Match 4 Results
On Tuesday night, May 27, 2025, the Match 4 draw in Washington produced a notable return: 01 02 07 15 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 May 27, 2025 in Washington.
Draw times: Evening.
Our take on the Match 4 results
May 27, 2025Match 4 report — Tuesday night, May 27, 2025: 01 02 07 15 shows a notable pattern
On Tuesday night, May 27, 2025, the Match 4 draw in Washington produced a notable return: 01 02 07 15 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 Tuesday night, May 27, 2025, the Match 4 draw in Washington produced a notable return: 01 02 07 15 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
As a number pattern, 01 02 07 15 uses 4 distinct numbers and a wide spread from 1 to 15.
Why Droughts Matter
Long gaps are descriptive, not a forecast - they show how distribution tails behave. Their value is in long-horizon tracking.
Data Notes
This analysis uses the draw results recorded for Tuesday night, May 27, 2025 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
Record-keeping at scale becomes the foundation for analysis. Each outcome, whether typical or unusual, contributes to the stability and clarity of the long-run picture.
Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to expected ranges.
Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their 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.