Swiss Lotto · Strategy backtesting
Random Generator strategy - Swiss Lotto benchmark & results
The Random Generator strategy prioritizes fully random combinations as a neutral reference. The historical analysis on this page evaluates 105 archived draws in the active window. The metrics on this page describe behaviour only within Swiss Lotto and do not predict future results.
What does the Random Generator strategy do?
This strategy weights fully random combinations as a neutral reference and compares the outcome with the exact random baseline inside the same lottery. It shows how the method behaved in the archive with 5,000 × 100 lines per draw in the selected run, without promising a future edge.
Who is this strategy for?
For players who want a transparent comparison between strategy and chance. It is most useful as structured historical context without mixing the benchmark with extra user filters.
Important note
Past frequencies do not guarantee future results. LottoLab shows historical benchmark data, not a winning-number prediction. Raw deltas per 10,000 lines are most useful within the same lottery; for Swiss Lotto versus EuroMillions, relative uplift is the fairer cross-lottery view.
Historical analysis of the Random Generator strategy
Last 365 days · published 28 Apr 2026
Prize-class comparison
Official prize classes compared historically with the exact random baseline.
| Class | Strategy / 10'000 | Exact random / 10'000 | Delta / 10'000 | Total hits |
|---|---|---|---|---|
| 6 numbers + Lucky Number | <0.05 | <0.05 | practically equal | 1 |
| 6 numbers | <0.05 | <0.05 | practically equal | 7 |
| 5 numbers + Lucky Number | 0.07 | 0.07 | practically equal | 385 |
| 5 numbers | 0.35 | 0.34 | practically equal | 1,856 |
| 4 numbers + Lucky Number | 3.0 | 3.0 | practically equal | 15,549 |
| 4 numbers | 14.9 | 15.0 | -0.10 | 78,307 |
| 3 numbers + Lucky Number | 45.4 | 45.4 | practically equal | 238,395 |
| 3 numbers | 227.1 | 226.8 | +0.28 | 1,192,433 |
practically equal
about 1 hit per 31,474,255 picks
- Strategy
- <0.05
- Random
- <0.05
- Total hits
- 1
practically equal
about 1 hit per 6,294,931 picks
- Strategy
- <0.05
- Random
- <0.05
- Total hits
- 7
practically equal
about 1 hit per 136,364 picks
- Strategy
- 0.07
- Random
- 0.07
- Total hits
- 385
practically equal
about 1 hit per 28,287 picks
- Strategy
- 0.35
- Random
- 0.34
- Total hits
- 1,856
practically equal
- Strategy
- 3.0
- Random
- 3.0
- Total hits
- 15,549
historically lower
- Strategy
- 14.9
- Random
- 15.0
- Total hits
- 78,307
practically equal
- Strategy
- 45.4
- Random
- 45.4
- Total hits
- 238,395
historically higher
- Strategy
- 227.1
- Random
- 226.8
- Total hits
- 1,192,433
All rates use the selected normalization. Positive deltas show more historical hits than exact random selection; they are not predictions.
Methodology
105 draws · 52,500,000 combinations analyzed · published 28 Apr 2026. Historical, reproducible, and not predictive.
Show technical details
Frequently asked questions
What does the Random Generator strategy mean for Swiss Lotto?
It prioritizes fully random combinations as a neutral reference and creates structured picks for historical comparison.
Is the Random Generator strategy better than random?
That depends on the active window. Inside Swiss Lotto, the key measures are prize hits per 10,000 lines and the difference against the exact random baseline shown above. For cross-lottery comparison, relative uplift is the fairer lens. This remains descriptive, not predictive.
Can I combine it with filters?
Yes in the generator. The benchmark on this page intentionally keeps the default strategy without additional user filters.
How often is the benchmark updated?
The currently published benchmark data was updated on 28 Apr 2026.