Mega Millions Results
On Tuesday night, March 25, 2025, for Maryland's Mega Millions draw, 01 05 17 39 62 reappeared following a -day absence in Maryland. By the expected cadence of 1 in 12,103,014 draws, the interval is a long-gap event.
Winning numbers for 1 draw on March 25, 2025 in Maryland.
Draw times: Evening.
Our take on the Mega Millions results
March 25, 2025Mega Millions report — Tuesday night, March 25, 2025: 01 05 17 39 62 shows a notable pattern
On Tuesday night, March 25, 2025, for Maryland's Mega Millions draw, 01 05 17 39 62 reappeared following a -day absence in Maryland. By the expected cadence of 1 in 12,103,014 draws, the interval is a long-gap event.
Overview
On Tuesday night, March 25, 2025, for Maryland's Mega Millions draw, 01 05 17 39 62 reappeared following a -day absence in Maryland. By the expected cadence of 1 in 12,103,014 draws, the interval is a long-gap event.
Combo Profile
As a number pattern, 01 05 17 39 62 uses 5 distinct numbers and a wide spread from 1 to 62.
Why Droughts Matter
Large gaps are best read as context, not a cue - they show where spacing departs from typical cadence. They help quantify how often outcomes move into the tails.
Data Notes
Specifically: this analysis records observed outcomes for Tuesday night, March 25, 2025 with reference to historical frequency baselines. This is descriptive, not predictive.
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
Record-keeping at scale becomes the foundation for analysis. Each outcome, whether typical or unusual, contributes to the stability and clarity of the long-run picture. 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
With its return, 01 05 17 39 62 contributes another meaningful data point to the historical dataset. Each draw - whether routine or statistically unusual - refines the long-term view of how large random systems behave over time.