Limbo Win Chance Table: Target and Return
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Limbo reverses the usual odds question: choose a target multiplier first, then ask how often a theoretical result reaches it. This table uses a continuous model with an explicitly assumed edge.
Targets span modest returns and rare high-multiplier outcomes. The probabilities are expectations under the model, not estimates made from a history of rounds or a forecast of the next result.
Probability and return table
Assumes a 1% edge (99% RTP) in a continuous model without rounding. This is not a claim about Mint.
| Target | Win chance |
|---|---|
| 1.01× | 98.01980198% |
| 1.5× | 66% |
| 2× | 49.5% |
| 3× | 33% |
| 5× | 19.8% |
| 10× | 9.9% |
| 20× | 4.95% |
| 50× | 1.98% |
| 100× | 0.99% |
| 1,000× | 0.099% |
How the values are calculated
In this continuous model, P(result ≥ target) = (1 − h)/target, with h = 0.01. The multiplier is a gross return including the stake. Limits and rounding in an actual game can change these values.
Reproducible arithmetic: GitHub: payout-audit. Values are generated at build time using the tools’ shared math module.
Interpreting this configuration
Multiplying the target by the win probability gives the same assumed RTP throughout the table. A larger target stretches the distribution rather than improving expected return. In particular, an average waiting time is not a deadline: repeated misses do not make an independent next round more likely to succeed.
Calculators and related reading
18+ · These results do not predict a round or guarantee a profit. Do not chase losses; only gamble money you can afford to lose. Help and limits.
See what a staking level needs, with example numbers.
Frequently asked questions
Which edge does the Limbo table use?
It assumes 1% purely as an illustration. It does not represent any operator’s payout or rounding rules.
Do many misses make a hit more likely?
No, when rounds are independent the next attempt has the same probability.
Does this match every Limbo game?
No. The continuous model omits rounding, limits and implementation variants. Check the game’s published formula.
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