Megabucks Results
On Wednesday night, April 1, 2026, the Megabucks draw in Wisconsin marked a notable return: 01 13 15 24 37 49 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 13,983,816 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Winning numbers for 1 draw on April 1, 2026 in Wisconsin.
Draw times: Evening.
Our take on the Megabucks results
April 1, 2026Megabucks report — Wednesday night, April 1, 2026: 01 13 15 24 37 49 shows a notable pattern
On Wednesday night, April 1, 2026, the Megabucks draw in Wisconsin marked a notable return: 01 13 15 24 37 49 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 13,983,816 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Overview
On Wednesday night, April 1, 2026, the Megabucks draw in Wisconsin marked a notable return: 01 13 15 24 37 49 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 13,983,816 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Combo Profile
The numbers in 01 13 15 24 37 49 cover a wide range (1 to 49) with no repeats.
Why Droughts Matter
Long gaps are best read as context, not predictive - they show how distribution tails behave. They help analysts track drift against expected cadence.
Data Notes
Results are evaluated against historical frequency baselines where available. The goal is documentation and context rather than prediction.
From Stepzero
The takeaway: this reporting is designed to keep the long-horizon record steady as a reliable record for analysts. The goal is clarity and stability.
Additional Context
Record-keeping at scale becomes the foundation for analysis. Each outcome, whether typical or unusual, contributes to the stability and clarity of the long-run picture.
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.
Record-keeping at scale becomes the foundation for analysis. Each outcome, whether typical or unusual, contributes to the stability and clarity of the long-run picture.
Adding to the Long-Term Record
This result adds a measurable entry to the long-term record. Over time, those entries are what sharpen distribution analysis and reveal whether the system is tracking its expected cadence.