Gap distribution Mini Lotto
How long have the gaps between draws of each number typically been, and do they match the model?
What would you like to check?
Enter or load your numbers in the analyzer. The latest draw report describes the actual draw, not your selection.
Explore all statistics — guided topics
These pages describe the history of this game. They do not predict future numbers. Use the selection tool on a page to compare your own numbers.
Numbers and gaps
Start with frequency and gaps: how often each number appeared in the selected historical sample.
Draw structure
Compare sum, parity, endings and range. On a page with a selection comparison, open it to check your numbers.
Relationships and random model
Explore pairs, triples and partners, then the random model. Historical relationships do not improve future odds.
Draws and tools
Read the latest draw report for the actual drawn numbers. Use the analyzer and matching draws for your own selection.
- Game
- Mini Lotto
- Number pool
- 42
- Selected range
- 50 most recent
- Draws in the sample
- 50
- From
- 2026-08-13T20:00:00Z
- To
- 2026-10-01T20:00:00Z
- Latest draw in the sample
- 2026-10-01T20:00:00Z
- Calculated at
- 2026-10-01T23:49:28+02:00
- Source
- Service draw archive
- Freshness
- Checking…
Distribution of gap lengths
A gap is the number of draws between two hits of the same number: 0 means the number came up in the very next draw. We count only gaps completed within the range, for all 42 numbers of Mini Lotto together. Random model: each number comes up in a draw with probability p = 0,119 (5 of 42), so the gap length follows a geometric distribution.
Average gap length (N = 50 draws)
7,1
model (1−p)/p: 7,4
Median and longest gap in the range
5 / 45
source: history, gaps completed within the range
Completed gaps in the range
250
each number adds one gap for every hit after the first
Gaps by bucket — history alongside the model
Observed = how many completed gaps had a length from the bucket. % model = the bucket's mass in the geometric distribution. The difference in percentage points describes a discrepancy, it is not a significance test.
| gap length | observed | % history | % model | difference (p.p.) |
|---|---|---|---|---|
| 0 | 26 | 10,4% | 11,9% | −1,5 |
| 1 | 36 | 14,4% | 10,5% | +3,9 |
| 2 | 21 | 8,4% | 9,2% | −0,8 |
| 3 | 14 | 5,6% | 8,1% | −2,5 |
| 4–5 | 32 | 12,8% | 13,5% | −0,7 |
| 6–8 | 41 | 16,4% | 14,8% | +1,6 |
| 9–12 | 34 | 13,6% | 12,7% | +0,9 |
| 13–20 | 32 | 12,8% | 12,3% | +0,5 |
| 21+ | 14 | 5,6% | 7,0% | −1,4 |
How we calculate this
For each number we record how many draws passed between its consecutive hits and sum those gaps into one histogram. The model assumes independent draws: P(G = g) = p·(1−p)g, hence P(G ≥ g) = (1−p)g, and the expected gap length is (1−p)/p. The model share of a from–to bucket is (1−p)od − (1−p)to+1, and for the "21+" bucket — (1−p)21. The histogram merges observations of different numbers from the same draws, so they depend on one another — for that reason we show no p-value and no significance flags, only a descriptive difference. A gap still running at the time of computation does not enter the table, because we do not know its end.
Interactive tools
Explore the same data actively. The tools describe history and the random model; they do not predict the next result.
My selection — check its properties against history
This describes the entered selection and its position in the historical sample. It does not increase its chance.
History player — move through past draws
Choose a year, use the slider or start automatic playback. This is a presentation of recorded results, not a forecast.
Open the module to load the available years.
Random-model simulator — see ordinary random variation
Generate independent draws with the rules of this game and compare observed counts with the common expected value. Every run is different.
What do these numbers show?
- In 50 draws 250 gaps were completed. The average gap length was 7,1 draws, and the geometric model gives 7,4 — a difference of 0,3 draws (a descriptive comparison, not a test result).
- The bucket that departed most from the model was “1”: 14,4% of completed gaps in history against 10,5% in the model, that is +3,9 pp. The gaps of different numbers counted together are not independent, so we give no test result here.
- The longest completed gap in this range ran for 45 draws, the median was 5 (N = 50, source: history).
These are historical data. Each draw is independent of previous draws, so these numbers do not tell us what will be drawn next.
How do I use this page?
- Choose a number of recent draws in the range selector.
- Compare the average gap length from history with the model value (1−p)/p.
- In the table, check in which buckets the share of gaps from history differed from the model.
- Read a difference in percentage points as a description, not a test — the gaps of different numbers depend on one another.
What this page does not do: it does not point to numbers to play and does not predict when a running gap will end.