Total prize hits
290.6
per 10'000 picks · random: 290.6
Swiss Lotto · Strategy backtesting
Sum Range strategy - Swiss Lotto benchmark & results
Lotteries
The Sum Range strategy prioritizes combinations near the historical central sum range. 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 Sum Range strategy do?
This strategy weights combinations near the historical central sum range 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 to reduce very low or very high ticket sums. 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 Sum Range strategy
Last 365 days · published 28 Apr 2026
Delta vs random
-0.07
Raw difference inside the same lottery
Relative uplift
0.0%
against this lottery's exact random baseline
Strongest class
3 numbers
Last 365 days
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 | no hit | <0.05 | practically equal | 0 |
| 6 numbers | <0.05 | <0.05 | practically equal | 4 |
| 5 numbers + Lucky Number | 0.06 | 0.07 | practically equal | 303 |
| 5 numbers | 0.34 | 0.34 | practically equal | 1,785 |
| 4 numbers + Lucky Number | 2.9 | 3.0 | -0.06 | 15,440 |
| 4 numbers | 15.0 | 15.0 | practically equal | 78,918 |
| 3 numbers + Lucky Number | 45.4 | 45.4 | practically equal | 238,276 |
| 3 numbers | 226.8 | 226.8 | practically equal | 1,190,814 |
6 numbers + Lucky Number
practically equal
practically equal
about 1 hit per 31,474,255 picks
- Strategy
- no hit
- Random
- <0.05
- Total hits
- 0
6 numbers
practically equal
practically equal
about 1 hit per 6,294,931 picks
- Strategy
- <0.05
- Random
- <0.05
- Total hits
- 4
5 numbers + Lucky Number
practically equal
practically equal
about 1 hit per 145,717 picks
- Strategy
- 0.06
- Random
- 0.07
- Total hits
- 303
5 numbers
practically equal
practically equal
about 1 hit per 29,144 picks
- Strategy
- 0.34
- Random
- 0.34
- Total hits
- 1,785
4 numbers + Lucky Number
-0.06
historically lower
- Strategy
- 2.9
- Random
- 3.0
- Total hits
- 15,440
4 numbers
practically equal
practically equal
- Strategy
- 15.0
- Random
- 15.0
- Total hits
- 78,918
3 numbers + Lucky Number
practically equal
practically equal
- Strategy
- 45.4
- Random
- 45.4
- Total hits
- 238,276
3 numbers
practically equal
practically equal
- Strategy
- 226.8
- Random
- 226.8
- Total hits
- 1,190,814
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
go_phase1
Benchmark version
dev+srcd0017277
Code version
500
Min. draws
5,000
Combinations per draw
100
Repeats per draw
Exact random + matched baseline
Baseline
Frequently asked questions
What does the Sum Range strategy mean for Swiss Lotto?
It prioritizes combinations near the historical central sum range and creates structured picks for historical comparison.
Is the Sum Range 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.