Mega Millions Results
On Friday night, February 21, 2025, the Mega Millions draw in Vermont brought 01 13 28 37 46 back after days away. Given an expected cadence of 1 in 12,103,014 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 February 21, 2025 in Vermont.
Draw times: Evening.
Our take on the Mega Millions results
February 21, 2025Mega Millions report — Friday night, February 21, 2025: 01 13 28 37 46 shows a notable pattern
On Friday night, February 21, 2025, the Mega Millions draw in Vermont brought 01 13 28 37 46 back after days away. Given an expected cadence of 1 in 12,103,014 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Overview
On Friday night, February 21, 2025, the Mega Millions draw in Vermont brought 01 13 28 37 46 back after days away. Given an expected cadence of 1 in 12,103,014 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Combo Profile
The numbers in 01 13 28 37 46 cover a wide range (1 to 46) with no repeats.
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 report summarizes observed outcomes for Friday night, February 21, 2025 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
In summary: these reports are intended to maintain continuity across the record as a record, not a recommendation. The aim is a trustworthy record.
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. Context improves with scale. As more draws accumulate, isolated anomalies either normalize into baseline rates or reveal persistent deviations that warrant closer monitoring.
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.