All or Nothing Results
On Saturday midday, May 16, 2026, the All or Nothing draw in Wisconsin produced a notable return: 01 02 03 04 06 09 10 11 16 17 22 after days of absence. The length of the gap places this result beyond typical spacing, making it a meaningful entry for long-term distribution tracking.
Winning numbers for 2 draws on May 16, 2026 in Wisconsin.
Draw times: D, Evening.
Our take on the All or Nothing results
May 16, 2026All or Nothing report — Saturday midday, May 16, 2026: 01 02 03 04 06 09 10 11 16 17 22 shows a notable pattern
On Saturday midday, May 16, 2026, the All or Nothing draw in Wisconsin produced a notable return: 01 02 03 04 06 09 10 11 16 17 22 after days of absence. The length of the gap places this result beyond typical spacing, making it a meaningful entry for long-term distribution tracking.
Overview
On Saturday midday, May 16, 2026, the All or Nothing draw in Wisconsin produced a notable return: 01 02 03 04 06 09 10 11 16 17 22 after days of absence. The length of the gap places this result beyond typical spacing, making it a meaningful entry for long-term distribution tracking.
Combo Profile
The numbers in 01 02 03 04 06 09 10 11 16 17 22 cover a wide range (1 to 22) with no repeats.
Why Droughts Matter
Prolonged absences remain descriptive, not predictive - they record variance across time. They help quantify how often outcomes move into the tails.
Data Notes
Results are evaluated against historical frequency baselines where available. The goal is documentation and context rather than prediction.
From Stepzero
At Stepzero, the priority is accuracy and context. This report is intended as a historical record entry, not a forecast.
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.
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.
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
This result adds a measurable entry to the long-term record. Over time, those entries are what sharpen distribution analysis and reveal whether the system is tracking its expected cadence.