RTP & House Edge Calculator
Last updated: 2026-07-14
Convert RTP to house edge and expected loss per hour, then run a 10,000-session Monte Carlo simulation to see the bankroll-outcome distribution, bust probability, and percentile results at any volatility.
How Do RTP and House Edge Relate?
RTP and house edge are two views of the same number: house edge = 1 − RTP. A 96% RTP slot returns 96 cents per dollar wagered on average and keeps 4 cents as the house edge. The converter turns that edge into expected loss per $100 wagered, per hour, and across a full session so an abstract percentage becomes a dollar figure.
Why Does Volatility Matter as Much as RTP?
RTP sets the long-run average; volatility sets how wildly results swing around it. Two 96% games — one low-variance, one a high-variance jackpot slot — deliver very different sessions. The high-variance game busts bankrolls faster but also produces the rare large wins. Our simulator draws each spin from a distribution matched to both the RTP and the volatility you set, so the outcome spread reflects real game behavior.
What Does the Session Simulator Show?
Running 10,000 Monte Carlo sessions produces a distribution of ending bankrolls, a bust probability, and median and percentile outcomes. It makes variance and risk of ruin concrete: you can see how often a bankroll survives, how wide the range of results is, and how the house edge pulls the center below your starting point over time. Pair it with the expected loss calculator and the bonus value calculator, and explore live market data on the Odds Reference dashboard.
Key Takeaways
- House edge = 1 − RTP; the conversion is exact and reversible.
- Expected loss is per dollar wagered, and re-wagering compounds it over a session.
- Volatility, not RTP, drives short-term swings and bust probability.
- Every RTP below 100% carries negative expected value in the long run.
- The 10,000-session distribution is educational risk modeling, not a session prediction.