Keno Results
On Wednesday night, April 1, 2026, the Keno draw in Washington produced a notable return: 02 04 06 10 19 25 35 42 43 48 52 53 62 66 67 69 70 71 74 77 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 1, 2026 in Washington.
Draw times: Evening.
Our take on the Keno results
April 1, 2026Keno report — Wednesday night, April 1, 2026: 02 04 06 10 19 25 35 42 43 48 52 53 62 66 67 69 70 71 74 77 shows a notable pattern
On Wednesday night, April 1, 2026, the Keno draw in Washington produced a notable return: 02 04 06 10 19 25 35 42 43 48 52 53 62 66 67 69 70 71 74 77 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 Wednesday night, April 1, 2026, the Keno draw in Washington produced a notable return: 02 04 06 10 19 25 35 42 43 48 52 53 62 66 67 69 70 71 74 77 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
From a number profile angle, the pattern contains 20 distinct numbers while showing no repeats. The numbers cover 2 to 77 with a wide range.
Why Droughts Matter
Extended gaps are context markers, not directional - they show how distribution tails behave. They clarify how far outcomes drift from baseline cadence.
Data Notes
This report summarizes observed outcomes for Wednesday night, April 1, 2026 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
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 tracking is the only reliable way to separate short-term noise from persistent drift. By logging each outcome against its expected cadence, the system builds a distribution profile that becomes more stable as the sample grows. Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to expected ranges.
Adding to the Long-Term Record
Over the broader record, this result adds another archive entry to the cumulative record. Long-horizon stability comes from accumulation.