
Simulation and decision analysis
Probabilistic TCG Optimizer
Built a Monte Carlo simulator for Pokemon TCG deck consistency, modeling search lines and prize outcomes to estimate how often a Stage 2 strategy comes online by turn. The tool compares deck changes across thousands of trials and surfaces which additions most improve early setup odds.
