Swiss Lotto · Strategy backtesting

Maximum Coverage strategy - Swiss Lotto benchmark & results

The Maximum Coverage strategy prioritizes tickets that spread coverage more broadly across multiple combinations. 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 Maximum Coverage strategy do?

This strategy weights tickets that spread coverage more broadly across multiple combinations 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 plan several lines as a portfolio. 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 Maximum Coverage strategy

Last 365 days · published 28 Apr 2026

Total prize hits
277.3
per 10'000 picks · random: 290.6
Delta vs random
-13.4
Raw difference inside the same lottery
Relative uplift
-4.6%
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 <0.05 <0.05 practically equal 1
6 numbers <0.05 <0.05 practically equal 10
5 numbers + Lucky Number 0.06 0.07 practically equal 336
5 numbers 0.29 0.34 -0.05 1,522
4 numbers + Lucky Number 2.5 3.0 -0.47 13,292
4 numbers 13.8 15.0 -1.2 72,282
3 numbers + Lucky Number 37.7 45.4 -7.6 198,146
3 numbers 222.9 226.8 -4.0 1,170,164
6 numbers + Lucky Number practically equal

practically equal

about 1 hit per 31,474,255 picks

Strategy
<0.05
Random
<0.05
Total hits
1
6 numbers practically equal

practically equal

about 1 hit per 5,250,000 picks

Strategy
<0.05
Random
<0.05
Total hits
10
5 numbers + Lucky Number practically equal

practically equal

about 1 hit per 145,717 picks

Strategy
0.06
Random
0.07
Total hits
336
5 numbers -0.05

historically lower

about 1 hit per 29,144 picks

Strategy
0.29
Random
0.34
Total hits
1,522
4 numbers + Lucky Number -0.47

historically lower

Strategy
2.5
Random
3.0
Total hits
13,292
4 numbers -1.2

historically lower

Strategy
13.8
Random
15.0
Total hits
72,282
3 numbers + Lucky Number -7.6

historically lower

Strategy
37.7
Random
45.4
Total hits
198,146
3 numbers -4.0

historically lower

Strategy
222.9
Random
226.8
Total hits
1,170,164

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 Maximum Coverage strategy mean for Swiss Lotto?

It prioritizes tickets that spread coverage more broadly across multiple combinations and creates structured picks for historical comparison.

Is the Maximum Coverage 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.

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