Liga MX Femenil Player GPS Data for Match Load Analysis, 2020-2023

Aldo A. Vasquez-Bonilla's database contains external load data from GPS devices worn by professional players in the Liga MX Femenil. The dataset includes match-by-match physical performance variables like total distance, high-speed running, and accelerations recorded during official competitions from 2020 to 2023. It was used to analyze the effects of match congestion and contextual factors on players' external load.

Use Cases

• Modeling player fatigue and recovery based on metrics like total distance and player load.
• Analyzing the impact of match congestion on physical output using high-speed running and sprint distance data.
• Profiling positional physical demands across a season using acceleration and deceleration metrics.

Strengths

• Data covers three competitive seasons (2020-2023), providing a multi-year view.
• Includes specific performance variables like high-speed running distance and sprint distance, as mentioned in the description.
• Published under a permissive CC-BY-4.0 license for reuse.

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 small (232.6 KB), indicating a limited scope or aggregated summary-level data.

Provenance

Source

Aldo A. Vasquez-Bonilla via figshare

Collection Method

Collected through Global Positioning System (GPS) devices during official Liga MX Femenil matches.

Time Range

2020 to 2023

Freshness

Last updated 2026-05-22 20:47:58; freshness should be verified.

Geography

Liga MX Femenil (Mexican women's professional soccer league)