Mega Millions Results
On Friday night, February 21, 2025, the Mega Millions draw in Wisconsin produced a notable return: 01 13 28 37 46 after days of absence. Against an expected cadence of 1 in 12,103,014 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Winning numbers for 1 draw on February 21, 2025 in Wisconsin.
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 Wisconsin produced a notable return: 01 13 28 37 46 after days of absence. Against an expected cadence of 1 in 12,103,014 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Overview
On Friday night, February 21, 2025, the Mega Millions draw in Wisconsin produced a notable return: 01 13 28 37 46 after days of absence. Against an expected cadence of 1 in 12,103,014 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Combo Profile
As a number pattern, 01 13 28 37 46 uses 5 distinct numbers and a wide spread from 1 to 46.
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
In detail: this report summarizes the results logged for Friday night, February 21, 2025 and benchmarks them against historical frequency baselines. This is descriptive, not predictive.
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
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. Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to expected ranges.
Adding to the Long-Term Record
The return of 01 13 28 37 46 expands the archive by one more data point. It is the accumulation of these entries, not a single draw, that defines the reliability of long-horizon analysis.