D'Alembert strategy in crash games: how it works and how it tests

By · Last updated October 31, 2026

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On this page
  1. D’Alembert, step by step
  2. What 10,000 sessions show
  3. D’Alembert vs Martingale
  4. How to play it smarter
  5. Try D’Alembert

The D’Alembert strategy in crash games is simple: add one unit to your bet after a loss, take one unit off after a win, and cash out at 2x every round. It’s the gentle cousin of Martingale: instead of doubling, your stake climbs one step at a time, so a cold run doesn’t explode your bet size. The idea is that wins and losses roughly balance out, and each win at a higher stake recovers more. It doesn’t change the 97% RTP, though, and our 10,000-session test shows exactly what it does to a session. Part of our crash game strategy guide.

D’Alembert, step by step

With a $10 unit and a 2x cash out:

Round Bet Result Balance change
1 $10 Loss −$10
2 $20 Loss −$30
3 $30 Loss −$60
4 $40 Win −$20
5 $30 Win +$10

Three losses and two wins, and you’re up $10. That’s the appeal: after an equal number of wins and losses, D’Alembert shows a profit. The catch is that at 48.5% per round, losses slightly outnumber wins over time.

What 10,000 sessions show

$500 budget, $10 units, 2x cash out, 100 rounds. Median finish $70; the best 10% finished on $1,010 or more; 48.8% ran out of money. The average session wagered $3,325 in total, more than three times flat betting’s $1,000, and since each $ wagered costs about 3 cents on average, that’s where the money goes. Flat bets at 2x, for comparison, finished at a median $460 with no busts. Load both in the strategy simulator or below.

D’Alembert vs Martingale

Step by step, D’Alembert is much kinder: after five losses Martingale wants $320, D’Alembert just $60. But a choppy session can still drift your stake up for a long time. We compare the two head to head in D’Alembert vs Martingale, and the classic version is in our Martingale strategy guide.

How to play it smarter

  • Cap your stake at five units and reset if you hit the cap.
  • Keep sessions short: the longer it runs, the more the stake drifts.
  • Try the reverse: raising after wins instead, as in Anti-Martingale, keeps losses to one unit.

Our older D’Alembert and Fibonacci guide covers both systems together, and the best betting system for crash games ranks every system we tested.

Try D’Alembert

Run it in Aviator or JetX, but test it in the simulator below first. Stake Crash’s 99% RTP makes every progression a little cheaper to run.

Play smart: write your stake cap on a sticky note. D’Alembert only stays gentle if the cap is real.

Strategy simulator

Example: 1000 sessions of 100 rounds, bankroll $500, base bet $10, target 2x, 3% edge

StrategyMedian final bankrollUnlucky (10th percentile)Lucky (90th percentile)Chance of going bust
D'Alembert$310$0$1,01044.9%
Fixed bet$480$360$6000.0%

Run it a few times with different settings to find the approach that fits your bankroll and playing style.

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Frequently asked questions

What is the D’Alembert strategy?

A betting system where you raise your stake by one unit after a loss and lower it by one unit after a win, never going below one unit.

Does D’Alembert work in Aviator?

It works as a staking plan with a 2x auto cash out, and it’s gentler than Martingale step by step. It doesn’t change the 97% RTP, and in our 100-round test about half of sessions ran dry.

What target should I use with D’Alembert?

2x, because it’s built for even-money bets: each win and each loss move your balance by the same stake.

Is D’Alembert safer than Martingale?

Each step is smaller, so single streaks hurt less. But because you wager more overall, our test sessions ran dry almost as often (48.8% vs 50.2%).

How big should my D’Alembert unit be?

1% of your budget or less. Smaller units slow down the climb in stake size.

Can I cap D’Alembert?

Yes, and you should: set a maximum stake (for example 5 units) and reset to one unit if you reach it.

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Daniel Foster

By · Crash Game Maths & Mechanics Analyst

Daniel focuses on the mathematics and mechanics behind crash games. His reviews examine RTP disclosures, volatility, multipliers, game mechanics and the mathematical principles behind different crash titles.

Fact-checked by Alex Morgan

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