Mega Millions Results
On Tuesday night, April 1, 2025, the Mega Millions draw in Massachusetts 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 Massachusetts.
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 Massachusetts 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 Massachusetts 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
Structurally, 11 12 21 29 49 uses 5 distinct numbers with no repeats present. The spread runs 11 to 49 (wide).
Why Droughts Matter
Prolonged absences are best read as context, not a signal - they show where spacing departs from typical cadence. They help quantify how often outcomes move into the tails.
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
In summary: this reporting is designed to keep a calm, evidence-first record as a reference point for continuity. The aim is context, not a call to action.
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. Context improves with scale. As more draws accumulate, isolated anomalies either normalize into baseline rates or reveal persistent deviations that warrant closer monitoring.
Adding to the Long-Term Record
Over the broader record, this draw extends the historical ledger to the archive. Stability comes from the growing record, not any one draw.