A Multidimensional Approach to Talent Identification in Youth Volleyball through Declarative Tactical Knowledge and...

Area of Science:

• Sports Science
• Talent Identification
• Volleyball Performance Analysis

Background:

• Identifying talented young athletes is crucial for long-term sports success.
• Multidimensional performance assessments are increasingly recognized as vital for talent identification.

Purpose of the Study:

• To determine which multidimensional performance indexes best predict talent identification in female youth volleyball players.
• To evaluate the predictive power of Musculoskeletal Fitness (MSF), Functional Motor Competence (FMC), and Declarative Tactical Knowledge (DTK) in talent identification.

Main Methods:

• Fifty-five female volleyball players were grouped based on physical characteristics.
• MSF, FMC, and DTK were measured as performance indexes.
• Regression analyses were used to assess variance explained by different performance indexes.

Main Results:

• Functional Motor Competence (FMC) components explained more variance (R² = 0.53) than Musculoskeletal Fitness (MSF) components (R² = 0.45).
• The Throw-and-Catch test (OR = 1.58) and Supine-to-Stand-and-Go test (OR = 0.02) were significant FMC predictors.
• A combined model of MSF, FMC, and Declarative Tactical Knowledge (DTK) explained 63% of the variance (R² = 0.63).

Conclusions:

• A comprehensive, multidimensional approach is necessary for effective talent identification and monitoring in youth volleyball.
• Functional Motor Competence and Musculoskeletal Fitness, alongside Declarative Tactical Knowledge, are key indicators of potential in young volleyball players.