Mega Millions Results
On Friday night, January 9, 2026, the Mega Millions draw in Massachusetts marked a notable return: 12 30 36 42 47 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 January 9, 2026 in Massachusetts.
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 Massachusetts marked a notable return: 12 30 36 42 47 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 Friday night, January 9, 2026, the Mega Millions draw in Massachusetts marked a notable return: 12 30 36 42 47 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 12 30 36 42 47 cover a wide range (12 to 47) with no repeats.
Why Droughts Matter
Extended gaps are context, not forward-looking - they track where outcomes drift from baseline spacing. They clarify how far outcomes drift from baseline cadence.
Data Notes
This report summarizes observed outcomes for Friday night, January 9, 2026 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
Stepzero produces these reports to provide a calm, evidence-first record of how draw patterns unfold over time. The aim is clarity and continuity - a reference point for long-horizon tracking rather than a call to action.
Additional Context
Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges. 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.