Project Overview
Bet Engine is a high-performance sports simulation and decision engine built to model outcomes across fantasy sports and sports betting contexts. The project was designed to run large-scale simulations that evaluate player performance ranges, lineup constructions, and betting scenarios under realistic conditions.
The engine focuses on probabilistic modeling rather than static projections, allowing outcomes to be assessed across thousands of simulated game states. Bet Engine serves as the analytical foundation behind several downstream tools, supporting informed decision-making through data-driven evaluation instead of intuition alone.
My Role
- Simulation Engine Architecture
Designed and implemented the core simulation framework used to generate large volumes of outcome scenarios across fantasy and betting use cases.
- Probabilistic Modeling & Evaluation Logic
Built systems to model player variance, game environments, and correlation effects, enabling realistic outcome distributions rather than single-point projections.
- Lineup & Decision Analysis
Developed logic to evaluate fantasy lineups and betting decisions across simulations, ranking results based on performance, risk, and expected value.
- Performance & Scalability Optimization
Optimized the engine to run simulations efficiently at scale, allowing for rapid iteration and analysis across large data sets and contest sizes.
