Keno Results
On Wednesday night, May 20, 2026 in Washington, 10 11 14 16 17 23 24 27 33 35 38 43 48 51 55 61 64 69 71 76 landed again after days out of the results for Washington. Against the expected cadence of 1 in 3,535,316,142,212,174,300 draws, the interval is well beyond typical spacing.
Winning numbers for 1 draw on May 20, 2026 in Washington.
Draw times: Evening.
Our take on the Keno results
May 20, 2026Keno report — Wednesday night, May 20, 2026: 10 11 14 16 17 23 24 27 33 35 38 43 48 51 55 61 64 69 71 76 shows a notable pattern
On Wednesday night, May 20, 2026 in Washington, 10 11 14 16 17 23 24 27 33 35 38 43 48 51 55 61 64 69 71 76 landed again after days out of the results for Washington. Against the expected cadence of 1 in 3,535,316,142,212,174,300 draws, the interval is well beyond typical spacing.
Overview
On Wednesday night, May 20, 2026 in Washington, 10 11 14 16 17 23 24 27 33 35 38 43 48 51 55 61 64 69 71 76 landed again after days out of the results for Washington. Against the expected cadence of 1 in 3,535,316,142,212,174,300 draws, the interval is well beyond typical spacing.
Combo Profile
The numbers in 10 11 14 16 17 23 24 27 33 35 38 43 48 51 55 61 64 69 71 76 cover a wide range (10 to 76) with no repeats.
Why Droughts Matter
Deep gaps remain descriptive, not prescriptive - they mark how variance accumulates over long samples. They provide a clean read on long-run variance.
Data Notes
The method: this report captures the results logged for Wednesday night, May 20, 2026 and anchors them against historical cadence. The goal is context, not prediction.
From Stepzero
The takeaway: this reporting is built to keep the long-horizon record steady for analysts and long-run tracking. The aim is a trustworthy record.
Additional Context
Stability comes from the accumulation of entries. One draw alone does not define the pattern, but the record grows more reliable with each addition to the dataset. 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.