Mega Millions Results
On Tuesday night, November 11, 2025, the Mega Millions draw in Wisconsin marked a notable return: 10 13 40 42 46 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 November 11, 2025 in Wisconsin.
Draw times: Evening.
Our take on the Mega Millions results
November 11, 2025Mega Millions report — Tuesday night, November 11, 2025: 10 13 40 42 46 shows a notable pattern
On Tuesday night, November 11, 2025, the Mega Millions draw in Wisconsin marked a notable return: 10 13 40 42 46 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, November 11, 2025, the Mega Millions draw in Wisconsin marked a notable return: 10 13 40 42 46 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 10 13 40 42 46 cover a wide range (10 to 46) with no repeats.
Why Droughts Matter
Extended absences are context markers, not prescriptive - they document what has already happened. They make variance visible across extended windows.
Data Notes
To clarify: this report documents results recorded for Tuesday night, November 11, 2025 and anchors them against historical cadence. The goal is context, not prediction.
From Stepzero
At its core: this series is designed to sustain continuity in the archive as a reliable record for analysts. The aim is a trustworthy record.
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.
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
Over the long run, today's outcome adds one more entry to the archive. The record gains clarity as entries accumulate.