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Home›Tools›Crash Auto-Cashout Calculator
Free Tool · Updated Jul 2026

CRASH AUTO-CASHOUT CALCULATOR

Enter your target multiplier, stake and house edge to see win probability, expected value, variance and risk of ruin — and watch the math prove the EV is identical at every cashout target.

AM
Built by Alex Mercer · Crypto-casino analyst
Independent, data-led tool — see our methodology · Last updated
Enter Your Crash Settings
The multiplier where your auto-cashout triggers. Must be above 1.00.
Most provably fair crash games run a 1% house edge.
Results
Win Probability / Round 49.50%
Profit If You Win +$1.00
Expected Value / Round -$0.01
Expected Return (% of stake) 99.00%
Std Dev / Round (volatility) $1.00
Expected Loss Over 200 Rounds -$2.00
Risk of Ruin (bankroll → $0) 0.0%

⚠ The "Optimal Multiplier" Myth

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SAME EV, DIFFERENT VARIANCE

Every target below is computed at your current house edge. Notice the expected return never changes — only the win rate and volatility do.

Cashout TargetWin Prob / RoundProfit If WinExpected ReturnEV / RoundVolatility (Std Dev)

How The Crash Auto-Cashout Calculator Works

Crash is the purest math game in the crypto casino. A multiplier climbs from 1.00× and "crashes" at a random point; if your auto-cashout target is reached before the crash, you win that multiple of your stake, and if the game crashes first you lose the stake. Because the outcome is generated by a published, verifiable algorithm, the crash point distribution is known exactly — which means we can calculate your odds to the decimal. That is the whole point of a provably fair game: nothing is hidden, so nothing has to be guessed.

This calculator takes your four inputs — target multiplier, stake, house edge and number of rounds — and returns the four numbers that actually matter: your per-round win probability, your expected value, your volatility (standard deviation), and your risk of ruin across the session. Everything updates live as you type. The headline finding, which surprises almost everyone, is that the expected value does not change when you change your target.

The Win-Probability Formula

In a standard crash game with house edge h, the probability that the round reaches at least a multiplier of m — i.e. the probability your auto-cashout at m succeeds — is:

P(reach m) = (1 − h) / m
Example: h = 1% (0.01), target m = 2.00 → P = 0.99 / 2 = 0.495 = 49.5%

This single equation explains the entire game. A 2× target hits roughly half the time, a 10× target hits about one round in ten, and a 100× target hits about once in a hundred. The factor of (1 − h) in the numerator is the casino's edge: in a theoretical zero-edge game the probability would be exactly 1/m, and the house edge simply shaves that down by 1%.

Why Every Cashout Target Has The Same EV

Here is the honesty play that the "pick the perfect multiplier" YouTubers will not tell you. Your expected value per round is the probability of winning times the profit when you win, minus the probability of losing times your stake. Plug in the formula above with stake S:

EV = P(reach m) × (m − 1)S − (1 − P(reach m)) × S
EV = [(1 − h)/m] × (m − 1)S − [1 − (1 − h)/m] × S

Expand it and the multiplier m cancels out completely:

EV = (1 − h)·S − S = −h · S
The target multiplier vanishes. EV depends only on house edge and stake.

Read that result again: your expected loss per round is simply the house edge times your stake, no matter which target you choose. A 1.10× "safe" target and a 1,000× "moonshot" target return the exact same expected value over the long run — a loss equal to 1% of everything you wager (at a 1% edge). There is no magic multiplier, no sweet spot, no exploitable pattern. Any tool, video or "strategy" claiming to find the optimal crash multiplier for profit is selling a mathematical impossibility. You can verify this yourself by changing the target in the calculator above and watching the "Expected Return" line stay frozen at (1 − h).

The bottom line: Cashout target controls variance, not edge. Lower targets give you frequent small wins and a smooth ride; higher targets give you rare huge wins and brutal losing streaks. The long-run cost is identical. Choose your target based on how much volatility you can stomach — never because you think one number "pays better."

Variance & Volatility

If the EV is fixed, what does the multiplier actually change? Variance. The standard deviation of your per-round result grows roughly in proportion to your target. A higher target means most rounds lose and the occasional win is enormous, which produces a wide, lumpy distribution of outcomes. The calculator reports the per-round standard deviation so you can see this directly: push the target from 2× to 50× and watch volatility explode while the EV line does not move.

