Mega Millions Results
On Tuesday night, January 6, 2026, the Mega Millions draw in Wisconsin marked a notable return: 09 39 47 58 68 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 6, 2026 in Wisconsin.
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 Wisconsin marked a notable return: 09 39 47 58 68 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 Tuesday night, January 6, 2026, the Mega Millions draw in Wisconsin marked a notable return: 09 39 47 58 68 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
Beyond the drought, the numbers show a clean structure: 5 distinct numbers with no repeats, spanning 9 to 68 (wide spread).
Why Droughts Matter
Prolonged absences are descriptive, not forward-looking - they show where spacing departs from typical cadence. They make variance visible across extended windows.
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
The core idea: this reporting is designed to keep the record consistent over time for analysts and long-run tracking. The priority is accuracy and continuity.
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.
Adding to the Long-Term Record
Over the long run, this draw adds a new point to the dataset to the long-horizon record. Reliability is a function of the growing record.