Mega Millions Results
On Tuesday night, January 6, 2026, the Mega Millions draw in Massachusetts brought 09 39 47 58 68 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 6, 2026 in Massachusetts.
Draw times: Evening.
Our take on the Mega Millions results
January 6, 2026Mega Millions report — Tuesday night, January 6, 2026: 09 39 47 58 68 shows a notable pattern
On Tuesday night, January 6, 2026, the Mega Millions draw in Massachusetts brought 09 39 47 58 68 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, January 6, 2026, the Mega Millions draw in Massachusetts brought 09 39 47 58 68 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 pattern, 09 39 47 58 68 uses 5 distinct numbers and a wide spread from 9 to 68.
Why Droughts Matter
Long droughts are best treated as context, not a signal - they show where spacing departs from typical cadence. They provide a clean read on long-run variance.
Data Notes
This analysis uses the draw results recorded for Tuesday night, January 6, 2026 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
Simply put: this reporting is built to keep the record consistent over time as a reference point for continuity. The aim is context, not 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 09 39 47 58 68 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.