Multi-Match Results
On Thursday night, May 2, 2024, the Multi-Match draw in Maryland produced a notable return: 04 12 22 26 33 36 after days of absence. Against an expected cadence of 1 in 6,096,454 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Winning numbers for 1 draw on May 2, 2024 in Maryland.
Draw times: Evening.
Our take on the Multi-Match results
May 2, 2024Multi-Match report — Thursday night, May 2, 2024: 04 12 22 26 33 36 shows a notable pattern
On Thursday night, May 2, 2024, the Multi-Match draw in Maryland produced a notable return: 04 12 22 26 33 36 after days of absence. Against an expected cadence of 1 in 6,096,454 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Overview
On Thursday night, May 2, 2024, the Multi-Match draw in Maryland produced a notable return: 04 12 22 26 33 36 after days of absence. Against an expected cadence of 1 in 6,096,454 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Combo Profile
As a number pattern, 04 12 22 26 33 36 uses 6 distinct numbers and a wide spread from 4 to 36.
Why Droughts Matter
Extended absences like this provide context, not direction. They show how randomness behaves across large samples and help analysts quantify how often the system deviates from its baseline cadence.
Data Notes
In detail: this report captures outcomes documented for Thursday night, May 2, 2024 and anchors them against historical cadence. This is descriptive, not predictive.
From Stepzero
In summary: this reporting is shaped to document distribution behavior over time as a reference point for continuity. The goal is clarity and stability.
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. 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
The return of 04 12 22 26 33 36 expands the archive by one more data point. It is the accumulation of these entries, not a single draw, that defines the reliability of long-horizon analysis.