MEGA_MILLIONS Results
On Friday night, January 9, 2026, the MEGA_MILLIONS draw in New Hampshire brought 12 30 36 42 47 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 January 9, 2026 in New Hampshire.
Draw times: Evening.
Our take on the MEGA_MILLIONS results
January 9, 2026MEGA_MILLIONS report — Friday night, January 9, 2026: 12 30 36 42 47 shows a notable pattern
On Friday night, January 9, 2026, the MEGA_MILLIONS draw in New Hampshire brought 12 30 36 42 47 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, January 9, 2026, the MEGA_MILLIONS draw in New Hampshire brought 12 30 36 42 47 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
Structurally, this sequence uses 5 distinct numbers with no repeats in the pattern. Its range is 12 to 47 with a wide spread.
Why Droughts Matter
Deep gaps are best treated as context, not forward-looking - they highlight the tail behavior of the system. They provide a clean read on long-run variance.
Data Notes
Results are evaluated against historical frequency baselines where available. The goal is documentation and context rather than prediction.
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.
Context improves with scale. As more draws accumulate, isolated anomalies either normalize into baseline rates or reveal persistent deviations that warrant closer monitoring.
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
The return of 12 30 36 42 47 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.