Bonus Match 5 Results
On Monday night, June 1, 2026, the Bonus Match 5 draw in Maryland produced a notable return: 05 09 17 18 27 after days of absence. Against an expected cadence of 1 in 575,757 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Winning numbers for 1 draw on June 1, 2026 in Maryland.
Draw times: Evening.
Our take on the Bonus Match 5 results
June 1, 2026Bonus Match 5 report — Monday night, June 1, 2026: 05 09 17 18 27 shows a notable pattern
On Monday night, June 1, 2026, the Bonus Match 5 draw in Maryland produced a notable return: 05 09 17 18 27 after days of absence. Against an expected cadence of 1 in 575,757 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Overview
On Monday night, June 1, 2026, the Bonus Match 5 draw in Maryland produced a notable return: 05 09 17 18 27 after days of absence. Against an expected cadence of 1 in 575,757 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Combo Profile
The numbers in 05 09 17 18 27 cover a wide range (5 to 27) with no repeats.
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, June 1, 2026 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
At its core: these reports are intended to sustain continuity in the archive as a reliable record for analysts. The focus is long-horizon context.
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
Over the broader record, this result adds one more entry to the long-run dataset. Stability comes from the growing record, not any one draw.