Run 1,000 Monte Carlo simulations to understand how RTP, bet sizing, and volatility affect your balance over a session.
The simulator models repeated spins using the RTP and volatility level you choose. Each iteration uses a random outcome distribution that matches the selected volatility profile.
After all iterations finish, the tool reports the probability that your bankroll reaches zero (bust risk), the average final balance, and the mathematical expected value (EV) of the session.
Bust Risk shows how often the starting balance hit zero before the session ended. Average EV is the expected profit or loss across all iterations. Average Final Balance is the mean amount left after the last spin.
High-volatility games produce less frequent but larger wins. A small bankroll may not survive the losing streaks long enough to reach the larger payouts, so bust risk rises sharply.
RTP is the long-run return percentage. A 96% RTP means the game returns €0.96 for every €1 wagered on average. The difference between 100% and RTP is the house edge.
Mathematically the budget can extend if early wins occur, but the house edge means the average final balance decreases as more spins are played.
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