Multi-Match Results
On Monday night, May 26, 2025, in the Maryland Multi-Match draw, 01 06 13 20 22 33 landed again after days without an appearance for Maryland. Given an expected cadence of 1 in 6,096,454 draws, the interval lands deep in the long-gap tail.
Winning numbers for 1 draw on May 26, 2025 in Maryland.
Draw times: Evening.
Our take on the Multi-Match results
May 26, 2025Multi-Match report — Monday night, May 26, 2025: 01 06 13 20 22 33 shows a notable pattern
On Monday night, May 26, 2025, in the Maryland Multi-Match draw, 01 06 13 20 22 33 landed again after days without an appearance for Maryland. Given an expected cadence of 1 in 6,096,454 draws, the interval lands deep in the long-gap tail.
Overview
On Monday night, May 26, 2025, in the Maryland Multi-Match draw, 01 06 13 20 22 33 landed again after days without an appearance for Maryland. Given an expected cadence of 1 in 6,096,454 draws, the interval lands deep in the long-gap tail.
Combo Profile
Beyond the drought, the numbers show a clean structure: 6 distinct numbers with no repeats, spanning 1 to 33 (wide spread).
Why Droughts Matter
Droughts do not indicate what will happen next - they simply document what has already occurred. Their value lies in measuring distribution over long horizons and identifying when a combination performs far above or below its expected appearance rate.
Data Notes
This report summarizes observed outcomes for Monday night, May 26, 2025 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
The core idea: these reports are intended to keep a calm, evidence-first record as a record, not a recommendation. The intent is clarity, not prediction.
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. 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
The return of 01 06 13 20 22 33 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.