Bonus Match 5 Results
On Tuesday night, April 21, 2026, the Bonus Match 5 draw in Maryland brought 02 03 13 25 36 back after days away. Given an expected cadence of 1 in 575,757 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Winning numbers for 1 draw on April 21, 2026 in Maryland.
Draw times: Evening.
Our take on the Bonus Match 5 results
April 21, 2026Bonus Match 5 report — Tuesday night, April 21, 2026: 02 03 13 25 36 shows a notable pattern
On Tuesday night, April 21, 2026, the Bonus Match 5 draw in Maryland brought 02 03 13 25 36 back after days away. Given an expected cadence of 1 in 575,757 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Overview
On Tuesday night, April 21, 2026, the Bonus Match 5 draw in Maryland brought 02 03 13 25 36 back after days away. Given an expected cadence of 1 in 575,757 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Combo Profile
In structural terms, this draw settles on 5 distinct numbers with no repeats present. The spread runs 2 to 36 (wide).
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
To clarify: this analysis summarizes the results logged for Tuesday night, April 21, 2026 with benchmarking against long-run cadence. It is context-focused, not predictive.
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
Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to expected ranges. 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.
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.