Draw explorer — Lotto Lab Eurojackpot

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

State ending at draw

Sum

from to

Even numbers

from to

Low numbers

from to

Range

from to

Compare with filter set B

Sum

from to

Even numbers

from to

Low numbers

from to

Range

from to

Clear filters

Matching draws: 7

of 7 (100%). This describes past draws and does not predict the next one.

Draws matching all filters
Date	No.	Numbers	Sum	Even	Low	Range
29.09.2026	109317	2130364348	178	3	1	27
25.09.2026	106731	27102930	78	3	3	28
22.09.2026	106711	1723334647	166	1	2	30
18.09.2026	106688	425303233	124	3	2	29
15.09.2026	106667	56102742	90	3	3	37
11.09.2026	106644	1421353749	156	1	2	35
08.09.2026	66943	1427343647	158	3	1	33

Lotto Lab: rules through history

Shared sample

Ending at draw Rule Earlier draws per step Numbers selected by rule

N=7 · 08.09.2026 20:00 — 29.09.2026 20:15 · 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.

The sample must be longer than the training window.

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.

Year

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.

Number of simulated draws

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.

Draw explorer — Lotto Lab Eurojackpot

What would you like to check?

Numbers and gaps

Draw structure

Relationships and random model

Draws and tools

Filter set A

Lotto Lab: rules through history

Chronological assessment

Interactive tools

Related analyses

Draw sum

Even and odd

Range

My saved selections

Notifications after draws