Martingale vs Anti-Martingale vs fixed auto-cashout at 1.20x

By · Last updated 31 October 2026

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On this page
  1. Why 1.20x?
  2. The three systems
  3. Results
  4. What the numbers say
  5. Verdict

Martingale vs Anti-Martingale vs a fixed 1.20x auto cash out: fixed 1.20x gives the smoothest ride, Martingale posts the best top-end sessions and Anti-Martingale caps every losing cycle at one base bet. This is the head-to-head comparison promised in our crash strategy pillar. We played all three at a 1.20x auto cash out with the same KSh 5,000 bankroll and KSh 100 base bet, over 10,000 simulated sessions each.

Every worked example on this page is in Kenyan shillings. The standard setup is a KSh 5,000 session bankroll and KSh 100 base bets (2%), the same ratios as our simulations. Topping up? M-Pesa is the quickest way in for most players in Kenya.

Why 1.20x?

1.20x is one of the most-searched targets because it “almost always” lands. At 97% RTP:

  • P(reach 1.20x) = 0.97 ÷ 1.2 = 80.8%
  • Profit per win: KSh 20 on a KSh 100 bet
  • Loss per miss: KSh 100

So you need five wins to cover each loss, and five wins in a row at 80.8% happen only about 34% of the time.

The three systems

  • Fixed: bet KSh 100 every round.
  • Martingale: after a loss, multiply the bet so one win recovers the loss. At 1.20x pure doubling doesn’t recover the loss (a KSh 200 bet only wins KSh 40), so true 1.20x Martingale needs ×6 escalation. Our simulator uses classic doubling, which recovers only partly at low targets. That makes the “recovery” weaker than people expect.
  • Anti-Martingale: after a win, the next bet is the full KSh 120 returned; reset after three wins or any loss.

Results

System (1.20x, 100 rounds) Median 10th pct 90th pct Bust rate
Fixed KSh 4,720 KSh 4,120 KSh 5,320 0%
Martingale (doubling) KSh 4,720 KSh 3,680 KSh 5,420 0.5%
Anti-Martingale (3-win cap) KSh 4,650 KSh 3,880 KSh 5,350 0%

Crash Game Guide simulator, 10,000 sessions each, 97% RTP, fixed seed. Run your own above or in the simulator.

What the numbers say

  1. The typical session lands in the same place because each strategy bets a similar total at the same 97% RTP. Your choice is about how the session feels.
  2. Martingale stretches both ends. Its best sessions beat flat betting (KSh 5,420 vs KSh 5,320), its rough ones dip lower (KSh 3,680 vs KSh 4,120), and a 0.5% bust rate is the price of that upside.
  3. Anti-Martingale keeps losses capped at one base bet per cycle. At 1.20x the streak bonus is modest (three wins grow a KSh 100 stake to KSh 172.80), so it shines more at 2x and above.

Verdict

At 1.20x, flat betting is the smoothest default and a great place to start. Martingale gives you the best top-end sessions: pair it with a stop loss so a rare long run of reds can’t take the whole bankroll. Want upside with every loss capped? Anti-Martingale is your pick. Read the deep dives on Martingale, Anti-Martingale and fixed cash out targets.

Strategy simulator

Example: 1000 sessions of 100 rounds, bankroll Ksh 5,000, base bet Ksh 100, target 1.2x, 3% edge

StrategyMedian final bankrollUnlucky (10th percentile)Lucky (90th percentile)Chance of going bust
Martingale (double after loss)Ksh 4,720Ksh 3,780Ksh 5,4400.2%
Fixed betKsh 4,720Ksh 4,120Ksh 5,3200.0%

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

Is 1.20x a good auto cash out?

It's a low-volatility target: it wins about 81% of rounds at 97% RTP. It isn't more profitable than any other target. Each loss cancels five wins.

Which system is best at 1.20x?

On average none of them. Flat betting has no escalation risk. Martingale smooths the median but adds rare total losses. Anti-Martingale adds upside from streaks while keeping each loss to one unit.

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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.

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