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Historical accuracy of analyses Eurojackpot

Which rules matched later results when calculations excluded the assessed draw?

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.

Replay the past, one draw at a time

Before each assessed draw, six fixed rules select the same number of main numbers using only earlier results. We then count the overlap with the real result. These are explicit selection rules based on analyses, not a claim that every statistic predicts numbers.

The target draw and all later draws are excluded from every calculation. No future selection, prizes or recommended numbers are generated. Eurojackpot Euro numbers and Multi Multi Plus are excluded.

One setting for all rules

History size, including initial training draws

All six rules are always calculated. This selector changes only the chart and inspected steps. Equal scores are resolved by ascending number, without looking at the target draw.

Actual history: 50 · 14.04.2026 20:00 — 02.10.2026 20:00. Assessed steps: 25 (exploration 15, later assessment 10).

What matched the latest assessed draw?

02.10.2026 20:00 · #110116

4
6
7
17
45

Calculations used earlier draws only: #68290 — #109317, 07.07.2026 20:00 — 29.09.2026 20:15.

RuleEarlier selection; ✓ marks overlapHits
Most frequent
4
✓
5
6
✓
17
✓
30
3 / 5
Least frequent
1
18
19
38
44
0 / 5
Longest gaps
8
18
19
38
44
0 / 5
Repeats
21
30
36
43
48
0 / 5
Partners
14
21
30
43
48
0 / 5
Binary rhythm (2 bits)
4
✓
5
34
35
43
1 / 5

More overlaps in one draw describe that draw. They do not establish a dependable method.

Which rules matched more often in this history?

The first 60% of assessed steps form exploration. Its leaders are marked below; the ranking uses only the later 40% assessment period. All rules use the same draws and selection size.

Random-model expectation: 5 × 5 / 50 = 0.500 hits per draw; 10 assessment draws → 5.00 total expected hits.

Rank / ruleExploration meanAssessment meanDifference from modelAssessment totalWhole-period mean
1. Binary rhythm (2 bits)0.2670.9000.40090.520
2. Most frequentExploration leader (ties possible)0.6000.7000.20070.640
2. PartnersExploration leader (ties possible)0.6000.7000.20070.640
4. RepeatsExploration leader (ties possible)0.6000.6000.10060.600
5. Longest gaps0.5330.5000.00050.520
6. Least frequentExploration leader (ties possible)0.6000.400-0.10040.520

A positive difference is an observation, not statistical proof of an advantage. Comparing six rules and changing settings after seeing their results increases the risk of finding an accidental leader. Both periods remain retrospective; they are not a preregistered validation.

Fewer than 30 assessment draws: the ranking can change sharply after a single draw.

Accumulated overlap in the later assessment period — Most frequent

Solid line: actual accumulated hits. Dashed line: uniform-model expectation for the same number of draws and selections. The line is not a confidence interval.

Most frequent: 7 hits; model 5.00, N=1070010

X: assessed draws; Y: accumulated hits.

Inspect the latest 20 chronological steps
Target drawEarlier training IDsEarlier selectionHits
02.10.2026 20:00 · #110116#68290 — #109317
4
✓
5
6
✓
17
✓
30
3 / 5
29.09.2026 20:15 · #109317#68289 — #106731
4
5
6
17
25
0 / 5
25.09.2026 20:00 · #106731#68288 — #106711
4
5
6
17
25
0 / 5
22.09.2026 20:15 · #106711#68287 — #106688
4
5
6
17
✓
25
1 / 5
18.09.2026 20:00 · #106688#68286 — #106667
4
✓
5
6
17
25
✓
2 / 5
15.09.2026 20:00 · #106667#68285 — #106644
4
6
✓
17
25
34
1 / 5
11.09.2026 20:00 · #106644#68284 — #66943
4
6
17
25
34
0 / 5
08.09.2026 20:00 · #66943#68283 — #68307
4
6
17
25
45
0 / 5
04.09.2026 20:00 · #68307#68282 — #68306
4
6
17
25
45
0 / 5
01.09.2026 20:00 · #68306#68281 — #68305
4
6
17
25
45
0 / 5
28.08.2026 20:00 · #68305#68280 — #68304
4
6
17
25
50
0 / 5
25.08.2026 20:00 · #68304#68279 — #68303
4
✓
6
17
25
42
1 / 5
21.08.2026 20:00 · #68303#68278 — #68302
4
6
17
25
✓
42
1 / 5
18.08.2026 20:00 · #68302#68277 — #68301
4
5
6
17
42
✓
1 / 5
14.08.2026 20:00 · #68301#68276 — #68300
4
6
17
25
42
0 / 5
11.08.2026 20:00 · #68300#68275 — #68299
4
✓
6
17
37
42
1 / 5
07.08.2026 20:00 · #68299#68274 — #68298
4
6
✓
17
37
42
1 / 5
04.08.2026 20:00 · #68298#68273 — #68297
4
17
✓
37
41
42
1 / 5
31.07.2026 20:00 · #68297#68272 — #68296
4
✓
6
17
37
42
1 / 5
28.07.2026 20:00 · #68296#68271 — #68295
4
6
17
37
42
0 / 5

Exactly what is being compared?

Most frequent

Highest hit counts in the earlier window.

Open the source analysis →

Least frequent

Lowest hit counts in the earlier window.

Open the source analysis →

Longest gaps

Longest absence at the end of the earlier window. A number absent throughout the window has a gap of at least that window length.

Open the source analysis →

Repeats

Numbers from the last earlier draw come first; numeric order resolves the remaining ties.

Open the source analysis →

Partners

Sum of co-occurrence shares with numbers from the last earlier draw. Each partner count is divided by the anchor number’s frequency; self-pairs are excluded.

Open the source analysis →

Binary rhythm (2 bits)

For each number, take its final two earlier presence bits, find that pattern in the earlier window, and measure how often a 1 followed it. Add two model-weighted pseudo-observations. A pattern without previous examples receives the model baseline.

Open the source analysis →

Sums, parity, ranges and decades describe a whole draw. They cannot fairly be ranked by number overlap without inventing additional selection rules. This page therefore compares only the six rules defined above. Each independent draw retains the same odds.

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 Eurojackpot

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