Mega Millions Results
On Tuesday night, November 25, 2025, the Mega Millions draw in Maryland 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 Maryland.
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 Maryland 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 Maryland 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
Extended gaps are best read as context, not a cue - they document what has already happened. They help analysts track drift against expected cadence.
Data Notes
The approach: this report documents results recorded for Tuesday night, November 25, 2025 with comparison to long-run frequency baselines. This is descriptive, not predictive.
From Stepzero
At Stepzero, the priority is accuracy and context. This report is intended as a historical record entry, not a forecast.
Additional Context
Context improves with scale. As more draws accumulate, isolated anomalies either normalize into baseline rates or reveal persistent deviations that warrant closer monitoring.
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
From a long-horizon view, this appearance adds a fresh entry to the record to the record. The long-run picture sharpens as entries accrue.