Mega Millions Results
In the Mega Millions draw on Friday night, February 6, 2026, 13 21 25 52 62 landed again following a -day absence in California. By the expected cadence of 1 in 12,103,014 draws, the interval is a long-gap event.
Winning numbers for 1 draw on February 6, 2026 in California.
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
In the Mega Millions draw on Friday night, February 6, 2026, 13 21 25 52 62 landed again following a -day absence in California. By the expected cadence of 1 in 12,103,014 draws, the interval is a long-gap event.
Overview
In the Mega Millions draw on Friday night, February 6, 2026, 13 21 25 52 62 landed again following a -day absence in California. By the expected cadence of 1 in 12,103,014 draws, the interval is a long-gap event.
Combo Profile
The numbers in 13 21 25 52 62 cover a wide range (13 to 62) 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 6, 2026 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
To be clear: this reporting is built to keep the long-horizon record steady as a reliable record for analysts. The goal is clarity and stability.
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. Stability comes from the accumulation of entries. One draw alone does not define the pattern, but the record grows more reliable with each addition to the dataset.
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.