Mega Millions Results
On Tuesday night, September 9, 2025, the Mega Millions draw in Vermont brought 06 43 52 64 65 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 September 9, 2025 in Vermont.
Draw times: Evening.
Our take on the Mega Millions results
September 9, 2025Mega Millions report — Tuesday night, September 9, 2025: 06 43 52 64 65 shows a notable pattern
On Tuesday night, September 9, 2025, the Mega Millions draw in Vermont brought 06 43 52 64 65 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 Tuesday night, September 9, 2025, the Mega Millions draw in Vermont brought 06 43 52 64 65 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 outcome lands on 5 distinct numbers with no repeats in the pattern. The range from 6 to 65 is a wide spread.
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
This report summarizes observed outcomes for Tuesday night, September 9, 2025 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
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
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. 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
Over the broader record, this appearance adds another data point to the historical dataset. The long-run picture sharpens as entries accrue.