All or Nothing Results
02 03 05 06 09 14 15 17 20 21 22 reappeared in the All or Nothing draw on Monday midday, May 11, 2026 after days, a long-gap outcome that warrants documentation in the historical record even when cadence benchmarks are unavailable.
Winning numbers for 2 draws on May 11, 2026 in Wisconsin.
Draw times: D, Evening.
Our take on the All or Nothing results
May 11, 2026All or Nothing report — Monday midday, May 11, 2026: 02 03 05 06 09 14 15 17 20 21 22 shows a notable pattern
02 03 05 06 09 14 15 17 20 21 22 reappeared in the All or Nothing draw on Monday midday, May 11, 2026 after days, a long-gap outcome that warrants documentation in the historical record even when cadence benchmarks are unavailable.
Overview
02 03 05 06 09 14 15 17 20 21 22 reappeared in the All or Nothing draw on Monday midday, May 11, 2026 after days, a long-gap outcome that warrants documentation in the historical record even when cadence benchmarks are unavailable.
Combo Profile
As a number pattern, 02 03 05 06 09 14 15 17 20 21 22 uses 11 distinct numbers and a wide spread from 2 to 22.
Why Droughts Matter
Extended absences like this provide context, not direction. They show how randomness behaves across large samples and help analysts quantify how often the system deviates from its baseline cadence.
Data Notes
In detail: this analysis summarizes outcomes logged on Monday midday, May 11, 2026 with reference to historical frequency baselines. The intent is documentation, not forecasting.
From Stepzero
Stepzero produces these reports to provide a calm, evidence-first record of how draw patterns unfold over time. The aim is clarity and continuity - a reference point for long-horizon tracking rather than a call to action.
Additional Context
Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges. Context improves with scale. As more draws accumulate, isolated anomalies either normalize into baseline rates or reveal persistent deviations that warrant closer monitoring.
Adding to the Long-Term Record
The return of 02 03 05 06 09 14 15 17 20 21 22 expands the archive by one more data point. It is the accumulation of these entries, not a single draw, that defines the reliability of long-horizon analysis.