All or Nothing Results
On Thursday midday, May 28, 2026, the All or Nothing draw in Wisconsin produced a notable return: 01 03 04 06 08 10 12 14 16 20 22 after days of absence. Against an expected cadence of 1 in 705,432 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Winning numbers for 2 draws on May 28, 2026 in Wisconsin.
Draw times: D, Evening.
Our take on the All or Nothing results
May 28, 2026All or Nothing report — Thursday midday, May 28, 2026: 01 03 04 06 08 10 12 14 16 20 22 shows a notable pattern
On Thursday midday, May 28, 2026, the All or Nothing draw in Wisconsin produced a notable return: 01 03 04 06 08 10 12 14 16 20 22 after days of absence. Against an expected cadence of 1 in 705,432 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Overview
On Thursday midday, May 28, 2026, the All or Nothing draw in Wisconsin produced a notable return: 01 03 04 06 08 10 12 14 16 20 22 after days of absence. Against an expected cadence of 1 in 705,432 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Combo Profile
As a number pattern, 01 03 04 06 08 10 12 14 16 20 22 uses 11 distinct numbers and a wide spread from 1 to 22.
Why Droughts Matter
Deep gaps function as context, not directional - they document what has already happened. They help analysts track drift against expected cadence.
Data Notes
This report summarizes observed outcomes for Thursday midday, May 28, 2026 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
The takeaway: this reporting is designed to maintain continuity across the record as a calm, evidence-first reference. The priority is accuracy and continuity.
Additional Context
Record-keeping at scale becomes the foundation for analysis. Each outcome, whether typical or unusual, contributes to the stability and clarity of the long-run picture. Record-keeping at scale becomes the foundation for analysis. Each outcome, whether typical or unusual, contributes to the stability and clarity of the long-run picture.
Adding to the Long-Term Record
With its return, 01 03 04 06 08 10 12 14 16 20 22 contributes another meaningful data point to the historical dataset. Each draw - whether routine or statistically unusual - refines the long-term view of how large random systems behave over time.