Mega Millions Results
On Friday night, November 28, 2025, the Mega Millions draw in West Virginia brought 06 07 13 39 48 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 November 28, 2025 in West Virginia.
Draw times: Evening.
Our take on the Mega Millions results
November 28, 2025Mega Millions report — Friday night, November 28, 2025: 06 07 13 39 48 shows a notable pattern
On Friday night, November 28, 2025, the Mega Millions draw in West Virginia brought 06 07 13 39 48 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, November 28, 2025, the Mega Millions draw in West Virginia brought 06 07 13 39 48 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 shape, the pattern holds 5 distinct numbers with no repeats present. The range sits at 6 to 48, a wide spread.
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 Friday night, November 28, 2025 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
Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to expected ranges. 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.
Adding to the Long-Term Record
In long-horizon tracking, this entry adds a fresh entry to the record to the long-run dataset. Reliability is a function of the growing record.