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Crash Game Math: The Curve, the Edge and Auto-Cashout

How crash games compute their curve, where the published edge sits, what auto-cashout does and does not change, and the bust-streak math.

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News & Analysis · odds.guru

Published Updated 3 min read
Crash Game Math: The Curve, the Edge and Auto-Cashout
How it worksIntermediate

A crash game draws one number per round — the bust point — from a distribution calibrated to the published edge. The climbing multiplier is animation; the number was set before the round began, and at provably fair implementations it is derived from a seed chain committed in advance. Understanding that single fact reorganises the whole game.

How the bust point is computed

Typical implementation: the round's hash converts to a number that maps onto a distribution where the probability the game reaches multiplier M is roughly (1 − edge) ÷ M.

| Target multiplier | Reach probability (3% edge example) |

| --- | --- |

| 1.5x | 64.7% |

| 2x | 48.5% |

| 5x | 19.4% |

| 10x | 9.7% |

| 100x | 0.97% |

If you want the math: if P(reach M) = 0.97/M, the expected value of cashing out at M is M × 0.97/M = 0.97 — a 3% edge at every target. That uniformity is the design: no cashout point is smarter than another. Many implementations add an instant-bust floor (e.g. 1 in 33 rounds bust at 1.00x) as part of reaching the same number.

What auto-cashout actually does

Sets your target before the round and executes it without you. It does not change expected value — the table above is flat — but it converts crash into a fixed-odds bet chosen deliberately, removes mid-round decisions (the place where discipline dies), and eliminates the latency risk of manual cashout. Use it always; choose the target by variance appetite, not by strategy claims.

Streaks at your target

At a 2x target you lose just over half of rounds. Per 100 rounds:

| Losing streak at 2x | Probability |

| --- | --- |

| 6 in a row | ~60% |

| 8 in a row | ~22% |

| 10 in a row | ~6% |

Stake so the routine streak cannot end the session: 1–2% units, exactly as in the blackjack bankroll framework. High targets invert the experience — long droughts, rare spikes — at the same expected cost.

Reading a crash game's fairness page

Three things to find: the published edge (1–4% across common implementations — the number varies by game and operator, so check per game), the seed-chain commitment (verifiable history anchor), and the verifier. The provably fair walkthrough covers the checking procedure; a game that hides any of the three has answered your question.

FAQ

Is there a best cashout multiplier?

No — the edge is engineered flat across targets. Low targets grind, high targets spike; expected cost per wagered dollar is identical.

Do crash strategies work?

Target-switching and stake progressions rearrange variance, never the edge. Auto-cashout at a fixed target with flat stakes is the entire defensible playbook.

What edge do crash games charge?

Published per game, commonly 1–4%. The fairness page states it; the seed math enforces it. Compare before playing — the spread between games is real money.

Can the casino make me bust early?

Not at a provably fair implementation without breaking its committed seed chain — the bust point predates your bet. Verify once and the question retires.

Why did I bust at 1.00x?

Most implementations include instant busts as part of the edge calibration (often ~1 in 30–35 rounds). It is in the published distribution, not a malfunction.

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