Data from 303 youth tennis players collected by the Royal Dutch Lawn Tennis Association between 2014 and 2025. The dataset includes physical performance variables measured at age 12 and tennis performance ratings at U12 and U16 levels. It was analyzed by Rikken et al. to examine determinants of concurrent and future athletic performance.
Use Cases
- Modeling the relationship between physical variables and concurrent tennis performance based on the described correlation and regression analyses.
- Assessing the predictive power of physical measurements for future athletic performance, particularly the noted decline from age 12 to 16.
- Investigating gender differences in talent prediction, as the study found significant relationships for male players but not for female players.
- Profiling current athlete performance and identifying individual developmental needs using the physical determinants mentioned.
Strengths
- Data spans 10 years (2014-2025), providing a longitudinal perspective.
- Includes 303 youth tennis players (177 males, 126 females), with a future-performance subsample of 185 players.
- Analysis script in R is included, facilitating reproducibility of the study's methods.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count for the primary dataset is unknown, which may limit suitability assessment.
- The description notes limited predictive value for long-term talent identification, especially for female players.
Provenance
- Source
- Royal Dutch Lawn Tennis Association
- Collection Method
- Collected during periodic testing days as part of a talent identification and development program.
- Time Range
- 2014 to 2025
- Freshness
- Last updated 2026-07-13 06:10:19; freshness should be verified.
- Geography
- Likely the Netherlands, based on the collecting organization.