The Injury Prediction System offers a comprehensive solution for forecasting player injuries by evaluating key factors: past injury history, player criticality, and applied mitigations. Built on risk assessment logic familiar in IT security, the system enhances this framework with customizable weights and factors to suit sports applications. Technologically, it utilizes a modern three-tier architecture with a React frontend, a Node.js/Express API server, and a PostgreSQL database, integrating tools like TypeScript, TailwindCSS, and OpenAPI 3.0. Key features include player management, an injury registry, preventive mitigation management, configurable prediction engine, and automatic player criticality calculation. It supports features such as injury severity scoring, risk likelihood prediction, and playoff mode multipliers, supplemented by a dashboard and REST API. This dynamic prediction system allows adjustments to scoring parameters, maintaining consistency and transparency. The sale includes comprehensive components: the complete source code, frontend and backend frameworks, the database schema, prediction engine, REST API, OpenAPI documentation, technical documentation, and calculation logic documentation, plus personal support. Future expansion opportunities involve machine learning models, wearable device integrations, GPS training load analysis, and mobile application development. This system benefits organizations seeking to manage and predict player injury risk through configurable analytics. Its modular architecture and customizable prediction engine, combined with a well-defined API, facilitate further customization and integration into existing sports performance frameworks, offering a robust, fully-developed product ready for immediate implementation.