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Draw explorer — Lotto Lab Mini Lotto

Which past draws meet several selected conditions at the same time?

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.

Combine filters. A draw must meet every filled condition. Set B is optional and lets you compare two groups.

Filter set A

Sum
Even numbers
Low numbers
Range
History range
Compare with filter set B
Sum
Even numbers
Low numbers
Range
Clear filters
Matching draws: 500

of 500 (100%). This describes past draws and does not predict the next one.

Draws matching all filters
DateNo.NumbersSumEvenLowRange
05.12.2025747701217202127972415
04.12.20257476912212531381272226
03.12.2025747682471422494420
02.12.202574767213162834934332
01.12.20257476610222829391283129
30.11.20257476516182324351163219
29.11.2025747646113140421303236
28.11.20257476315181940832439
27.11.2025747621014162225874315
26.11.20257476134102733772330
25.11.2025747606111437391072333
24.11.2025747595123239401283235
23.11.20257475825111839752437
22.11.2025747576172937381272232
21.11.20257475612132229421183230
20.11.20257475512142425391143227
19.11.20257475459193033961328
18.11.20257475312152938411352229
17.11.20257475213141825391092326
16.11.20257475115142133741432
15.11.20257475018313536411612123
14.11.202574749311121942872439
13.11.202574748282234381045236
12.11.2025747472192126391072337
11.11.2025747462202528421174240
10.11.2025747456192436371223231
09.11.202574744114163335992334
08.11.2025747436193234371283231
07.11.202574742232936411112239
06.11.202574741392230381023235
05.11.202574740113182629872328
04.11.20257473913192831361272223
03.11.20257473856212232863327
02.11.2025747379103440421354233
01.11.20257473611272930321292121
31.10.20257473514161934391223325
30.10.20257473436122326703323
29.10.2025747339151827391081330
28.10.20257473237162237852334
27.10.20257473125202342923340
26.10.2025747307192124351061328
25.10.2025747293783033812330
24.10.20257472815152636832335
23.10.2025747279192930341212225
22.10.2025747268222930331223125
21.10.202574725613182023803417
20.10.20257472416132742892341
19.10.2025747236132425421103236
18.10.2025747226182428291054223
17.10.2025747211202829351132234

Lotto Lab: rules through history

Shared sample

N=500 · 20.05.2025 22:00 — 01.10.2026 22:00 · Main number pool only. Past similarity does not change future draw chances.

Chronological assessment

For each draw the fixed rule uses only the previous training window. The target draw is then compared with the selection. Ties use numeric order. The first 60% of steps are exploration, the remaining steps are assessment; the rule is not automatically optimized.

Changing parameters after seeing assessment results makes that period exploratory too. The benchmark is a uniformly random selection of the same number of main numbers, without replacement; no prizes or future recommendations are calculated.

PeriodNMean hitsModel expectationDates
Exploration2850.5720.59514.06.2025 22:00 — 25.03.2026 22:00
Assessment1900.5210.59526.03.2026 22:00 — 01.10.2026 22:00

Hit distribution in assessment period

HitsObserved stepsModel expected steps
010097.36
18173.76
2917.35
301.49
400.04
500.00
Inspect the last 30 steps
Target drawEarlier training IDsRule selectionHits
01.10.2026 22:00 · #109878#75045 — #109609
2
14
26
33
40
0
30.09.2026 22:00 · #109609#75044 — #109345
2
8
14
26
33
0
29.09.2026 22:00 · #109345#75043 — #109073
2
8
12
26
33
0
28.09.2026 22:00 · #109073#75042 — #108810
2
12
14
26
33
1
27.09.2026 22:00 · #108810#75041 — #108543
2
12
14
26
33
1
26.09.2026 22:00 · #108543#75040 — #106733
2
12
16
22
26
1
25.09.2026 22:00 · #106733#75039 — #106727
2
12
16
25
26
1
24.09.2026 22:00 · #106727#75038 — #106720
2
8
12
25
26
0
23.09.2026 22:00 · #106720#75037 — #106715
2
12
16
25
26
1
22.09.2026 22:00 · #106715#75036 — #106707
2
12
16
25
26
1
21.09.2026 22:00 · #106707#75035 — #106702
2
12
16
25
33
0
20.09.2026 22:00 · #106702#75034 — #106697
2
12
16
25
32
1
19.09.2026 22:00 · #106697#75033 — #106690
2
12
16
25
32
2
18.09.2026 22:00 · #106690#75032 — #106684
2
12
16
20
32
0
17.09.2026 22:00 · #106684#75031 — #106676
11
16
20
23
32
0
16.09.2026 22:00 · #106676#75030 — #106671
11
16
20
23
32
0
15.09.2026 22:00 · #106671#75029 — #106663
11
20
23
32
36
0
14.09.2026 22:00 · #106663#75028 — #106658
11
16
20
23
32
1
13.09.2026 22:00 · #106658#75027 — #106653
11
16
20
23
32
1
12.09.2026 22:00 · #106653#75026 — #106646
11
16
20
23
25
0
11.09.2026 22:00 · #106646#75025 — #69999
11
14
16
20
37
1
10.09.2026 22:00 · #69999#75024 — #66945
10
11
16
20
37
1
09.09.2026 22:00 · #66945#75023 — #75047
10
11
16
20
37
0
08.09.2026 22:00 · #75047#75022 — #75046
11
12
16
20
37
1
07.09.2026 22:00 · #75046#75021 — #75045
5
11
16
20
37
0
06.09.2026 22:00 · #75045#75020 — #75044
5
11
16
20
37
0
05.09.2026 22:00 · #75044#75019 — #75043
5
11
14
20
37
0
04.09.2026 22:00 · #75043#75018 — #75042
5
11
18
20
37
0
03.09.2026 22:00 · #75042#75017 — #75041
5
9
11
18
37
0
02.09.2026 22:00 · #75041#75016 — #75040
5
9
11
18
37
1

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.

Open the full selection analyzer →

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.

How to read statistical measures

Random model

The random model assumes every number has the same chance of being drawn each time. We compare results against this model to see whether the history departs from it — not to predict the next draw.

Expected value

The expected value is the average result we'd see if the numbers were fully random, repeated a great many times. Real history almost always differs from it a little — that alone is nothing unusual.

Deviation

Deviation shows how far a value is from what the random model expects, measured in units of typical spread. A value close to zero matches the model; the further from zero, the bigger the difference — but with many numbers compared at once, a few larger deviations are ordinary spread, not a signal.

Percentile

The percentile shows what share of results (from the model or from history) fall below the value being checked. Percentile 80 means about 80% of results fall below it and 20% above — it describes a place in the distribution, not a forecast.

Typicality

Typicality describes how close a value sits to the centre of the model's or history's distribution — typical values happen often, extreme ones rarely. It's a descriptive comparison and says nothing about what the next draw will bring.

Related analyses

← All statistics Mini Lotto

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My saved selections

Selections saved only in this browser. Numbers are shown exactly as saved; this is not a lottery ticket.

Open the My saved selections hub

The file stays on your device. A faulty file changes nothing.