All or Nothing Results
On Thursday midday, April 9, 2026, the All or Nothing draw in Wisconsin produced a notable return: 01 03 04 05 06 09 10 15 18 20 21 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 April 9, 2026 in Wisconsin.
Draw times: D, Evening.
Our take on the All or Nothing results
April 9, 2026All or Nothing report — Thursday midday, April 9, 2026: 01 03 04 05 06 09 10 15 18 20 21 shows a notable pattern
On Thursday midday, April 9, 2026, the All or Nothing draw in Wisconsin produced a notable return: 01 03 04 05 06 09 10 15 18 20 21 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 Thursday midday, April 9, 2026, the All or Nothing draw in Wisconsin produced a notable return: 01 03 04 05 06 09 10 15 18 20 21 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 03 04 05 06 09 10 15 18 20 21 cover a wide range (1 to 21) with no repeats.
Why Droughts Matter
Droughts do not indicate what will happen next - they simply document what has already occurred. Their value lies in measuring distribution over long horizons and identifying when a combination performs far above or below its expected appearance rate.
Data Notes
This analysis uses the draw results recorded for Thursday midday, April 9, 2026 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
Stepzero focuses on documenting distribution behavior over large samples. Each report is a snapshot of observed outcomes, designed to support disciplined, long-term analysis.
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.
Adding to the Long-Term Record
With its return, 01 03 04 05 06 09 10 15 18 20 21 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.