All or Nothing Results
For Texas's All or Nothing draw on Friday midday, April 3, 2026, 03 06 07 08 09 12 15 17 20 21 22 23 returned after days without an appearance in Texas. The gap is long enough to stand out without relying on cadence benchmarks.
Winning numbers for 4 draws on April 3, 2026 in Texas.
Draw times: D, Evening, Midday, N.
Our take on the All or Nothing results
April 3, 2026All or Nothing report — Friday midday, April 3, 2026: 03 06 07 08 09 12 15 17 20 21 22 23 shows a notable pattern
For Texas's All or Nothing draw on Friday midday, April 3, 2026, 03 06 07 08 09 12 15 17 20 21 22 23 returned after days without an appearance in Texas. The gap is long enough to stand out without relying on cadence benchmarks.
Overview
For Texas's All or Nothing draw on Friday midday, April 3, 2026, 03 06 07 08 09 12 15 17 20 21 22 23 returned after days without an appearance in Texas. The gap is long enough to stand out without relying on cadence benchmarks.
Combo Profile
As a number pattern, 03 06 07 08 09 12 15 17 20 21 22 23 uses 12 distinct numbers and a wide spread from 3 to 23.
Why Droughts Matter
A long drought is descriptive rather than predictive. It records variance across time and helps analysts evaluate whether outcomes are tracking within expected frequency bands or drifting into the tails of the distribution.
Data Notes
Specifically: this analysis documents the draw results for Friday midday, April 3, 2026 with benchmarking against long-run cadence. This is documentation, not a forecast.
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
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. 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
Across the long-term record, 03 06 07 08 09 12 15 17 20 21 22 23 adds another archive entry to the long-horizon record. Reliability is a function of the growing record.