Keno Results
On Thursday night, April 16, 2026, the Keno draw in Washington produced a notable return: 01 02 06 07 12 18 25 29 32 36 37 39 40 41 42 57 59 65 72 73 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 1 draw on April 16, 2026 in Washington.
Draw times: Evening.
Our take on the Keno results
April 16, 2026Keno report — Thursday night, April 16, 2026: 01 02 06 07 12 18 25 29 32 36 37 39 40 41 42 57 59 65 72 73 shows a notable pattern
On Thursday night, April 16, 2026, the Keno draw in Washington produced a notable return: 01 02 06 07 12 18 25 29 32 36 37 39 40 41 42 57 59 65 72 73 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 night, April 16, 2026, the Keno draw in Washington produced a notable return: 01 02 06 07 12 18 25 29 32 36 37 39 40 41 42 57 59 65 72 73 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
As a number pattern, 01 02 06 07 12 18 25 29 32 36 37 39 40 41 42 57 59 65 72 73 uses 20 distinct numbers and a wide spread from 1 to 73.
Why Droughts Matter
Deep gaps are best read as context, not directional - they record variance across time. They provide a clean read on long-run variance.
Data Notes
This report summarizes observed outcomes for Thursday night, April 16, 2026 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
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.
Adding to the Long-Term Record
The return of 01 02 06 07 12 18 25 29 32 36 37 39 40 41 42 57 59 65 72 73 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.