Sports Visual Ability and Catching Performance for 24 Collegiate Baseball Infielders

24 elite collegiate baseball infielders from the Dalian University School of Physical Education were assessed for sports visual ability and catching performance. The dataset likely contains results from a cross-sectional correlational study, including Senaptec system visual ability indices and correct catch rates. Author Yuankun Long published the data under a CC-BY-4.0 license on figshare, last updated in May 2026.

Use Cases

• Correlating depth perception metrics with catching success rates.
• Predicting catching performance based on eye-hand coordination and reaction time data.
• Analyzing the variance in performance explained by a combination of visual ability predictors.
• Comparing visual ability profiles across different infield positions (first, second, third base, shortstop).

Strengths

• Dataset includes specific statistical results, such as an R² of 0.932 for the predictive model.
• Analysis employed cross-validation (LOOCV Q²=0.87) to assess model generalizability despite a modest sample size.
• Study design and methodology are clearly described in the provided metadata.

Limitations

• The dataset is very small, with only 24 participants, limiting statistical power and generalizability.
• Row count and column-level documentation are unknown, requiring manual inspection after download.
• Data may reflect geographic and institutional bias, being sourced from a single university's baseball team.

Provenance

Source

Author Yuankun Long, via figshare.

Collection Method

Cross-sectional correlational study using the Senaptec system for visual assessment and a catching task for performance measurement.

Freshness

Last updated 2026-05-25 04:32:57.

Geography

Dalian University School of Physical Education (likely China).