All or Nothing Results
In the All or Nothing draw on Monday midday, April 6, 2026, 01 02 04 07 10 11 13 15 16 19 20 landed again following a -day absence in Wisconsin. Relative to 1 in 705,432 draws, the gap reads as a long-horizon outlier.
Winning numbers for 2 draws on April 6, 2026 in Wisconsin.
Draw times: D, Evening.
Our take on the All or Nothing results
April 6, 2026All or Nothing report — Monday midday, April 6, 2026: 01 02 04 07 10 11 13 15 16 19 20 shows a notable pattern
In the All or Nothing draw on Monday midday, April 6, 2026, 01 02 04 07 10 11 13 15 16 19 20 landed again following a -day absence in Wisconsin. Relative to 1 in 705,432 draws, the gap reads as a long-horizon outlier.
Overview
In the All or Nothing draw on Monday midday, April 6, 2026, 01 02 04 07 10 11 13 15 16 19 20 landed again following a -day absence in Wisconsin. Relative to 1 in 705,432 draws, the gap reads as a long-horizon outlier.
Combo Profile
As a number shape, 01 02 04 07 10 11 13 15 16 19 20 holds 11 distinct numbers with no repeats in the numbers. The range from 1 to 20 is a wide spread.
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 Monday midday, April 6, 2026 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
At Stepzero, the priority is accuracy and context. This report is intended as a historical record entry, not a forecast.
Additional Context
Stability comes from the accumulation of entries. One draw alone does not define the pattern, but the record grows more reliable with each addition to the dataset.
Adding to the Long-Term Record
The return of 01 02 04 07 10 11 13 15 16 19 20 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.