Keno Results
On Sunday night, June 22, 2025, the Keno draw in Washington produced a notable return: 01 03 08 10 12 17 18 21 23 26 27 28 29 32 43 48 55 64 66 67 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 June 22, 2025 in Washington.
Draw times: Evening.
Our take on the Keno results
June 22, 2025Keno report — Sunday night, June 22, 2025: 01 03 08 10 12 17 18 21 23 26 27 28 29 32 43 48 55 64 66 67 shows a notable pattern
On Sunday night, June 22, 2025, the Keno draw in Washington produced a notable return: 01 03 08 10 12 17 18 21 23 26 27 28 29 32 43 48 55 64 66 67 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 Sunday night, June 22, 2025, the Keno draw in Washington produced a notable return: 01 03 08 10 12 17 18 21 23 26 27 28 29 32 43 48 55 64 66 67 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 03 08 10 12 17 18 21 23 26 27 28 29 32 43 48 55 64 66 67 uses 20 distinct numbers and a wide spread from 1 to 67.
Why Droughts Matter
Extended absences like this provide context, not direction. They show how randomness behaves across large samples and help analysts quantify how often the system deviates from its baseline cadence.
Data Notes
Results are evaluated against historical frequency baselines where available. The goal is documentation and context rather than prediction.
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
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.
Adding to the Long-Term Record
The return of 01 03 08 10 12 17 18 21 23 26 27 28 29 32 43 48 55 64 66 67 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.