Current gaps Multi Multi
How long has each number gone without being drawn, and is that long for this game?
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
- Multi Multi
- Number pool
- 80
- Selected range
- 7 most recent
- Draws in the sample
- 7
- From
- 2026-09-28T20:00:00Z
- To
- 2026-10-01T20:00:00Z
- Latest draw in the sample
- 2026-10-01T20:00:00Z
- Calculated at
- 2026-10-01T23:41:36+02:00
- Source
- Service draw archive
- Freshness
- Checking…
Current gaps of numbers
State after the latest draw of Multi Multi, computed from the full history (17,059 draws). A gap is the number of draws in which a given number was not drawn. The random model assumes that each of the 80 numbers is drawn with the same probability p = 25.00%.
Longest current gap
13
Number 46, source: history
Numbers above twice the expected gap
12
threshold: 6.0 draws, source: model
Median current gap
2.0
expected: 3.0, of 80 numbers
Note. P(G ≥ g) says how often such a gap occurs, not that it is about to end. A number that has not been drawn for a long time has exactly the same chance in the next draw as any other.
Current gaps compared with the model
Bars: observed history; dashed line: expected count from the random model.
Gap table
Sorted by the longest current gap by default. Clicking a header sorts the table. The percentile counts this number's finished gaps strictly shorter than the current one.
| Expected (model) | |||||
|---|---|---|---|---|---|
46 | 13 | 3.0 | 2.4% | 98.2% (of 4,228) | 38 (05.02.2018–25.02.2018) |
79 | 11 | 3.0 | 4.2% | 95.5% (of 4,169) | 32 (28.12.2018–13.01.2019) |
60 | 10 | 3.0 | 5.6% | 94.9% (of 4,315) | 26 (04.06.2023–17.06.2023) |
29 | 9 | 3.0 | 7.5% | 93% (of 4,285) | 30 (06.02.2011–22.02.2011) |
8 | 8 | 3.0 | 10.0% | 88.9% (of 4,148) | 38 (24.12.2005–01.02.2006) |
34 | 8 | 3.0 | 10.0% | 89.1% (of 4,210) | 24 (09.07.2020–22.07.2020) |
43 | 8 | 3.0 | 10.0% | 90.3% (of 4,294) | 30 (29.12.2008–29.01.2009) |
18 | 7 | 3.0 | 13.3% | 86.8% (of 4,287) | 30 (18.03.2018–02.04.2018) |
25 | 7 | 3.0 | 13.3% | 87% (of 4,280) | 35 (29.11.2004–04.01.2005) |
42 | 7 | 3.0 | 13.3% | 86.9% (of 4,330) | 34 (17.03.2004–21.04.2004) |
47 | 7 | 3.0 | 13.3% | 87.3% (of 4,327) | 30 (24.09.2000–25.10.2000) |
50 | 7 | 3.0 | 13.3% | 86.1% (of 4,142) | 34 (05.12.1996–06.02.1997) |
62 | 6 | 3.0 | 17.8% | 82.6% (of 4,322) | 33 (11.01.2002–14.02.2002) |
63 | 6 | 3.0 | 17.8% | 82.3% (of 4,264) | 27 (19.10.2000–16.11.2000) |
73 | 6 | 3.0 | 17.8% | 81.8% (of 4,269) | 28 (21.12.2011–05.01.2012) |
9 | 5 | 3.0 | 23.7% | 76.6% (of 4,261) | 42 (12.01.2026–03.02.2026) |
55 | 5 | 3.0 | 23.7% | 74.6% (of 4,160) | 52 (07.05.1996–09.08.1996) |
70 | 5 | 3.0 | 23.7% | 76.5% (of 4,279) | 33 (18.06.2026–05.07.2026) |
80 | 5 | 3.0 | 23.7% | 75.1% (of 4,146) | 40 (16.07.2005–26.08.2005) |
7 | 4 | 3.0 | 31.6% | 67.2% (of 4,167) | 32 (10.03.2020–26.03.2020) |
11 | 4 | 3.0 | 31.6% | 68.6% (of 4,286) | 30 (05.03.2000–05.04.2000) |
19 | 4 | 3.0 | 31.6% | 68.1% (of 4,300) | 29 (10.05.2009–09.06.2009) |
23 | 4 | 3.0 | 31.6% | 67.8% (of 4,285) | 28 (09.01.2023–24.01.2023) |
41 | 4 | 3.0 | 31.6% | 67.9% (of 4,198) | 33 (17.09.2019–04.10.2019) |
