Bonus Match 5 Results
On Sunday night, March 1, 2026, the Bonus Match 5 draw in Maryland brought 02 05 12 18 31 back after days away. Given an expected cadence of 1 in 575,757 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Winning numbers for 1 draw on March 1, 2026 in Maryland.
Draw times: Evening.
Our take on the Bonus Match 5 results
March 1, 2026Bonus Match 5 report — Sunday night, March 1, 2026: 02 05 12 18 31 shows a notable pattern
On Sunday night, March 1, 2026, the Bonus Match 5 draw in Maryland brought 02 05 12 18 31 back after days away. Given an expected cadence of 1 in 575,757 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Overview
On Sunday night, March 1, 2026, the Bonus Match 5 draw in Maryland brought 02 05 12 18 31 back after days away. Given an expected cadence of 1 in 575,757 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Combo Profile
From a number profile angle, the outcome uses 5 distinct numbers with no repeats present. The numbers cover 2 to 31 with a wide range.
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 Sunday night, March 1, 2026 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
To be clear: this reporting is shaped to keep the record consistent over time as context for disciplined analysis. The intent is clarity, not prediction.
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.
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.