Mega Millions Results
On Tuesday night, November 11, 2025, for Texas's Mega Millions draw, 10 13 40 42 46 came back following a -day absence in Texas. Given an expected cadence of 1 in 12,103,014 draws, the interval lands deep in the long-gap tail.
Winning numbers for 1 draw on November 11, 2025 in Texas.
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, for Texas's Mega Millions draw, 10 13 40 42 46 came back following a -day absence in Texas. Given an expected cadence of 1 in 12,103,014 draws, the interval lands deep in the long-gap tail.
Overview
On Tuesday night, November 11, 2025, for Texas's Mega Millions draw, 10 13 40 42 46 came back following a -day absence in Texas. Given an expected cadence of 1 in 12,103,014 draws, the interval lands deep in the long-gap tail.
Combo Profile
As a number pattern, 10 13 40 42 46 uses 5 distinct numbers and a wide spread from 10 to 46.
Why Droughts Matter
Prolonged absences are best treated as context, not directional - they show how distribution tails behave. They help quantify how often outcomes move into the tails.
Data Notes
This analysis uses the draw results recorded for Tuesday night, November 11, 2025 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 shaped to document distribution behavior over time as context for disciplined analysis. The aim is context, not a call to action.
Additional Context
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. 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
This result adds a measurable entry to the long-term record. Over time, those entries are what sharpen distribution analysis and reveal whether the system is tracking its expected cadence.