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Crash Game Calculator: Cashout Probability and Virtual Rounds
Choose a target multiplier to see P(reach target) = 0.97 / target, then compare that probability with independent virtual rounds. This is not an operator predictor.
How it works & examplesUnderstand the calculation
Crash cash-out targets and survival probability
A higher cash-out target pays more when it is reached but is reached less often. In this simulator the survival model is RTP divided by the target multiplier. Under a 97% model, reaching 2.00× has probability 0.97/2 = 48.5%. That is a probability for a fresh simulated round, not a prediction based on the previous crash.
Crash targets and Dice thresholds share a risk-versus-multiplier trade-off; compare a fixed chance in Casino Dice Calculator: Win Chance, Multiplier and Virtual Rolls.
Compare targets while keeping your virtual stake constant. An automatic target is useful for a repeatable scenario, but it does not remove the chance of losing the whole stake. The payout at a successful target includes the stake. The result history illustrates variation; it is not a signal that a large multiplier must follow a sequence of small ones.
Play with virtual credits
Enter an auto-cashout target to calculate its exact survival chance in a synthetic 97% RTP model, then test the same target with virtual Crash rounds.
Try the simulator below. Input values stay in your browser; no account or money is involved.
Model assumptions: No. Virtual games use declared teaching models. Verify any actual operator’s payout rules independently.
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How to use the tool
Explore the chance that an independent synthetic Crash round reaches a planned auto-cashout multiplier.
- Choose a virtual stake and a target cashout such as 2.00×.
- Launch a model round or sample independent results.
- Compare the fraction of successful cashouts with the model survival probability.
Understanding your result
For a 2.00× target and an illustrative 97% RTP, this model uses P(reaching target) = 0.97/2 = 48.5%. The average result of short samples can vary widely.
Scope and limitations
There is no way to forecast a live operator’s next crash point from this simulator. Its distribution, cap and model RTP are not operator-specific.
Before you rely on the result
- How the calculation works
Formulas, assumptions, rounding and model limits are documented on the methodology page.
- Check the current inputs
Use the odds, RTP, fees, bonus terms or other values currently shown by the operator or market.
Crash game probability by auto-cashout target
The useful Crash question is not “when will the next high multiplier arrive?” but “what is the modelled chance of reaching my chosen cash-out target?” In this synthetic 97% RTP model, the survival probability at target x is 0.97 / x.
That relationship means a higher target trades win frequency for a larger successful payout. It does not create a better expected return: probability × gross multiplier remains 0.97 before rounding and caps.
Target multiplier versus chance of reaching it
The table shows the exact relationship used by this simulator. A 2× target is reached in 48.5% of model rounds; a 10× target is reached in 9.7%.
| Auto-cashout target | Chance to reach target | Expected gross / 1 staked |
|---|---|---|
| 1.50× | 64.67% | 0.97 |
| 2.00× | 48.50% | 0.97 |
| 3.00× | 32.33% | 0.97 |
| 5.00× | 19.40% | 0.97 |
| 10.00× | 9.70% | 0.97 |
| 100.00× | 0.97% | 0.97 |
Why a lower cash-out target is not “safer” in expected-value terms
A 1.50× target wins much more often than a 10× target, so its round-to-round volatility is lower. But the successful payout is also much smaller. Under the stated 97% model both targets carry the same 3% theoretical house edge. “Safer” can describe hit frequency or variance; it should not be used to imply a higher RTP.
History does not change the next Crash probability
A recent 100× result does not make another large result less likely, and a run of early crashes does not make a high multiplier “due”. This simulator generates independent outcomes. It also does not reproduce an operator’s seed system, maximum multiplier, rounding or dual-bet features.
Worked example
At a 2.00x auto cash-out target in the example 97% model, P(reach 2x) = 0.97/2 = 48.5%. The long-run expected gross return is 0.485 x 2 = 0.97 per credit staked.
Can this model predict the next crash point?
No. Every round is independent. This simulation does not reproduce any specific operator algorithm or provide real-world predictions.
Questions about this calculation
Is cashing out at 1.20× guaranteed?
No. Some rounds can end before 1.20×, and small returns should not be confused with a guaranteed outcome.
Does a very high recent multiplier make the next round safer?
No. Independent synthetic rounds have no memory of earlier outcomes.
When is Crash Simulator: Cashout Odds and Virtual Rounds the right tool?
Explore the chance that an independent synthetic Crash round reaches a planned auto-cashout multiplier.
How should I read the result from Crash Simulator: Cashout Odds and Virtual Rounds?
For a 2.00× target and an illustrative 97% RTP, this model uses P(reaching target) = 0.97/2 = 48.5%. The average result of short samples can vary widely.
What can Crash Simulator: Cashout Odds and Virtual Rounds not tell me?
There is no way to forecast a live operator’s next crash point from this simulator. Its distribution, cap and model RTP are not operator-specific.