Draw sum Multi Multi
Which sum comes up most often, and was the latest draw typical?
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
- 100 most recent
- Draws in the sample
- 100
- From
- 2026-08-13T12:00:00Z
- To
- 2026-10-01T20:00:00Z
- Latest draw in the sample
- 2026-10-01T20:00:00Z
- Calculated at
- 2026-10-01T22:46:37+02:00
- Source
- Service draw archive
- Freshness
- Checking…
Sum of numbers in a draw
Sum of all 20 drawn numbers. The random model gives an exact distribution of this sum for Multi Multi — calculated from all possible combinations, not from a simulation.
Average sum in the range (N = 100)
811.7
model: 810
Sum of the last draw
728
historical percentile: 13%
· model: 18.1%
Range of possible sums in this game
210–1410
in the range, sums from 600 to 1072
Histogram of sums in the range
Horizontal axis: draw sum. Vertical axis: number of hits, i.e. how many times this sum occurred in 100 draws.
Bars in the game colour: observed history; solid line: random model; dashed vertical marker: latest result.
The chart shows the range loaded when the page opened. Current data for the selected range is in the tables below.
Most frequent sums in the range
Observed = how many times the sum occurred in N draws. Expected = N × probability of this sum in the model.
| sum | observed | % of draws | expected |
|---|---|---|---|
| 812 | 4 | 4.0% | 0.4 |
| 849 | 3 | 3.0% | 0.4 |
| 751 | 2 | 2.0% | 0.4 |
| 770 | 2 | 2.0% | 0.4 |
| 786 | 2 | 2.0% | 0.4 |
| 796 | 2 | 2.0% | 0.4 |
| 804 | 2 | 2.0% | 0.4 |
| 814 | 2 | 2.0% | 0.4 |
| 825 | 2 | 2.0% | 0.4 |
| 842 | 2 | 2.0% | 0.4 |
Distribution of sums by interval
History next to the model, in intervals of twelve sum points each. The table shows the number of draws and the model share in each interval.
| interval | observed | % history | % model |
|---|---|---|---|
| 600–611 | 1 | 1.0% | 0.4% |
| 612–623 | 1 | 1.0% | 0.5% |
| 624–635 | 1 | 1.0% | 0.7% |
| 636–647 | 1 | 1.0% | 0.9% |
| 648–659 | 0 | 0.0% | 1.2% |
| 660–671 | 1 | 1.0% | 1.5% |
| 672–683 | 2 | 2.0% | 1.8% |
| 684–695 | 2 | 2.0% | 2.2% |
| 696–707 | 1 | 1.0% | 2.6% |
| 708–719 | 2 | 2.0% | 3.0% |
| 720–731 | 3 | 3.0% | 3.4% |
| 732–743 | 5 | 5.0% | 3.8% |
| 744–755 | 5 | 5.0% | 4.2% |
| 756–767 | 4 | 4.0% | 4.6% |
| 768–779 | 6 | 6.0% | 4.9% |
| 780–791 | 6 | 6.0% | 5.1% |
| 792–803 | 4 | 4.0% | 5.2% |
| 804–815 | 10 | 10.0% | 5.3% |
| 816–827 | 3 | 3.0% | 5.2% |
| 828–839 | 2 | 2.0% | 5.1% |
| 840–851 | 11 | 11.0% | 4.9% |
| 852–863 | 6 | 6.0% | 4.6% |
| 864–875 | 6 | 6.0% | 4.3% |
| 876–887 | 0 | 0.0% | 3.9% |
| 888–899 | 2 | 2.0% | 3.5% |
| 900–911 | 2 | 2.0% | 3.0% |
| 912–923 | 4 | 4.0% | 2.6% |
| 924–935 | 1 | 1.0% | 2.2% |
| 936–947 | 2 | 2.0% | 1.9% |
| 948–959 | 0 | 0.0% | 1.5% |
| 960–971 | 2 | 2.0% | 1.2% |
| 972–983 | 2 | 2.0% | 1.0% |
| 984–995 | 0 | 0.0% | 0.7% |
| 996–1007 | 0 | 0.0% | 0.6% |
| 1008–1019 | 0 | 0.0% | 0.4% |
| 1020–1031 | 0 | 0.0% | 0.3% |
| 1032–1043 | 0 | 0.0% | 0.2% |
| 1044–1055 | 1 | 1.0% | 0.2% |
| 1056–1067 | 0 | 0.0% | 0.1% |
| 1068–1072 | 1 | 1.0% | 0.0% |
Does the sum depend on previous draws
Autocorrelation of sums for lags of 1–3 draws, calculated in the range (100 draws). A value outside ±0.196 would be unusual for a sequence of independent draws.
| lag | correlation |
|---|---|
| 1 draw | -0.041 |
| 2 draws | 0.0243 |
| 3 draws | -0.083 |
The coefficients describe the relationship between sums separated by 1–3 draws. No detected dependence does not prove independence.
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 average sum across 100 draws is 811.7, while the model gives 810 — a difference of 1.7, with a model standard deviation of 90.
- The last sum, 728, is at percentile 18.1 of the model: this percentage of possible combinations has a smaller sum.
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 the number of recent draws or a range of years.
- Compare the historical average sum with the model average.
- Use the tables to check how often each sum occurred.
- The percentile tells you what percentage of sums is smaller than the specified value.
What this page does not do: does not predict future results or increase the chance of winning.