Mega Millions Results
On Tuesday night, November 25, 2025, the Mega Millions draw in Massachusetts brought 11 15 31 32 59 back after days away. Given an expected cadence of 1 in 12,103,014 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Winning numbers for 1 draw on November 25, 2025 in Massachusetts.
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 Massachusetts brought 11 15 31 32 59 back after days away. Given an expected cadence of 1 in 12,103,014 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Overview
On Tuesday night, November 25, 2025, the Mega Millions draw in Massachusetts brought 11 15 31 32 59 back after days away. Given an expected cadence of 1 in 12,103,014 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Combo Profile
The numbers in 11 15 31 32 59 cover a wide range (11 to 59) with no repeats.
Why Droughts Matter
Long droughts are best read as context, not a cue - they highlight the tail behavior of the system. 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
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.
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.
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
Across the long-horizon record, this return contributes one more record entry to the record. The long-run picture sharpens as entries accrue.