German 3x3 Basketball Player Assessments and Coach Selection Data

46 3x3 basketball players aged 15.8 to 18.6 years were assessed during the final stage of the German national selection system. The dataset includes motor performance tests, anthropometrics, and coaches' subjective assessments of technical, tactical, and psychological parameters. Nora Cermak published this research data on figshare in 2026.

Use Cases

• Predict player selection outcomes using logistic regression on features like motor performance tests and subjective assessment components.
• Analyze interrater reliability between coaches using intraclass correlation coefficients (ICC) from subjective assessment ratings.
• Compare the relevance of different talent aspects, such as current performance, between national and regional coaches via graphical analysis.
• Build a fast-and-frugal tree (FFTree) model to identify cue prioritization for selection decisions under limited information.
• Investigate gender differences in coach assessment consistency by comparing ICC values for female (0.38) and male (0.51) players.

Strengths

• Includes 46 players with a balanced gender split (23 female, 23 male).
• Multidimensional data covering motor performance, anthropometrics, and subjective ratings of technical, tactical, and psychological parameters.
• Analysis compares two distinct statistical approaches: logistic regression (Nagelkerke R² = 0.70) and fast-and-frugal trees.

Limitations

• Small sample size of 46 players limits statistical power and generalizability.
• Low to moderate interrater reliability between coaches (ICC 0.38-0.51) indicates subjective and potentially noisy labels.
• Geographic bias as data is sourced solely from the German national selection system.

Provenance

Source

Nora Cermak via figshare.

Collection Method

Data collected during the final stage of the German national selection system for 3x3 basketball, including tests and coach assessments.

Time Range

null

Freshness

Data last updated in 2026.

Geography

Germany