Volleyball Player Momentum Ratings from Real-Time Match Analysis

Yusuke Asai published a dataset of 2,103 real-time psychological momentum observations from 25 male high-school volleyball players during practice matches. The data was collected via voice recordings between rallies and analyzed using a linear mixed model to study the effects of expertise, game stage, and play content. The dataset was last updated on June 2, 2026.

Use Cases

• Modeling psychological momentum fluctuations based on play content (active success vs. opponent error).
• Analyzing the impact of game stage on momentum changes following self-induced errors.
• Comparing momentum sensitivity between advanced and intermediate players after conceding points.

Strengths

• Dataset comprises 2,103 observations, providing a substantial sample for analysis.
• Data was collected in real-time from 25 participants during actual practice matches, suggesting high ecological validity.
• Analysis employed a linear mixed model with an AR(1) residual covariance structure to address serial correlation.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying raw data is unknown, which may limit suitability assessment.
• The dataset is small in scale (227.6 KB), indicating limited scope.

Provenance

Source

Yusuke Asai via figshare

Collection Method

Real-time voice recordings from 25 male high-school volleyball players during practice matches.

Freshness

Last updated 2026-06-02 05:40:33; freshness should be verified.