Mega Millions Results
On Tuesday night, November 25, 2025, the Mega Millions draw in Rhode Island 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 Rhode Island.
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 Rhode Island 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 Rhode Island 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
From a number-profile view, this result lands on 5 distinct numbers and no repeats. Its range is 11 to 59 with a wide spread.
Why Droughts Matter
Extended gaps are best read as context, not forward-looking - they highlight the tail behavior of the system. They provide a clean read on long-run variance.
Data Notes
This report summarizes observed outcomes for Tuesday night, November 25, 2025 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
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 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
The return of 11 15 31 32 59 expands the archive by one more data point. It is the accumulation of these entries, not a single draw, that defines the reliability of long-horizon analysis.