Keno Results
On Monday night, February 16, 2026, in the Washington Keno draw, 05 07 11 22 24 26 29 41 43 46 52 53 55 56 67 72 74 76 79 80 showed up again after a -day gap in Washington. Given an expected cadence of 1 in 3,535,316,142,212,174,300 draws, the interval lands deep in the long-gap tail.
Winning numbers for 1 draw on February 16, 2026 in Washington.
Draw times: Evening.
Our take on the Keno results
February 16, 2026Keno report — Monday night, February 16, 2026: 05 07 11 22 24 26 29 41 43 46 52 53 55 56 67 72 74 76 79 80 shows a notable pattern
On Monday night, February 16, 2026, in the Washington Keno draw, 05 07 11 22 24 26 29 41 43 46 52 53 55 56 67 72 74 76 79 80 showed up again after a -day gap in Washington. Given an expected cadence of 1 in 3,535,316,142,212,174,300 draws, the interval lands deep in the long-gap tail.
Overview
On Monday night, February 16, 2026, in the Washington Keno draw, 05 07 11 22 24 26 29 41 43 46 52 53 55 56 67 72 74 76 79 80 showed up again after a -day gap in Washington. Given an expected cadence of 1 in 3,535,316,142,212,174,300 draws, the interval lands deep in the long-gap tail.
Combo Profile
As a number pattern, 05 07 11 22 24 26 29 41 43 46 52 53 55 56 67 72 74 76 79 80 uses 20 distinct numbers and a wide spread from 5 to 80.
Why Droughts Matter
Long gaps function as context, not a forecast - they record variance across time. Their value is in long-horizon tracking.
Data Notes
This analysis uses the draw results recorded for Monday night, February 16, 2026 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
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
Context improves with scale. As more draws accumulate, isolated anomalies either normalize into baseline rates or reveal persistent deviations that warrant closer monitoring. 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
This result adds a measurable entry to the long-term record. Over time, those entries are what sharpen distribution analysis and reveal whether the system is tracking its expected cadence.