Mega Millions Results
On Tuesday night, November 11, 2025, the Mega Millions draw in Connecticut 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 Connecticut.
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 Connecticut 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 Connecticut 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
Long gaps function as context, not predictive - they show how distribution tails behave. Their value is in long-horizon tracking.
Data Notes
In detail: this report documents observed outcomes for Tuesday night, November 11, 2025 and anchors them against historical cadence. It is context-focused, not predictive.
From Stepzero
Stepzero focuses on documenting distribution behavior over large samples. Each report is a snapshot of observed outcomes, designed to support disciplined, long-term analysis.
Additional Context
Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to expected ranges.
Stability comes from the accumulation of entries. One draw alone does not define the pattern, but the record grows more reliable with each addition to the dataset.
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
From a long-horizon view, this draw adds a fresh entry to the record to the archive. The long-run picture sharpens as entries accrue.