Bonus Match 5 Results
On Tuesday night, March 3, 2026, the Bonus Match 5 draw in Maryland produced a notable return: 10 13 19 23 25 after days of absence. Against an expected cadence of 1 in 575,757 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Winning numbers for 1 draw on March 3, 2026 in Maryland.
Draw times: Evening.
Our take on the Bonus Match 5 results
March 3, 2026Bonus Match 5 report — Tuesday night, March 3, 2026: 10 13 19 23 25 shows a notable pattern
On Tuesday night, March 3, 2026, the Bonus Match 5 draw in Maryland produced a notable return: 10 13 19 23 25 after days of absence. Against an expected cadence of 1 in 575,757 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Overview
On Tuesday night, March 3, 2026, the Bonus Match 5 draw in Maryland produced a notable return: 10 13 19 23 25 after days of absence. Against an expected cadence of 1 in 575,757 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Combo Profile
As a number pattern, 10 13 19 23 25 uses 5 distinct numbers and a wide spread from 10 to 25.
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
This analysis uses the draw results recorded for Tuesday night, March 3, 2026 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
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
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
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.