Variance is not your friend. The same swings that occasionally hand you a 100× screenshot are the swings that wipe out bankrolls. This is why two players using the identical game and the identical edge can have wildly different experiences — one grinds 1.5× and slowly bleeds the house edge, the other chases 100× and either goes bust in an afternoon or gets a one-time spike. Both have the same negative expectation; only their risk profiles differ.

Risk Of Ruin Explained

Risk of ruin is the probability your bankroll reaches zero before you complete your planned number of rounds. Our calculator estimates it with a Monte Carlo simulation — it plays out thousands of identical sessions using your exact inputs and counts how many go broke. This is more accurate than a closed-form approximation for high-multiplier play, where outcomes are extremely skewed.

Two levers drive risk of ruin upward:

  • Stake relative to bankroll. Betting 10% of your bankroll per round is far more dangerous than betting 1%. Small bets buy you survival time.
  • Target multiplier. High targets create long droughts between wins. A 50× target can easily go 100+ rounds without a single hit — and if your bankroll cannot absorb that drought, you are out before the win ever lands.

For deeper bankroll planning across multiple sessions, pair this tool with our crypto gambling bankroll calculator, which sizes your bets for a target session length. And if you want to confirm the house edge a specific game is really charging, run it through the house edge calculator first.

How To Use The Results Responsibly

This calculator exists to remove illusions, not to help you "beat" crash — because crash cannot be beaten over the long run. Every result it shows you is a negative-EV proposition; the house edge guarantees it. What the tool can do is help you understand exactly how much you are statistically expected to lose, and how likely a given session is to bust, so you can set sane limits before you play.

Use it to pick a target whose variance matches your tolerance, a stake that keeps your risk of ruin low, and a session length you can walk away from. Then treat any losses as the price of entertainment, not an investment. If gambling stops being fun or starts costing more than you can afford, step back — see our responsible gambling resources. When you are ready to play, our list of best crypto casinos only features sites whose crash games we have independently verified as provably fair.

Inputs & outputs at a glance

  • Target multiplier — sets win probability (1 − h)/m and your variance. Does not affect EV.
  • Stake — scales every dollar figure linearly. Your expected loss is exactly h × stake per round.
  • House edge — the only lever that changes your edge. 1% is standard; a 2% game costs you twice as much.
  • Rounds & bankroll — drive the expected total loss and the Monte Carlo risk-of-ruin estimate.
FREQUENTLY ASKED QUESTIONS
No. In a provably fair crash game the expected value is identical for every cashout target. The probability of reaching a multiplier of m is (1 − house edge) / m, and the payout is m, so the expected return is always (1 − house edge) times your stake no matter which target you pick. A 1.5× target and a 100× target both return the same expected value over the long run. The only thing that changes is variance, so there is no mathematically optimal multiplier that beats the house edge.
For a target multiplier m, the probability the round reaches at least m (so your auto-cashout triggers) is (1 − house edge) divided by m. With a 1% house edge, a 2× target wins about 49.5% of the time (0.99 / 2), a 10× target wins about 9.9% of the time (0.99 / 10), and a 100× target wins about 0.99% of the time. This calculator computes that figure live from your inputs.
Risk of ruin is the probability your bankroll hits zero before you finish your planned number of rounds. It rises sharply as your stake grows relative to your bankroll and as your target multiplier increases, because high multipliers produce long losing streaks. Our calculator estimates risk of ruin with a Monte Carlo simulation that plays out thousands of identical sessions and counts how many bust.
Higher multipliers pay out rarely but large, so a single win can dwarf many losses, which creates the illusion of a winning strategy. That is variance, not edge. The same variance that produces the occasional big win also produces long droughts that bust bankrolls. Over enough rounds every target converges to the same expected loss equal to the house edge times total amount wagered.
No. Auto-cashout simply executes your chosen multiplier mechanically without human reaction delay, which removes the small slippage you suffer when cashing out manually. It does not change the underlying math. Your expected value is still (1 − house edge) times stake per round regardless of whether you cash out by hand or automatically.
No. No staking system changes expected value, because each round is independent and already carries the house edge. Martingale and similar progressions rearrange when you win and lose, raising the chance of small wins while exposing you to rare catastrophic losses. The expected value of the whole session stays negative and equal to the house edge times total wagered. Systems change the shape of the risk, never the long-run edge.