Mega Millions Results
On Tuesday night, November 11, 2025, the Mega Millions draw in Delaware 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 Delaware.
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 Delaware 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 Delaware 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
Beyond the drought, the numbers show a clean structure: 5 distinct numbers with no repeats, spanning 10 to 46 (wide spread).
Why Droughts Matter
Extended gaps are descriptive, not forward-looking - they mark how variance accumulates over long samples. They make variance visible across extended windows.
Data Notes
Results are evaluated against historical frequency baselines where available. The goal is documentation and context rather than prediction.
From Stepzero
In summary: these reports are intended to keep the long-horizon record steady as context for disciplined analysis. It is meant to inform, not forecast.
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. Long-horizon tracking is the only reliable way to separate short-term noise from persistent drift. By logging each outcome against its expected cadence, the system builds a distribution profile that becomes more stable as the sample grows.
Adding to the Long-Term Record
With its return, 10 13 40 42 46 contributes another meaningful data point to the historical dataset. Each draw - whether routine or statistically unusual - refines the long-term view of how large random systems behave over time.