Stake Crash vs Shuffle Crash — live stats, RTP & head-to-head data
Stake Crash vs Shuffle Crash: side-by-side live stats, RTP and biggest wins. Free tracker, no signup.
Recent multiplier distribution
Stake Crash: 500 rounds · Crash: 500 rounds| Stake Crash | Crash | |
|---|---|---|
| Median multiplier | 1.96× | 1.93× |
| Rounds ≥ 2× | 48.2% | 47.6% |
| Rounds ≥ 10× | 9.4% | 9.2% |
| Rounds ≥ 100× | 0.80% | 0.20% |
| Highest seen | 5602.36× | 1533.72× |
Stake Crash vs Shuffle Crash
Both are provably-fair crash-style games. Stake Crash is Stake's in-house provably-fair crash, ~99% RTP with snappy cash-outs. Shuffle Crash is Shuffle's crash, GraphQL-fed with ~15–20s rounds.
Each runs on an independent provably-fair seed chain, so results on one have no bearing on the other — comparing them shows the real shape of the data, it doesn't predict the next round.
What the live data shows
The side-by-side panel above pulls the recent multiplier distribution — median, the share of rounds ≥2× / ≥10× / ≥100×, and the highest seen. Differences over a short window are sampling variance, not a structural edge — they converge over enough rounds.
No predictions
These are RNG outputs, not signals. No strategy (Martingale, "wait for a 2×", "the wheel is cold") beats the house edge over time. Use the data for transparency, not as a forecast.
Frequently asked
- Are Stake Crash and Shuffle Crash the same game?
- No. Both are provably-fair crash-style games but with separate implementations/RNG, so their results are independent.
- Which has the better RTP, Stake Crash or Shuffle Crash?
- They publish very close RTPs for the same category; differences in short-run observed RTP are variance, not a structural edge.