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Draw explorer — Lotto Lab Lotto Plus

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
21.06.2025869351617222435411553425
19.06.20258693413212629431231342
17.06.2025869331213212223421333530
14.06.2025869321233537401182339
12.06.202586931812192129451342437
10.06.20258693058394142451802240
07.06.2025869291213243039421604330
05.06.202586928119243035461553345
03.06.202586927679112629882423
31.05.2025869263792739481331345
29.05.202586925434383947482104144
27.05.2025869241318193744451762332
24.05.2025869232224283135391793217
22.05.20258692219111325491080448
20.05.20258692146192542491453345
17.05.202586920312162634351264332
15.05.20258691959233235451491340
13.05.2025869181412151637853536
10.05.202586917612233038451544339
08.05.202586916717283440471733240
06.05.2025869151824262835451764227
03.05.2025869141225303540431853131
01.05.202586913116244146491773348
29.04.20258691267131529461162440
26.04.202586911817293745471831239
24.04.202586910333414647492191146
22.04.20258690978121521481113541
19.04.202586908813192124361213528
17.04.202586907714313546471802240
15.04.202586906826273641441824136
12.04.202586905614213335411502335
10.04.202586904611132138401293434
08.04.2025869031220253236461715234
05.04.202586902213243038411484339
03.04.20258690113223236381324337
01.04.2025869001429354142472082133
29.03.202586899215232635441453342
27.03.202586898614262732441495238
25.03.2025868971318203040481695335
22.03.20258689659153541441491339
20.03.202586895920304445491973240
18.03.202586894720353642481884241
15.03.2025868931121313242481853237
13.03.202586892112182125481253447
11.03.20258689157161928401153435
08.03.2025868901314243031341464321
06.03.2025868891520394243462053231
04.03.2025868882527293142441982019
01.03.20258688768192537421373336
27.02.202586885920233035451622336

Lotto Lab: rules through history

Shared sample

N=500 · 25.07.2023 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
Exploration2850.5820.61221.09.2023 22:00 — 15.07.2025 22:00
Assessment1900.4580.61217.07.2025 22:00 — 01.10.2026 22:00

Hit distribution in assessment period

HitsObserved stepsModel expected steps
011595.91
16373.78
21218.44
301.80
400.06
500.00
Inspect the last 30 steps
Target drawEarlier training IDsRule selectionHits
01.10.2026 22:00 · #109876#87110 — #109343
2
14
19
21
24
1
29.09.2026 22:00 · #109343#87109 — #108541
2
3
19
21
24
0
26.09.2026 22:00 · #108541#87108 — #106725
2
3
21
24
39
0
24.09.2026 22:00 · #106725#87107 — #106713
2
3
21
24
40
0
22.09.2026 22:00 · #106713#87106 — #106695
5
21
22
24
40
0
19.09.2026 22:00 · #106695#87105 — #106682
5
21
22
24
40
1
17.09.2026 22:00 · #106682#87104 — #106669
5
21
22
24
38
1
15.09.2026 22:00 · #106669#87103 — #106651
5
14
21
24
40
0
12.09.2026 22:00 · #106651#87102 — #69997
5
21
24
38
40
0
10.09.2026 22:00 · #69997#87101 — #66942
5
21
24
38
40
1
08.09.2026 22:00 · #66942#87100 — #87124
5
21
24
38
40
0
05.09.2026 22:00 · #87124#87099 — #87123
5
14
21
24
40
1
03.09.2026 22:00 · #87123#87098 — #87122
14
21
22
24
40
2
01.09.2026 22:00 · #87122#87097 — #87121
6
14
21
22
40
0
29.08.2026 22:00 · #87121#87096 — #87120
21
22
36
40
49
1
27.08.2026 22:00 · #87120#87095 — #87119
21
22
36
40
47
0
25.08.2026 22:00 · #87119#87094 — #87118
21
22
36
40
47
0
22.08.2026 22:00 · #87118#87093 — #87117
6
21
22
40
47
0
20.08.2026 22:00 · #87117#87092 — #87116
6
21
22
40
47
0
18.08.2026 22:00 · #87116#87091 — #87115
1
21
22
40
47
0
15.08.2026 22:00 · #87115#87090 — #87114
9
21
22
40
47
1
13.08.2026 22:00 · #87114#87089 — #87113
9
21
34
40
47
2
11.08.2026 22:00 · #87113#87088 — #87112
9
21
34
40
47
2
08.08.2026 22:00 · #87112#87087 — #87111
1
9
21
34
47
0
06.08.2026 22:00 · #87111#87086 — #87110
1
9
21
34
47
2
04.08.2026 22:00 · #87110#87085 — #87109
1
9
17
34
36
1
01.08.2026 22:00 · #87109#87084 — #87108
1
9
21
34
36
0
30.07.2026 22:00 · #87108#87083 — #87107
1
21
27
34
36
0
28.07.2026 22:00 · #87107#87082 — #87106
1
34
36
46
47
0
25.07.2026 22:00 · #87106#87081 — #87105
1
21
34
36
46
0

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 Lotto Plus

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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.