Mega Millions Results
On Tuesday night, April 1, 2025, the Mega Millions draw in Wisconsin 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 Wisconsin.
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 Wisconsin 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 Wisconsin 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
The numbers in 11 12 21 29 49 cover a wide range (11 to 49) with no repeats.
Why Droughts Matter
Large gaps are best read as context, not predictive - they document what has already happened. They help analysts track drift against expected cadence.
Data Notes
Worth noting: this analysis records outcomes logged on Tuesday night, April 1, 2025 with benchmarking against long-run cadence. The focus is documentation over prediction.
From Stepzero
Importantly: this series is meant to keep the long-horizon record steady as context for disciplined analysis. The aim is a trustworthy record.
Additional Context
Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to expected ranges.
Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges.
Stability comes from the accumulation of entries. One draw alone does not define the pattern, but the record grows more reliable with each addition to the dataset.
Adding to the Long-Term Record
With its return, 11 12 21 29 49 contributes another meaningful data point to the historical dataset. Each draw - whether routine or statistically unusual - refines the long-term view of how large random systems behave over time.