Mega Millions Results
On Friday night, February 6, 2026, the Mega Millions draw in Maryland brought 13 21 25 52 62 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 6, 2026 in Maryland.
Draw times: Evening.
Our take on the Mega Millions results
February 6, 2026Mega Millions report — Friday night, February 6, 2026: 13 21 25 52 62 shows a notable pattern
On Friday night, February 6, 2026, the Mega Millions draw in Maryland brought 13 21 25 52 62 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 6, 2026, the Mega Millions draw in Maryland brought 13 21 25 52 62 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
As a number pattern, 13 21 25 52 62 uses 5 distinct numbers and a wide spread from 13 to 62.
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
The method: this analysis summarizes the draw results for Friday night, February 6, 2026 with comparison to long-run frequency baselines. This is documentation, not a forecast.
From Stepzero
Simply put: this reporting is shaped to sustain continuity in the archive for analysts and long-run tracking. The goal is clarity and stability.
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. 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
With its return, 13 21 25 52 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.