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Aviator simulator & provably-fair round verifier

Two genuine, math-correct tools that run entirely in your browser. The simulator proves no cashout target beats the house edge; the verifier shows how a finished round is checked — the reason prediction beforehand is impossible.

Key facts

  • Both tools run in your browser with the Web Crypto API; nothing is sent to a server, no account is needed and the simulator handles up to 200,000 rounds per run.
  • The simulator's default RTP is 0.97, Aviator's published figure (Spribe, restated on Tuttosport's Aviator page updated 1 October 2026; read 6 October 2026), so a 2× target wins 48.5% of rounds and a 10× target 9.7%.
  • Whatever target you set, realised RTP converges toward 97% as rounds accumulate; expected value is −3% at 1.5×, 2× and 10× alike.
  • The verifier performs two checks: SHA-256 of the revealed server seed against the pre-round commitment, then SHA-512 of server seed + three client seeds + nonce, taking the first 13 hex characters to derive the multiplier.
  • Only the SHA-256 commitment check is security-critical; a multiplier mismatch with a passing commitment is almost always an encoding or rounding difference, not tampering.

Updated 6 October 2026.

Set a target multiplier and run thousands of provably-fair rounds. Watch your realised RTP converge toward the house figure — proving no target beats the edge.

2.00x
Cash out automatically at this multiplier.
Up to 200,000.
97%
Default 0.97 (Aviator's published RTP).

How likely is each Aviator cashout target?

The chance of the multiplier reaching at least a target X is P = 0.97 ÷ X, so 1.5× is reached in 64.7% of rounds, 2× in 48.5% and 10× in 9.7%. Higher targets pay more but hit less often, and the two effects cancel exactly, so expected value stays at −3% at every target. The table uses Aviator's published 97% RTP (checked 6 October 2026).

Cashout target XChance of reaching X (RTP 0.97)Rough frequency
1.5×64.7%Very frequent; ~1 in 1.5 rounds
2×48.5%Roughly a coin-flip
3×32.3%About 1 in 3
5×19.4%About 1 in 5
10×9.7%About 1 in 10
50×1.94%About 1 in 52
100×0.97%About 1 in 103

How to read this

Around 65% of rounds reach 1.5× and the great majority stay modest, which is why low-target “grinding” feels safe — but the long-run edge is identical to swinging for 100×. Use the table to understand variance and session feel, never as a promise of profit. Want the full derivation? See our RTP & strategy guide.

How do the Aviator simulator and verifier work?

The simulator draws a uniform random number per round and sets the crash multiplier to RTP ÷ u, which reproduces the real game's distribution without touching any live feed. The verifier re-runs a finished round's cryptography: it hashes the revealed server seed to check the commitment, then recomputes the multiplier from the seeds and nonce.

Simulator: the round engine

For each round we draw u in (0,1] and set the crash multiplier m = RTP / u, floored to two decimals with a 1.00 minimum. If m ≥ your target you win bet × X; otherwise you lose the bet. An optional second bet settles independently against the same m, modelling the dual-bet hedge. We then report hit rate vs theory, realised RTP, streaks, the longest drought, and an equity curve.

Verifier: the two checks

Commitment: we hash the revealed server seed with SHA-256 and compare it to the pre-round hash the operator published. Result: we concatenate the server seed and the first three client seeds and nonce, hash with SHA-512, take the first 13 hex characters as h, and derive the multiplier with the standard crash formula. Both run via the browser's Web Crypto API, fully transparently.

Simulator and verifier FAQ

Is the simulator using real Aviator data?

It does not connect to any live game — that would be impossible, because results do not exist until a round runs. Instead it reproduces the exact crash maths: each round draws a uniform random number u and computes the multiplier as RTP ÷ u (floored to two decimals, minimum 1.00). This yields the correct distribution where the chance of reaching X equals RTP ÷ X. Over many rounds your realised return converges to the RTP you set, which is the whole point.

Why does every target give the same long-run return?

Expected value per round = P(win) × (X − 1) − P(lose), and with P(win) = RTP ÷ X the multiplier algebraically cancels, leaving EV = RTP − 1 = the negative house edge. A higher target pays more but hits less often by exactly the offsetting amount. The simulator makes this visible: try 1.5×, 2× and 10× over 100,000 rounds and all three converge to roughly the same RTP.

Does the verifier prove a casino cheated if the multiplier does not match?

Not on its own. The security-critical test is the SHA-256 commitment: if the revealed server seed hashes to the value the operator published before the round, the seed was fixed in advance and could not have been swapped. A multiplier mismatch with a passing commitment is almost always a formatting, encoding or rounding difference between the public model and the operator's exact implementation, not tampering.

Can I use these tools to win?

No, and that is deliberate. The simulator exists to show that no auto-cashout target and no "system" beats the −3% edge, and the verifier exists to show prediction is impossible because results are only knowable after the round. They are honesty tools, not winning tools. Both run entirely in your browser, with no sign-up and no real money.