Bonus Match 5 Results
On Saturday night, March 21, 2026, for Maryland's Bonus Match 5 draw, 01 02 30 36 37 came back after days without an appearance in Maryland. Given an expected cadence of 1 in 575,757 draws, the interval lands deep in the long-gap tail.
Winning numbers for 1 draw on March 21, 2026 in Maryland.
Draw times: Evening.
Our take on the Bonus Match 5 results
March 21, 2026Bonus Match 5 report — Saturday night, March 21, 2026: 01 02 30 36 37 shows a notable pattern
On Saturday night, March 21, 2026, for Maryland's Bonus Match 5 draw, 01 02 30 36 37 came back after days without an appearance in Maryland. Given an expected cadence of 1 in 575,757 draws, the interval lands deep in the long-gap tail.
Overview
On Saturday night, March 21, 2026, for Maryland's Bonus Match 5 draw, 01 02 30 36 37 came back after days without an appearance in Maryland. Given an expected cadence of 1 in 575,757 draws, the interval lands deep in the long-gap tail.
Combo Profile
The numbers in 01 02 30 36 37 cover a wide range (1 to 37) with no repeats.
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
This report summarizes observed outcomes for Saturday night, March 21, 2026 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
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.
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 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.