54 | 4 | 3.0 | 31.6% | 66.7% (of 4,131) | 37 (05.08.1997–06.10.1997) |
56 | 4 | 3.0 | 31.6% | 68% (of 4,236) | 28 (20.12.2015–03.01.2016) |
2 | 3 | 3.0 | 42.2% | 55.7% (of 4,172) | 35 (20.05.2019–07.06.2019) |
3 | 3 | 3.0 | 42.2% | 57% (of 4,193) | 34 (27.10.2010–14.11.2010) |
17 | 3 | 3.0 | 42.2% | 58.5% (of 4,198) | 30 (01.09.2009–16.09.2009) |
26 | 3 | 3.0 | 42.2% | 56.7% (of 4,198) | 35 (10.08.2016–28.08.2016) |
28 | 3 | 3.0 | 42.2% | 58.1% (of 4,278) | 28 (21.06.1996–12.08.1996) |
36 | 3 | 3.0 | 42.2% | 57.3% (of 4,317) | 30 (04.06.2019–20.06.2019) |
38 | 3 | 3.0 | 42.2% | 56.9% (of 4,235) | 28 (04.09.1999–03.10.1999) |
40 | 3 | 3.0 | 42.2% | 57.8% (of 4,280) | 24 (20.03.2012–01.04.2012) |
59 | 3 | 3.0 | 42.2% | 59% (of 4,321) | 36 (15.07.1996–19.09.1996) |
71 | 3 | 3.0 | 42.2% | 56.6% (of 4,241) | 33 (20.06.2016–07.07.2016) |
75 | 3 | 3.0 | 42.2% | 56.6% (of 4,288) | 28 (09.04.2005–08.05.2005) |
77 | 3 | 3.0 | 42.2% | 58.1% (of 4,319) | 28 (17.07.2019–31.07.2019) |
12 | 2 | 3.0 | 56.3% | 43.9% (of 4,251) | 36 (27.12.2014–15.01.2015) |
15 | 2 | 3.0 | 56.3% | 43.7% (of 4,259) | 32 (28.03.2024–14.04.2024) |
16 | 2 | 3.0 | 56.3% | 44.4% (of 4,279) | 28 (02.10.2023–17.10.2023) |
20 | 2 | 3.0 | 56.3% | 45.1% (of 4,414) | 27 (09.08.2004–06.09.2004) |
53 | 2 | 3.0 | 56.3% | 45.2% (of 4,286) | 29 (30.05.2000–29.06.2000) |
58 | 2 | 3.0 | 56.3% | 43.9% (of 4,196) | 34 (18.06.1996–20.08.1996) |
61 | 2 | 3.0 | 56.3% | 43.5% (of 4,172) | 41 (04.04.2021–25.04.2021) |
69 | 2 | 3.0 | 56.3% | 43.5% (of 4,246) | 33 (02.07.2009–19.07.2009) |
74 | 2 | 3.0 | 56.3% | 45.1% (of 4,416) | 29 (11.09.2011–26.09.2011) |
4 | 1 | 3.0 | 75.0% | 24.4% (of 4,276) | 42 (09.11.2019–01.12.2019) |
6 | 1 | 3.0 | 75.0% | 24.9% (of 4,222) | 29 (09.10.2002–08.11.2002) |
14 | 1 | 3.0 | 75.0% | 25.4% (of 4,238) | 30 (15.02.2024–01.03.2024) |
22 | 1 | 3.0 | 75.0% | 25.2% (of 4,325) | 34 (30.09.2023–17.10.2023) |
27 | 1 | 3.0 | 75.0% | 24.9% (of 4,289) | 41 (25.08.2023–15.09.2023) |
44 | 1 | 3.0 | 75.0% | 25.4% (of 4,258) | 34 (15.06.2015–02.07.2015) |
49 | 1 | 3.0 | 75.0% | 25.8% (of 4,234) | 33 (02.10.2004–05.11.2004) |
52 | 1 | 3.0 | 75.0% | 24.7% (of 4,285) | 31 (07.06.1996–02.08.1996) |
64 | 1 | 3.0 | 75.0% | 25% (of 4,292) | 26 (01.08.2014–15.08.2014) |
65 | 1 | 3.0 | 75.0% | 26.6% (of 4,332) | 34 (02.05.2022–20.05.2022) |
66 | 1 | 3.0 | 75.0% | 24.8% (of 4,253) | 29 (09.06.2018–24.06.2018) |
67 | 1 | 3.0 | 75.0% | 26.6% (of 4,374) | 29 (28.06.2009–13.07.2009) |
78 | 1 | 3.0 | 75.0% | 24.9% (of 4,331) | 36 (04.08.1997–03.10.1997) |
1 | 0 | 3.0 | 100.0% | 0% (of 4,168) | 27 (20.03.2013–03.04.2013) |
5 | 0 | 3.0 | 100.0% | 0% (of 4,325) | 25 (13.09.2017–26.09.2017) |
10 | 0 | 3.0 | 100.0% | 0% (of 4,298) | 34 (15.08.2010–01.09.2010) |
13 | 0 | 3.0 | 100.0% | 0% (of 4,377) | 35 (31.03.2018–18.04.2018) |
21 | 0 | 3.0 | 100.0% | 0% (of 4,226) | 28 (20.12.2025–04.01.2026) |
24 | 0 | 3.0 | 100.0% | 0% (of 4,182) | 28 (20.03.2010–04.04.2010) |
30 | 0 | 3.0 | 100.0% | 0% (of 4,219) | 31 (20.05.2019–05.06.2019) |
31 | 0 | 3.0 | 100.0% | 0% (of 4,378) | 33 (08.05.2020–25.05.2020) |
32 | 0 | 3.0 | 100.0% | 0% (of 4,200) | 28 (18.05.2012–01.06.2012) |
