🧪 Is UK Lotto really random?
We run all 1,151 UK Lotto draws since 10.10.2015 through 11 statistical tests. The question: do the draws behave the way pure chance predicts, or are there patterns, “hot” numbers, seasonal effects?
No anomaly: 0 of 11 tests fall below the 5% threshold – pure chance would produce 0.55. After correcting for multiple testing (Holm), no finding remains.
| Test | Finding | p-value | p (Holm) |
|---|---|---|---|
| Uniform numbers Is every number drawn equally often? χ² = 47.8 with 58 df; largest deviation: 21 (z = -1.96). | normal | 0.828 | 1.000 |
| Uniform Bonus ball Are all Bonus ball drawn equally often? 1,151 draws; χ² = 52.0 with 58 df; largest deviation: 38 (z = 2.17). | normal | 0.696 | 1.000 |
| Seasonal numbers Do some numbers come up more often in certain months? number × month, χ² = 709.1 with 696 df; most extreme cell: 10 in August (z = 4.36). | normal | 0.357 | 1.000 |
| Draw day Do the numbers depend on the day of the draw? number × weekday, χ² = 94.9 with 116 df; most extreme cell: 27 on Wednesday (z = 2.28). | normal | 0.925 | 1.000 |
| Stability over time Have the frequencies shifted over the years? 4 periods, χ² = 215.7 with 232 df; largest deviation: 37 in period 3 (z = 3.06). | normal | 0.772 | 1.000 |
| Sum of numbers Do the sums follow the exact distribution? mean sum 181.73 (theoretical 180.00); χ² = 40.5 with 34 df. | normal | 0.206 | 1.000 |
| Even/odd Is the mix of even and odd numbers right? χ² = 9.4 with 6 df. | normal | 0.150 | 1.000 |
| Consecutive numbers Do pairs like 12–13 appear as often as expected? 42.8% of draws contain consecutive numbers (theoretical 42.7%). | normal | 0.917 | 1.000 |
| Repeats from previous draw Does a draw depend on the previous one? on average 0.58 numbers of the previous draw come up again (theoretical 0.61). | normal | 0.107 | 1.000 |
| Number pairs Do certain pairs come up together too often? most frequent pair 2 + 54: 23 times (expected 10.1); spread of all pairs compared with 100 random series. | normal | 0.693 | 1.000 |
| Gaps between hits Are a number's absences as long as pure chance predicts? gap distribution compared with 100 simulated random series. | normal | 0.574 | 1.000 |
The latest draw
The draw of 17.10.2026 (4 9 15 32 38 42) has no unusual feature.
Almost every draw has some “rare” feature if you look at enough features. That is no sign of manipulation.
Strategies on trial: do frequent or overdue numbers predict anything?
For every draw since 10.10.2015, the test picks numbers using only the earlier draws (last N draws) and counts how many come up in the next draw. The benchmark is what a random selection of the same size hits on average.
Popular strategies
| Strategy | Selection | Hits per draw | expected | ratio | p-value | p (Holm) | |
|---|---|---|---|---|---|---|---|
| … | |||||||
Test your own mix
N1/N2: frequency within the last N draws. N3/N4: current gap (draws since last hit, over the whole history). Overlaps count once.
Distribution of hits per draw
observed expected (chance)
Cumulative excess / shortfall vs. chance
Important: every combination has the same chance in every draw. No strategy can improve the number of hits; test enough variants and you will still find some with p < 5% – that is chance (see above, multiple testing).
How to read the table
The p-value is the probability of a result at least this extreme under pure chance. Below 5%, a single test is usually called “significant”. Because 11 tests run at once, about 0.55 such hits are expected by chance alone; the Holm correction accounts for that. Only a result still below 5% after correction would be a serious hint.
Method
Based on the official draws of the current 6/59 format (since 10.10.2015). Frequency tests: chi-square corrected for drawing without replacement. Pairs and gaps: compared with 100 simulated random series of the same length (Monte Carlo, two-sided). Everything is recalculated after every draw.
Rules & FAQ
Is UK Lotto rigged?
The data show no sign of it. 0 of 11 tests fall below 5% (0.55 expected by pure chance), 0 after correcting for multiple testing. The draws behave like those of a fair drawing machine.
Can these tests predict winning numbers?
No. Precisely because the draws pass the tests, there is no exploitable pattern: every combination has the same chance in every draw.
Why is a test sometimes “unusual”?
At the 5% level, one test in twenty fires by pure chance on average. That is why we also show the Holm-corrected p-value, which accounts for the number of tests.