Mega Millions Results
On Tuesday night, April 1, 2025 in Maryland, 11 12 21 29 49 reappeared following a -day absence in the Maryland record. By the expected cadence of 1 in 12,103,014 draws, the interval is a long-gap event.
Winning numbers for 1 draw on April 1, 2025 in Maryland.
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 in Maryland, 11 12 21 29 49 reappeared following a -day absence in the Maryland record. By the expected cadence of 1 in 12,103,014 draws, the interval is a long-gap event.
Overview
On Tuesday night, April 1, 2025 in Maryland, 11 12 21 29 49 reappeared following a -day absence in the Maryland record. By the expected cadence of 1 in 12,103,014 draws, the interval is a long-gap event.
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
This analysis uses the draw results recorded for Tuesday night, April 1, 2025 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
The takeaway: this reporting is built to document distribution behavior over time as a record, not a recommendation. The focus is long-horizon context.
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 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
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.