33 | 0 | 3.0 | 100.0% | 0% (of 4,285) | 28 (26.05.2025–10.06.2025) |
35 | 0 | 3.0 | 100.0% | 0% (of 4,338) | 27 (07.06.2013–21.06.2013) |
37 | 0 | 3.0 | 100.0% | 0% (of 4,369) | 34 (29.02.2016–18.03.2016) |
39 | 0 | 3.0 | 100.0% | 0% (of 4,238) | 32 (08.11.2005–11.12.2005) |
45 | 0 | 3.0 | 100.0% | 0% (of 4,272) | 32 (03.01.2003–05.02.2003) |
48 | 0 | 3.0 | 100.0% | 0% (of 4,309) | 35 (17.08.2021–04.09.2021) |
51 | 0 | 3.0 | 100.0% | 0% (of 4,162) | 37 (05.04.1996–17.06.1996) |
57 | 0 | 3.0 | 100.0% | 0% (of 4,195) | 27 (11.08.2006–08.09.2006) |
68 | 0 | 3.0 | 100.0% | 0% (of 4,362) | 29 (26.05.2014–10.06.2014) |
72 | 0 | 3.0 | 100.0% | 0% (of 4,329) | 32 (21.08.2021–06.09.2021) |
76 | 0 | 3.0 | 100.0% | 0% (of 4,281) | 29 (26.11.1996–20.01.1997) |
Method and source
Source: full history of draws (17,059 draws). The current gap is right-censored — it is unknown when it ends, so it enters neither the distribution of finished gaps nor the percentile.
Model: each number is drawn with probability p = 20/80 ≈ 25.00%. The gap between hits then follows a geometric distribution: P(G ≥ g) = (1 − p)g, and the expected gap length is (1 − p)/p = 3.0. P(G ≥ g) describes a single, pre-selected number. The longest gap among 80 numbers is extreme by definition, so its low P does not mean a departure from the model — with that many numbers one of them always had the longest gap.
The percentile is the share of a number's finished gaps strictly shorter than the current one. With few finished gaps this describes a handful of observations, not a test. This page runs no significance tests: gaps of different numbers in the same draws are not independent and a naive pooled test would understate the p-value.
Selection draft — Multi Multi
Numbers picked in the analyses of this game. The draft stays in this browser until you save it to My selections. Watching a number does not add it to the draft.
Changing the target does not remove picked numbers.
The draft is empty. Add numbers with the “To draft” button next to a number in an analysis, or pick one below.
The draft describes your pick based on historical data. It is not a recommendation or a lottery ticket.
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?
- The longest current gap belonged to number 46: 13 draws without a hit (history, N = 17,059). In the random model a gap at least this long occurred with probability 2.4% for a single number. Of its own finished gaps, 98.2% were shorter (out of 4,228 gaps).
- 12 of 80 numbers had a current gap longer than twice the expected one (3.0 draws, model).
- The median current gap was 2.0 draws versus an expected 3.0 in the model. None of these figures says anything about the next draw.
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?
- Read in the table how many draws have passed since each number was last drawn.
- Compare this gap with the model expectation and with the number's own history (percentile).
- Click a column header to sort the table by another measure.
- Check the record: the number's longest finished gap and when it lasted.
What this page does not do: does not point to numbers to play — a long gap does not raise the chance in the next draw.