Odds tools
Crash game session simulator
The expected cost of a crash session is one line of arithmetic. What it hides is the spread. This plays the same session 2,000 times so you can see both.
Across 2,000 simulated sessions the average finish was 95.04 from a start of 100. The expected cost is bet × rounds × edge at every multiplier; a higher cash-out point only widens the spread around it.
The mathematics
A crash round that you cash out at multiplier M is the same bet as a Limbo target: it succeeds with probability (1 − edge) ÷ M and pays M times the stake. Multiply the two and every round returns 1 − edge of what you staked, on average.
That makes the expected cost of a session simply bet × rounds × edge. A 1% edge, a 1-unit stake and 500 rounds costs 5 units on average, at 1.5× or at 50×. What the multiplier changes is volatility: low targets win often and drift down slowly; high targets lose in long runs and occasionally spike.
Verify a real round
If your operator publishes seeds, you can confirm an individual crash result was not altered after you bet with our provably fair verifier. That proves the round was fair. It does not change its price.
Questions
Is there a crash strategy that beats the house edge?
No. Each round is independent, and at any fixed cash-out multiplier the expected cost of a round is the stake times the house edge. Changing the multiplier, the stake, or the order of bets rearranges when you win and lose; it cannot change the long-run price. The simulator lets you check that for any combination you like.
Why do some sessions finish ahead if the expectation is negative?
Because a negative expectation describes the average across many sessions, not every one. Short sessions and high multipliers scatter results widely, so a meaningful share finish in profit. Play longer and that share shrinks, because the edge is charged on every round while luck does not accumulate.
What does 'ran out of balance' mean here?
The session could no longer afford the next bet and stopped early. A busted session has actually paid less in house edge than the full expected cost, because it stopped betting — which is why the average finish can look slightly better than the expected-cost figure suggests.
Are these real crash-game results?
No. They are simulated with a pseudo-random generator using the win probability the house edge implies, (1 − edge) ÷ multiplier. No operator data is used, nothing you type is transmitted, and the same inputs always produce the same figures.
A simulation, not a strategy.18+ only. No cash-out multiplier or staking pattern has a positive expected value. Set a budget you can afford to lose before you play.