A Structured Universal Youth Multi-Sport Development Model for Talent Identification and Athlete Development in United States

This work proposes a structured and subsidized multi-sport development model for children aged 6–12 as a strategic response to structural limitations in youth sports systems in the United States. Current models, characterized by early specialization, high participation costs, and fragmented organization, contribute to increased injury risk, reduced accessibility, and inefficient talent identification. The proposed Universal Youth Multi-Sport Development Model (UYMDM) integrates principles of Long-Term Athlete Development (LTAD) with a practical, time-limited program lasting 6–12 months. The model emphasizes fundamental motor skill development, diversified sports exposure, and systematic assessment through repeated testing cycles. A key component of the model is a data-driven talent identification system, enabling delayed and more accurate athlete selection based on objective motor and anthropometric indicators. In addition, the model introduces a two-phase funding structure, combining full public subsidization in the initial stage with partial co-financing in later participation, ensuring both accessibility and long-term sustainability. The implementation of this model is expected to improve youth physical development, increase participation rates, and expand the talent pool across a wider range of sports. Furthermore, it supports more efficient allocation of athletes, benefiting both elite performance pathways and grassroots sports organizations. Overall, the model represents a scalable and policy-relevant solution that aligns with national interests in public health, youth development, and long-term sports system efficiency in the United States.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-17
DOI
https://doi.org/10.5281/zenodo.19629681
Primary Topic
Sport Psychology and Performance
Type
article
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article

A Structured Universal Youth Multi-Sport Development Model for Talent Identification and Athlete Development in United States

Rusinic Antonio
Zenodo (CERN European Organization for Nuclear Research)
Sport Psychology and Performance
article

A Structured Universal Youth Multi-Sport Development Model for Talent Identification and Athlete Development in United States

Rusinic Antonio
article en

Abstract

This work proposes a structured and subsidized multi-sport development model for children aged 6–12 as a strategic response to structural limitations in youth sports systems in the United States. Current models, characterized by early specialization, high participation costs, and fragmented organization, contribute to increased injury risk, reduced accessibility, and inefficient talent identification. The proposed Universal Youth Multi-Sport Development Model (UYMDM) integrates principles of Long-Term Athlete Development (LTAD) with a practical, time-limited program lasting 6–12 months. The model emphasizes fundamental motor skill development, diversified sports exposure, and systematic assessment through repeated testing cycles. A key component of the model is a data-driven talent identification system, enabling delayed and more accurate athlete selection based on objective motor and anthropometric indicators. In addition, the model introduces a two-phase funding structure, combining full public subsidization in the initial stage with partial co-financing in later participation, ensuring both accessibility and long-term sustainability. The implementation of this model is expected to improve youth physical development, increase participation rates, and expand the talent pool across a wider range of sports. Furthermore, it supports more efficient allocation of athletes, benefiting both elite performance pathways and grassroots sports organizations. Overall, the model represents a scalable and policy-relevant solution that aligns with national interests in public health, youth development, and long-term sports system efficiency in the United States.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 3%
Sport Psychology and Performance
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