Data-Driven Athlete Risk Assessment for the U.S. Anti-Doping Agency
Overview
The U.S. Anti-Doping Agency (USADA) sought to strengthen its anti-doping program by using data to inform athlete risk assessment, testing priorities, and resource allocation.
The Challenge
Relevant information was distributed across internal and external sources, with inconsistent data quality practices and limited ability to systematically evaluate risk. USADA needed a more structured approach to identify patterns and focus testing resources where they could have the greatest impact.
The Solution & Benefits
Simatree consolidated data spanning physiological, historical, and behavioral risk factors and developed an algorithm to calculate athlete risk scores across three domains. The team also created a centralized reporting environment that made risk information accessible for analysis and decision-making. The solution provided USADA with a more consistent, evidence-based approach to evaluating risk and prioritizing testing resources.
Measuring Success
The initiative demonstrated that integrated data and athlete risk scoring could provide actionable information for adapting testing distribution and focusing resources on higher-risk cases.
The Results
USADA gained a scalable analytical foundation for more targeted testing, informed resource allocation, and continued advancement of its data-driven anti-doping strategy.