Decision intelligence · SportsInteractive demo
Atlas Sports Intelligence
A multi-sport decision workspace that combines validated data, deterministic optimization, simulation, and explainable portfolio analysis.
Outcome / decision impact
Made optimization choices and constraint failures visible, so users can challenge projections, exposure, and scenarios instead of accepting a black-box lineup.
4 sport workflows7-lineup portfolio optimizationMonte Carlo scenario analysis
My contributionProduct strategy, optimization workflow design, simulation framing, explainability, and product experience.
01 · Problem
The decision was obscured by fragmented evidence.
Sports decisions require disciplined handling of projections, constraints, uncertainty, and competing scenarios. Atlas Sports Intelligence turns those inputs into transparent workflows that can be inspected and challenged.02 · System
Designed as a decision surface—not a black box.
- NFL single-lineup optimization and seven-lineup portfolio construction
- Exposure controls, stacking rules, and structured infeasibility explanations
- Monte Carlo simulation plus projection-accuracy learning
- Dedicated NASCAR, Best Ball, and season-long workflows
03 · Trust boundary
What this is—and what it is not.
This public environment uses fictional players and deterministic demonstration data. It does not use Brandon’s private production data, call OpenAI, or provide guaranteed wagering outcomes.