Bonus Match 5 Results
On Friday night, March 13, 2026, the Bonus Match 5 draw in Maryland produced a notable return: 14 27 31 34 36 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 13, 2026 in Maryland.
Draw times: Evening.
Our take on the Bonus Match 5 results
March 13, 2026Bonus Match 5 report — Friday night, March 13, 2026: 14 27 31 34 36 shows a notable pattern
On Friday night, March 13, 2026, the Bonus Match 5 draw in Maryland produced a notable return: 14 27 31 34 36 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 Friday night, March 13, 2026, the Bonus Match 5 draw in Maryland produced a notable return: 14 27 31 34 36 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
The numbers in 14 27 31 34 36 cover a wide range (14 to 36) with no repeats.
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
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 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
Over the long run, this appearance adds a new point to the dataset to the archive. The long-run picture sharpens as entries accrue.