Simulation models are used to evaluate multiple match scenarios.
AI runs thousands of simulations based on different variables such as pitch conditions, player form, and team combinations.
Each simulation produces a different outcome, and AI identifies patterns to determine the best team.
This approach reduces uncertainty and improves accuracy.
Simulation-based optimization is one of the most advanced techniques in fantasy cricket analytics.
It ensures that team selection is backed by statistical probability rather than guesswork.