z-scores and physiological predictors analyzed via partial least squares. The data was authored by Valmir Silvino and last updated on 2026-05-28.

Use Cases

• Modeling positional differences in running patterns based on GPS speed bands.
• Identifying cardiorespiratory-metabolic determinants of locomotor performance using PLS and VIP analyses.
• Assessing player load and fatigue during congested tournament schedules.

Strengths

• Data is from 18 elite U-20 male players (19.1 ± 0.83 years) from a professional club.
• Locomotor data is derived from GPS and expressed as standardized Z-scores (±2).
• Physiological predictors were examined using partial least squares (PLS) and variable importance in projection (VIP) analyses.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 9.3 KB, indicating limited scope.

Provenance

Source

Valmir Silvino via figshare

Collection Method

GPS tracking and physiological assessment during an elite youth soccer tournament.

Freshness

Last updated 2026-05-28 17:39:41; freshness should be verified