Bonus Match 5 Results
On Wednesday night, May 13, 2026, the Bonus Match 5 draw in Maryland marked a notable return: 09 13 22 37 38 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 13, 2026 in Maryland.
Draw times: Evening.
Our take on the Bonus Match 5 results
May 13, 2026Bonus Match 5 report — Wednesday night, May 13, 2026: 09 13 22 37 38 shows a notable pattern
On Wednesday night, May 13, 2026, the Bonus Match 5 draw in Maryland marked a notable return: 09 13 22 37 38 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 Wednesday night, May 13, 2026, the Bonus Match 5 draw in Maryland marked a notable return: 09 13 22 37 38 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 09 13 22 37 38 cover a wide range (9 to 38) 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
Specifically: this analysis documents observed outcomes for Wednesday night, May 13, 2026 with benchmarking against long-run cadence. The focus is documentation over prediction.
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
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
The return of 09 13 22 37 38 expands the archive by one more data point. It is the accumulation of these entries, not a single draw, that defines the reliability of long-horizon analysis.