This tester runs any crash autobet plan through thousands of simulated sessions and shows how often it goes bust, how often it finishes up, and what it costs on average. Pick Flat, Martingale, Paroli, D’Alembert or Fibonacci, change any setting, and compare. Whatever the plan, the average loss lands close to the house edge times the total amount you bet.
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Pick a betting plan, change any setting, and test it over thousands of sessions. The higher you set the cash out, the less often you win. At 2x you win just under half your rounds, and a win doubles your bet.
Settings changed. Press Run the test to update these results.
finished up finished down went bust starting bankroll
A session counts as bust when the money left cannot cover the starting bet. If the next bet is bigger than what is left, the tester bets what is left. Results change from run to run. The cost of the house edge does not.
🔢 Flat betting shows the plain cost of the game
Run the Flat plan first, because it shows the cost of the game with nothing added: at a 1% edge you lose about 1% of everything you bet. With a $1 bet for 500 rounds you put $500 through the game, so the expected loss is $5 a session.
Over 200,000 simulated Flat sessions ($100 bankroll, $1 bet, cash out at 2x, 1% edge) the average loss was $4.86 against $5.00 expected. At a 3% edge it was $14.84 against $15, and at 4% it was $19.85 against $20.
💡 The sum to remember
Average result = −(house edge × total amount bet). Every number in the tester follows from this. A plan can change how much you bet and when, but it cannot change the price of each bet.
📊 How the five plans compared over 200,000 sessions
All five plans lost about 1% of what they bet; the big difference between them was how often they went bust. These figures come from 200,000 sessions of each plan with the tool’s default settings: $100 bankroll, $1 base bet, cash out at 2x, 1% edge, $100 max bet, 500 rounds per session. The tool runs 2,000 sessions, so its own figures will differ a little each time you press Run.
Each plan’s loss tracks the amount it bet. D’Alembert lost the most because it bet the most: about $1,977 per session, against $500 for Flat. One percent of $1,977 is $19.77, close to the $19.11 it lost. The Martingale bet about twice as much as Flat and lost about twice as much.
🧮 At 2x and a 1% edge you win 49.5% of rounds
At 2x and a 1% edge each round wins 49.5% of the time, because the tester sets the win chance to (1 − edge) ÷ target and pays bet × (target − 1) on a win. That is a 49.5% chance to win $1 for each $1 bet, against a 50.5% chance to lose it. The average result of that bet is 0.495 − 0.505 = −1 cent.
The same sum holds at any target. At 10x with a 3% edge you win 9.7% of the time and collect 9 times your bet: 0.097 × 9 − 0.903 = −0.03.
🎯 A plan changes the shape of your results, not the cost
Staking plans change how your results are spread out, so the same 1% cost can look like many small wins or a few big losses. The Martingale is the clearest case. Most of its sessions climb slowly, because each losing run ends with a win of one base bet. Over 200,000 sessions, 30.3% finished up.
Then a run of seven losses arrives. With a $100 bankroll the Martingale can pay for six losses in a row ($1, $2, $4, $8, $16 and $32, or $63 in total), so the seventh bet takes the $37 that is left. If that loses too, the session is over. Over 500 rounds that run usually turns up, which is why 68.7% went bust.
Paroli does the opposite: it raises the bet only with money it has just won, and goes back to $1 after three wins. Its biggest bet is $4, so only 3.0% of sessions went bust, but it still lost about 1% of the $848 it bet. See the Anti-Martingale page for how the win streak cap works.
⚙️ Stop limits and bet caps change the odds of finishing up
A stop limit makes more sessions finish up, but it does not stop the average from being a loss. With the Martingale and a stop when up by $20, 82.1% of 200,000 sessions hit the target and quit, but 17.9% went bust first, and the average was a $1.54 loss. That loss is smaller only because these sessions bet less in total, about $145 each.
The max bet setting matters for any plan that raises the bet after losses. If your game caps bets at $100, a Martingale that starts at $5 can only double four times before it hits the cap. The house edge presets match the common games: about 1% for Stake Crash and Bustabit, 3% for Aviator, and 4% as a middle figure for Spaceman, whose edge runs from 3.5% to 5%.
The bottom line: Use the tester to pick how much risk of going bust you will accept, then treat the long run figure as the price. No setting turns that price into a profit, and a plan that bets more in total will cost more in total.
❓ Frequently asked questions
Can any autobet setting beat a crash game?
No. Every bet in a crash game has an average result of minus the edge times the bet, and adding bets together keeps that sign. Plans that look good in short runs, like the Martingale, are moving the losses into rare large hits.
How are D’Alembert and Fibonacci worked out?
In base units, not multipliers. D’Alembert adds one base bet after a loss and takes one off after a win, never going below the base. Fibonacci follows 1, 1, 2, 3, 5, 8 base units, moving one step up after a loss and two steps back after a win.
What counts as going bust?
A session is bust when the bankroll falls below the base bet, so the plan cannot place its next bet. If a planned bet is bigger than what is left, the tester bets the rest of the bankroll.
🔗 Related CrashEdge pages
- Martingale simulator: one doubling run, round by round
- Low house edge crash games: find your game’s edge
- D’Alembert in crash games: the one unit up, one unit down system
- Fibonacci in crash games: the number sequence staking plan
- Flat betting: why the same stake every round keeps swings small
- Martingale in crash games: why doubling up fails
- Crash gambling maths: where the win chances come from
👉 Keep going
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