Keno Results
On Sunday night, November 16, 2025, in the Washington Keno draw, 07 11 22 25 27 29 36 37 42 43 46 48 51 55 64 65 69 71 73 75 came back following a -day absence in Washington results. 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 November 16, 2025 in Washington.
Draw times: Evening.
Our take on the Keno results
November 16, 2025Keno report — Sunday night, November 16, 2025: 07 11 22 25 27 29 36 37 42 43 46 48 51 55 64 65 69 71 73 75 shows a notable pattern
On Sunday night, November 16, 2025, in the Washington Keno draw, 07 11 22 25 27 29 36 37 42 43 46 48 51 55 64 65 69 71 73 75 came back following a -day absence in Washington results. 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 Sunday night, November 16, 2025, in the Washington Keno draw, 07 11 22 25 27 29 36 37 42 43 46 48 51 55 64 65 69 71 73 75 came back following a -day absence in Washington results. 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, 07 11 22 25 27 29 36 37 42 43 46 48 51 55 64 65 69 71 73 75 uses 20 distinct numbers and a wide spread from 7 to 75.
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
This analysis uses the draw results recorded for Sunday night, November 16, 2025 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
At Stepzero, the priority is accuracy and context. This report is intended as a historical record entry, not a forecast.
Additional Context
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
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.