The multiplier is both the promise and the trap: it makes the payout legible and the stop impossible to optimize. Explained.
In a multiplier game, the potential payout shows as a coefficient of the stake: 1.5×, 4×, 100×. It rises while the game lasts and applies if you cash out. Legibility is total: 100 tokens at 4.07× is 407 tokens. That's what drives the success of crash games, risk ladders and some tile games.
An honest multiplier follows from the probability of reaching it. If the chance of clearing a step is p, the "fair" multiplier after n steps is 1 ÷ pn. The game keeps a share: in Pothole, the coefficient is 0.97, hence 0.97 ÷ pn and a 97% RTP. The full tables are on the Multipliers page.
| Route | Chance to clear a km | Kilometres | Km 1 | Km 3 | Km 5 | Maximum |
|---|---|---|---|---|---|---|
| Country road | 90 % | 24 | 1.08× | 1.33× | 1.64× | 12.16× |
| City street | 80 % | 18 | 1.21× | 1.89× | 2.96× | 53.85× |
| Expressway | 62 % | 12 | 1.56× | 4.07× | 10.59× | 300.66× |
Two games with the same RTP can feel very different. With p = 90%, rounds are long and multipliers modest; with p = 62%, more than one round in three ends at the first step, but every step cleared makes the payout leap. Volatility is that shape of the distribution: it changes your experience, not your expectation.
Since the expectation is the same at every step (by construction of the formula), no exit multiplier is "better" than another in the long run. Cashing out early lowers variance; cashing out late raises it. The right stop is the one that matches the fun you're after and the balance swings you accept. Setting your target before you set off, and sticking to it, remains the only discipline that matters.
Pothole, with tokens, here; and Chicken Road, for real money, at the operators we compare. See also Crash games.
It's the payout if every step clears. The probability is known: on Pothole's Country road, about 8%; on the Expressway, 0.3%.
No. It rises fast because the chance of clearing each step is lower. The expectation stays the same.
Not for expectation. Only for the variance you accept.