Bonus Match 5 Results
On Monday night, April 20, 2026, the Bonus Match 5 draw in Maryland marked a notable return: 01 12 21 25 26 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 575,757 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Winning numbers for 1 draw on April 20, 2026 in Maryland.
Draw times: Evening.
Our take on the Bonus Match 5 results
April 20, 2026Bonus Match 5 report — Monday night, April 20, 2026: 01 12 21 25 26 shows a notable pattern
On Monday night, April 20, 2026, the Bonus Match 5 draw in Maryland marked a notable return: 01 12 21 25 26 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 575,757 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Overview
On Monday night, April 20, 2026, the Bonus Match 5 draw in Maryland marked a notable return: 01 12 21 25 26 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 575,757 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Combo Profile
The numbers in 01 12 21 25 26 cover a wide range (1 to 26) with no repeats.
Why Droughts Matter
Prolonged absences are best treated as context, not forward-looking - they highlight the tail behavior of the system. They provide a clean read on long-run variance.
Data Notes
This report summarizes observed outcomes for Monday night, April 20, 2026 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
At its core: this series is designed to document distribution behavior over time for analysts and long-run tracking. The priority is accuracy and continuity.
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 tracking is the only reliable way to separate short-term noise from persistent drift. By logging each outcome against its expected cadence, the system builds a distribution profile that becomes more stable as the sample grows.
Adding to the Long-Term Record
With its return, 01 12 21 25 26 contributes another meaningful data point to the historical dataset. Each draw - whether routine or statistically unusual - refines the long-term view of how large random systems behave over time.