The Event Profitability Engine turns three simple inputs — event type, venue scale, and monetization strategy — into a full synthetic model of an event's economy. It infers attendance ranges, ticket pricing, revenue streams, and cost tiers, then runs Monte Carlo-style scenario sampling to produce probability distributions for revenue, cost, profit, and ROI rather than single point estimates. It models multi-stream revenue (tickets, VIP, sponsorships, vendors, merchandise, concessions, digital and affiliate) with saturation and elasticity curves, and non-linear cost scaling with step-function jumps. Interactive what-if controls recalculate profit curves, break-even, and risk as variables change, and a strategy layer converts results into pricing, venue, and risk-mitigation recommendations.