Mega Millions Results
On Friday night, February 6, 2026, 13 21 25 52 62 reappeared after a -day drought in Delaware. The gap is large relative to 1 in 12,103,014 draws, placing it deep in the tail.
Winning numbers for 1 draw on February 6, 2026 in Delaware.
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, 13 21 25 52 62 reappeared after a -day drought in Delaware. The gap is large relative to 1 in 12,103,014 draws, placing it deep in the tail.
Overview
On Friday night, February 6, 2026, 13 21 25 52 62 reappeared after a -day drought in Delaware. The gap is large relative to 1 in 12,103,014 draws, placing it deep in the tail.
Combo Profile
The numbers in 13 21 25 52 62 cover a wide range (13 to 62) with no repeats.
Why Droughts Matter
Long gaps are best read as context, not predictive - they mark how variance accumulates over long samples. Their value is in long-horizon tracking.
Data Notes
The approach: this report records results recorded for Friday night, February 6, 2026 with comparison to long-run frequency baselines. The focus is documentation over prediction.
From Stepzero
At Stepzero, the priority is accuracy and context. This report is intended as a historical record entry, not a forecast.
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.
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 13 21 25 52 62 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.