Mega Millions Results
On Tuesday night, November 25, 2025, the Mega Millions draw in Illinois produced a notable return: 11 15 31 32 59 after days of absence. Against an expected cadence of 1 in 12,103,014 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Winning numbers for 1 draw on November 25, 2025 in Illinois.
Draw times: Evening.
Our take on the Mega Millions results
November 25, 2025Mega Millions report — Tuesday night, November 25, 2025: 11 15 31 32 59 shows a notable pattern
On Tuesday night, November 25, 2025, the Mega Millions draw in Illinois produced a notable return: 11 15 31 32 59 after days of absence. Against an expected cadence of 1 in 12,103,014 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Overview
On Tuesday night, November 25, 2025, the Mega Millions draw in Illinois produced a notable return: 11 15 31 32 59 after days of absence. Against an expected cadence of 1 in 12,103,014 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Combo Profile
Beyond the drought, the numbers show a clean structure: 5 distinct numbers with no repeats, spanning 11 to 59 (wide spread).
Why Droughts Matter
Extended gaps are context, not predictive - they track where outcomes drift from baseline spacing. They provide a clean read on long-run variance.
Data Notes
This analysis uses the draw results recorded for Tuesday night, November 25, 2025 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
At Stepzero, the priority is accuracy and context. This report is intended as a historical record entry, not a forecast.
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. 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
With its return, 11 15 31 32 59 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.