Bonus Match 5 Results
In the Bonus Match 5 draw on Wednesday night, March 25, 2026, 06 09 13 18 24 resurfaced following a -day absence in the Maryland draw record. Given an expected cadence of 1 in 575,757 draws, the interval lands deep in the long-gap tail.
Winning numbers for 1 draw on March 25, 2026 in Maryland.
Draw times: Evening.
Our take on the Bonus Match 5 results
March 25, 2026Bonus Match 5 report — Wednesday night, March 25, 2026: 06 09 13 18 24 shows a notable pattern
In the Bonus Match 5 draw on Wednesday night, March 25, 2026, 06 09 13 18 24 resurfaced following a -day absence in the Maryland draw record. Given an expected cadence of 1 in 575,757 draws, the interval lands deep in the long-gap tail.
Overview
In the Bonus Match 5 draw on Wednesday night, March 25, 2026, 06 09 13 18 24 resurfaced following a -day absence in the Maryland draw record. Given an expected cadence of 1 in 575,757 draws, the interval lands deep in the long-gap tail.
Combo Profile
The numbers in 06 09 13 18 24 cover a wide range (6 to 24) with no repeats.
Why Droughts Matter
Extended absences like this provide context, not direction. They show how randomness behaves across large samples and help analysts quantify how often the system deviates from its baseline cadence.
Data Notes
Results are evaluated against historical frequency baselines where available. The goal is documentation and context rather than prediction.
From Stepzero
Stepzero produces these reports to provide a calm, evidence-first record of how draw patterns unfold over time. The aim is clarity and continuity - a reference point for long-horizon tracking rather than a call to action.
Additional Context
Stability comes from the accumulation of entries. One draw alone does not define the pattern, but the record grows more reliable with each addition to the dataset. 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
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.