Bonus Match 5 Results
On Thursday night, May 21, 2026, the Bonus Match 5 draw in Maryland marked a notable return: 03 22 25 30 31 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 May 21, 2026 in Maryland.
Draw times: Evening.
Our take on the Bonus Match 5 results
May 21, 2026Bonus Match 5 report — Thursday night, May 21, 2026: 03 22 25 30 31 shows a notable pattern
On Thursday night, May 21, 2026, the Bonus Match 5 draw in Maryland marked a notable return: 03 22 25 30 31 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 Thursday night, May 21, 2026, the Bonus Match 5 draw in Maryland marked a notable return: 03 22 25 30 31 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
As a number pattern, 03 22 25 30 31 uses 5 distinct numbers and a wide spread from 3 to 31.
Why Droughts Matter
A long drought is descriptive rather than predictive. It records variance across time and helps analysts evaluate whether outcomes are tracking within expected frequency bands or drifting into the tails of the distribution.
Data Notes
The approach: this report captures observed outcomes for Thursday night, May 21, 2026 and compares them to historical cadence. The focus is documentation over prediction.
From Stepzero
At Stepzero, the priority is accuracy and context. This report is intended as a historical record entry, not a forecast.
Additional Context
Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to expected ranges. 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
With its return, 03 22 25 30 31 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.