Match 4 Results
On Thursday night, April 9, 2026, the Match 4 draw in Washington produced a notable return: 01 02 19 22 after days of absence. Against an expected cadence of 1 in 10,626 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Winning numbers for 1 draw on April 9, 2026 in Washington.
Draw times: Evening.
Our take on the Match 4 results
April 9, 2026Match 4 report — Thursday night, April 9, 2026: 01 02 19 22 shows a notable pattern
On Thursday night, April 9, 2026, the Match 4 draw in Washington produced a notable return: 01 02 19 22 after days of absence. Against an expected cadence of 1 in 10,626 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Overview
On Thursday night, April 9, 2026, the Match 4 draw in Washington produced a notable return: 01 02 19 22 after days of absence. Against an expected cadence of 1 in 10,626 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Combo Profile
The numbers in 01 02 19 22 cover a wide range (1 to 22) with no repeats.
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
As documented: this analysis summarizes the results logged for Thursday night, April 9, 2026 and evaluates them against long-run frequency baselines. This is documentation, not a forecast.
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 measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges.
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.