Mega Millions Results
On Tuesday night, February 3, 2026, the Mega Millions draw in Vermont marked a notable return: 05 11 22 25 69 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 12,103,014 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Winning numbers for 1 draw on February 3, 2026 in Vermont.
Draw times: Evening.
Our take on the Mega Millions results
February 3, 2026Mega Millions report — Tuesday night, February 3, 2026: 05 11 22 25 69 shows a notable pattern
On Tuesday night, February 3, 2026, the Mega Millions draw in Vermont marked a notable return: 05 11 22 25 69 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 12,103,014 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Overview
On Tuesday night, February 3, 2026, the Mega Millions draw in Vermont marked a notable return: 05 11 22 25 69 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 12,103,014 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Combo Profile
The numbers in 05 11 22 25 69 cover a wide range (5 to 69) 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 analysis uses the draw results recorded for Tuesday night, February 3, 2026 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
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
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
In the broader record, this entry adds one more entry to the long-run dataset. The accumulation, not any single draw, builds reliability.