RESULTS & TESTING

Look at the outcomes.
Not just a headline.

These archived Number Control simulations describe specified development policies. They are not results from current subscribers or performance evidence for the separate market-based service.

ARCHIVED NUMBER CONTROL / 50-ROLL PROFILE

91.02%

of simulated sessions
finished above the starting balance.

9,000 simulated sessions · starting balance €100 · V15.66 archive

The rest of the same result

Mean ending balance€99.69
Median ending balance€100.20
Rolls with a stake36.30%
Worst ending balance€80.00

Many small positive finishes coexisted with larger losses. The mean was below the starting amount. This is not next-number accuracy or a promised chance of future profit.

Selected archived Number Control results · 9,000 sessions per profile
ProfileHorizonFinished above startMean finalMedian finalRolls bet
50R Action/Happiness50 rolls91.02%€99.69€100.2036.30%
180R Main Happiness180 rolls88.97%€99.58€100.2030.84%
7D Safe Happiness1,260 rolls90.59%€99.22€100.206.35%
30D Safe Happiness5,400 rolls90.59%€98.96€100.202.30%

Values rounded from the existing archive. No new simulation or independent engine validation was run to build this website. Scheduled rolls include waiting periods; a longer horizon does not mean more bets. The later NUMBER catalogue and this archived profile set must not be added together as distinct live strategies.

01

Frequency is not return.

Finishing slightly ahead often can coexist with a negative average when the less frequent losses are larger.

02

Participation matters.

Read the percentage of rolls actually bet alongside the scheduled duration. Waiting is part of the tested policy.

03

Keep the systems separate.

Number Control results do not establish market-based PRODUCT performance or current subscription results.

A result you can
put in context.

Source: ROULAITTE_V15_66_ALL37_FINAL_WALLET_AND_PLAYED.xlsx, the 00_METRICS_37 table. The archive covers 37 profiles and 333,000 profile-session records, not 333,000 real customers. Full raw data and current deployment still require separate review.

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