Mega Millions Results
On Friday night, December 26, 2025, during the Mega Millions draw in Vermont, 09 19 31 63 64 reappeared after days without an appearance in Vermont. Against the expected cadence of 1 in 12,103,014 draws, the interval is well beyond typical spacing.
Winning numbers for 1 draw on December 26, 2025 in Vermont.
Draw times: Evening.
Our take on the Mega Millions results
December 26, 2025Mega Millions report — Friday night, December 26, 2025: 09 19 31 63 64 shows a notable pattern
On Friday night, December 26, 2025, during the Mega Millions draw in Vermont, 09 19 31 63 64 reappeared after days without an appearance in Vermont. Against the expected cadence of 1 in 12,103,014 draws, the interval is well beyond typical spacing.
Overview
On Friday night, December 26, 2025, during the Mega Millions draw in Vermont, 09 19 31 63 64 reappeared after days without an appearance in Vermont. Against the expected cadence of 1 in 12,103,014 draws, the interval is well beyond typical spacing.
Combo Profile
The numbers in 09 19 31 63 64 cover a wide range (9 to 64) with no repeats.
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
Results are evaluated against historical frequency baselines where available. The goal is documentation and context rather than 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
Context improves with scale. As more draws accumulate, isolated anomalies either normalize into baseline rates or reveal persistent deviations that warrant closer monitoring.
Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges.
Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges.
Adding to the Long-Term Record
The return of 09 19 31 63 64 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.