Exact slot probabilities for 8-16 rows. Choose a board to inspect the distribution.
| Rows | Slots | One edge slot | Middle |
|---|---|---|---|
| 8 | 9 | 1 in 256 | 27.3% |
| 9 | 10 | 1 in 512 | 24.6% |
| 10 | 11 | 1 in 1,024 | 24.6% |
| 11 | 12 | 1 in 2,048 | 22.6% |
| 12 | 13 | 1 in 4,096 | 22.6% |
| 13 | 14 | 1 in 8,192 | 20.9% |
| 14 | 15 | 1 in 16,384 | 20.9% |
| 15 | 16 | 1 in 32,768 | 19.6% |
| 16 | 17 | 1 in 65,536 | 19.6% |
With an odd number of rows the two middle slots share the top value.
In the balanced Plinko model used here, slot probabilities depend on the number of rows. Each row is a 50/50 direction, so the chance of landing in slot k on an n-row board is C(n, k) / 2ⁿ - the number of paths that reach that slot divided by all possible paths. Payout tables can differ between operators. Directionally biased or other special game modes need their own model and are outside this calculation.
Plinko probabilities describe where a ball lands, while payout multipliers describe how much that landing returns. Keeping the two separate avoids a common mistake: assuming a large printed multiplier is evidence of a good chance to win it. On a balanced board, slot probabilities follow the binomial distribution and can be calculated without running a simulation.
The table above covers each supported row count. An n-row board has n + 1 slots. For any slot k, C(n,k) counts the left-and-right paths reaching it, and 2ⁿ counts all equally likely paths. Their ratio is the probability of that slot. This model applies to the normal balanced configurations supported here; a game mode with directional bias needs its own probability model.
A single edge slot and either edge are different events. Reaching the left edge requires all left turns; reaching the right edge requires all right turns. The probability of either edge is the sum of those two mutually exclusive outcomes. When a payout is printed in several slots, add the probabilities of every matching slot before calculating a session hit chance.
The calculator does this for a selected payout threshold. It includes all slots paying at least the target multiplier, rather than assuming the target only appears on an outer edge. That distinction matters when operators distribute large payouts over different sets of slots.
| Event | Chance per drop | At least once in 1,000 drops |
|---|---|---|
| One specified edge slot | 0.001526% | 1.514% |
| Either edge slot | 0.003052% | 3.006% |
| Slots 0, 1, 15 or 16 | 0.05188% | 40.485% |
A central slot can be the most frequent result and still pay less than the stake. A multiplier of 1× returns the stake before any separate fees; a multiplier below 1× is a net loss on that drop. To calculate the chance of a profitable drop, sum the probabilities of slots whose total-return multiplier is greater than 1×.
On boards with an odd row count, two central slots share the maximum probability. On boards with an even row count, there is one central slot. The individual slot values should not be mistaken for the combined probability of a group of middle slots. The 8-row, 12-row and 16-row pages show their distributions in detail.
For independent drops with a constant hit probability p, the chance of at least one hit in N drops is 1 − (1 − p)ᴺ. Multiplying p by N gives the expected number of hits, not the probability of seeing one. Expected counts can exceed one, whereas a probability cannot exceed 100%.
Neither a low observed hit count nor a long losing stretch makes a particular slot due. Session length increases exposure to both possible payouts and the house edge. Use the simulator to examine bankroll limits and the comparison to see how captured payout tables turn the same balanced slot distribution into different outcomes.