Mega Millions Results
On Friday night, May 31, 2024, the Mega Millions draw in Wisconsin brought 04 11 23 33 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 May 31, 2024 in Wisconsin.
Draw times: Evening.
Our take on the Mega Millions results
May 31, 2024Mega Millions report — Friday night, May 31, 2024: 04 11 23 33 49 shows a notable pattern
On Friday night, May 31, 2024, the Mega Millions draw in Wisconsin brought 04 11 23 33 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 Friday night, May 31, 2024, the Mega Millions draw in Wisconsin brought 04 11 23 33 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, 04 11 23 33 49 uses 5 distinct numbers and a wide spread from 4 to 49.
Why Droughts Matter
Deep gaps are context, not prescriptive - they show where spacing departs from typical cadence. They help analysts track drift against expected cadence.
Data Notes
This report summarizes observed outcomes for Friday night, May 31, 2024 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
The takeaway: this reporting is built to maintain continuity across the record as a stable reference point. The aim is a trustworthy record.
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.
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
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.