Shuffle Dice
Shuffle Dice offers a clean, minimal provably-fair implementation. No public API in the current version limits bet throughput for serious session play, but the math-rounded denomination is unusually honest and the interface is among the fastest loading of any crypto dice platform.
- RTP
- 99% 1% house edge
- Max bet
- $20,000 $250,000 win cap
- Min bet
- $0.001 min multiplier 0.9901
- Speed
- ~240 / min Turbo on runs 4 bets/sec (~240/min), Turbo off 2 bets/sec. The fastest autobet of the six. No public API.
- Session cap
- None found None observed in testing
Run it on Shuffle numbers
simulator, this game’s limits preloadedNo session yet
- Final balance where the session ended
- Net profit against your starting bankroll
- Total wagered what the edge is charged on
- Max drawdown deepest peak-to-trough dip
- Rakeback earned on this run’s turnover
- Net incl. rakeback profit plus rakeback
- Longest streaks best win · loss run
Illustrative RNG simulation — every run is a fresh random session, not a prediction or a profit guarantee. Payout multipliers are rounded the way each casino’s own panel displays them: that is a model of what the panel shows, measured in-account, and not a rounding we have confirmed against a settled bet.
Strong for
- The most expressive builder of the six: unlimited condition blocks, streak and balance/profit triggers, flat Add to / Subtract from bet amount, win-chance actions and an over/under switch.
- Turbo runs 4 bets a second, about 240 a minute — the fastest sustained autobet of the six, ahead of Stake's 3 a second.
- Multiplier and win chance both round half-up, at 4 and 2 decimals. BC.Game is the only one of the six that floors, so there is no rounding drift to model here.
- Four named presets that can be created, saved and deleted — Martingale, Delayed Martingale, Paroli, D'Alembert — plus hotkeys.
Limitations
- The smallest limits of the six: $20,000 table max and $250,000 max profit per bet, against Duelbits' $50,000 / $1,000,000, and the profit cap binds above about 13.5x. The minimum multiplier is 0.9901 as well, the only sub-1.00 in the lineup, so a win at the bottom of the range returns less than the stake.
- Autobet drops to about 0.5 bets a second whenever the browser window loses focus. An unattended run therefore goes eight times slower than the 4 a second it manages in the foreground.
- The shipped D'Alembert preset is inverted: it adds to the bet on a win and subtracts on a loss, so a reader loading it by name is running Contra D'Alembert.
- The rakeback percentage is published nowhere — not the help centre, not the logged-in VIP page — and support declined to state it, so Shuffle carries the full $10.00 per $1,000 against $7.43 at Duelbits.
Full criteria
23 tested parameters · 4 groupsStrategies that work here
priced against this game’s limitsBet flat, high-volume, tiny-edge wagers purely to harvest instant, daily, and VIP rakeback. The rakeback — not the dice outcome — is the positive-EV engine. The only consistently profitable long-run approach.
$10.00edge cost per $1,000 Grind (Green) WorksTiny-edge autobet sessions that target a small profit ceiling and stop. The edge comes from rounding quirks and rakeback, not the raw dice probability.
7.4editor rating D’Alembert WorksAdd one unit after a loss, subtract one after a win. Far gentler than Martingale — drawdowns grow linearly, not exponentially — but recovery is also much slower.
6.8editor rating Martingale WorksDouble your bet after every loss to recover all prior losses plus one unit. Simple in theory, devastating in practice: a 7-step losing streak at 1x base risks 128 units to win one.
4.5editor ratingFastest autobet and the deepest builder, on the smallest limits
Rounding is to nearest and the limit table came from support in writing, so there is little guesswork here. What holds Shuffle back is the size of those limits — $20,000 a bet, the smallest of the six — and a rakeback rate nobody will state.
Rating 8.1Multiplier and chance both round to the nearest value, at 4 and 2 decimals. Rounding goes both ways, so there is no systematic gap between the figure shown and the figure used.
Measured in client · 20 Jun 2026