Mega Millions Results
On Tuesday night, April 1, 2025, the Mega Millions draw in Rhode Island brought 11 12 21 29 49 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 April 1, 2025 in Rhode Island.
Draw times: Evening.
Our take on the Mega Millions results
April 1, 2025Mega Millions report — Tuesday night, April 1, 2025: 11 12 21 29 49 shows a notable pattern
On Tuesday night, April 1, 2025, the Mega Millions draw in Rhode Island brought 11 12 21 29 49 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, April 1, 2025, the Mega Millions draw in Rhode Island brought 11 12 21 29 49 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
As a number pattern, 11 12 21 29 49 uses 5 distinct numbers and a wide spread from 11 to 49.
Why Droughts Matter
Droughts do not indicate what will happen next - they simply document what has already occurred. Their value lies in measuring distribution over long horizons and identifying when a combination performs far above or below its expected appearance rate.
Data Notes
The method: this analysis records observed outcomes for Tuesday night, April 1, 2025 with comparison to long-run frequency baselines. It is intended for context, not forecasting.
From Stepzero
To be clear: this series is meant to maintain continuity across the record as a stable reference point. The goal is clarity and stability.
Additional Context
Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges. 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
The return of 11 12 21 29 49 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.