Roobet Crash vs Shuffle Crash — stats live, RTP & comparatif direct
Roobet Crash vs Shuffle Crash: stats live côte à côte, RTP et plus gros gains. Tracker gratuit, sans inscription.
Distribution récente des multiplicateurs
Roobet Crash: 500 manches · Crash: 500 manches| Roobet Crash | Crash | |
|---|---|---|
| Multiplicateur médian | 1.88× | 1.90× |
| Manches ≥ 2× | 45.8% | 47.0% |
| Manches ≥ 10× | 8.2% | 10.0% |
| Manches ≥ 100× | 0.80% | 1.60% |
| Plus haut vu | 1280.93× | 4445.92× |
Roobet Crash vs Shuffle Crash
Both are provably-fair crash-style games. Roobet Crash is Roobet's hash-chain crash with independent seeds. 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.
Questions fréquentes
- Are Roobet 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, Roobet 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.