Coach Selection Decisions in German 3x3 Basketball Talent Evaluation

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

Use Cases

• Compare logistic regression and fast-and-frugal tree (FFTree) models for predicting player selection based on subjective assessment components.
• Analyze interrater reliability (ICC) between coaches' subjective assessments of technical, tactical, and psychological parameters.
• Investigate differences between national and regional coaches in their ratings of talent aspect relevance, such as current performance.
• Examine the prioritization of cues like motor performance tests and anthropometrics within a bounded rationality framework.

Strengths

• 46 players assessed with a balanced gender split (23 female, 23 male).
• Multidimensional data includes motor tests, anthropometrics, and subjective assessments across technical, tactical, and psychological domains.
• Analysis achieved a high model fit (Nagelkerke R² = 0.70) for selection prediction.

Limitations

• Small sample size of 46 players limits statistical power and generalizability.
• Interrater reliability between coaches was poor to moderate (ICC 0.38-0.51), indicating high subjectivity.
• Geographic scope is limited to 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 performance tests and coach assessments.

Time Range

Data collection period not specified; publication date is 2026.

Freshness

Last updated March 2026.

Geography

Germany.