Athlete Readiness Multi-Level Framework

This project presents a multi-level analytical framework for structuring and interpreting daily self-reported athlete readiness data in applied team sport settings. The framework is based on longitudinal data collected from high school football and basketball athletes, who reported physical and mental readiness using simple daily self-report measures. The project includes both the research manuscript and the supporting dataset used to examine readiness patterns across player, day, and team levels. The analytical approach emphasizes player-relative standardization, day-level aggregation, and distribution-based metrics to identify variability, temporal clustering, and divergence between physical and mental readiness dimensions. This work is intended to support applied practitioners—particularly coaches and school-based programs—in interpreting athlete readiness data as a contextual decision-support tool rather than a prescriptive performance metric. The dataset is provided in de-identified form to support transparency and reproducibility. The framework is descriptive in nature and does not establish causal relationships with performance or training outcomes. Future work will focus on expanding the framework across additional teams and contexts, and on integrating readiness patterns with training load, performance, and athlete support systems.