Mega Millions Results
On Friday night, March 21, 2025, the Mega Millions draw in Vermont brought 15 22 31 52 57 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 March 21, 2025 in Vermont.
Draw times: Evening.
Our take on the Mega Millions results
March 21, 2025Mega Millions report — Friday night, March 21, 2025: 15 22 31 52 57 shows a notable pattern
On Friday night, March 21, 2025, the Mega Millions draw in Vermont brought 15 22 31 52 57 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, March 21, 2025, the Mega Millions draw in Vermont brought 15 22 31 52 57 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 15 22 31 52 57 cover a wide range (15 to 57) with no repeats.
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
The approach: this analysis records the draw results for Friday night, March 21, 2025 and benchmarks them against historical frequency baselines. The goal is context, not prediction.
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.
Context improves with scale. As more draws accumulate, isolated anomalies either normalize into baseline rates or reveal persistent deviations that warrant closer monitoring.
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
Across the long-horizon record, today's outcome adds another data point to the archive. Reliability is a function of the growing record.