Running Athlete Training and Racing Characteristics by Performance Tier

Participant training and racing characteristics are summarized by Tier level (1-3). The dataset, authored by Louise Burnie, is a 5.5 KB Excel file last updated on June 2, 2026. It presents means and standard deviations for an unspecified number of athletes.

Use Cases

• Classify athlete performance tiers based on training volume and race results mentioned in the description.
• Model the relationship between training characteristics and racing outcomes for different performance levels.
• Benchmark individual athlete metrics against aggregated tier-level statistics.

Strengths

• Data is structured with summary statistics (means and standard deviations) for clear comparison.
• The dataset is openly licensed under CC-BY-4.0 for reuse.
• It is a small file (5.5 KB), ensuring quick download and easy initial inspection.

Limitations

• The dataset is very small (5.5 KB), indicating limited scope and likely a small sample size.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for modeling.

Provenance

Source

Louise Burnie via figshare

Freshness

Last updated 2026-06-02 17:25:35; freshness should be verified.