Mega Millions Results
On Friday night, May 31, 2024, the Mega Millions draw in Maryland marked a notable return: 04 11 23 33 49 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 12,103,014 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Winning numbers for 1 draw on May 31, 2024 in Maryland.
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 Maryland marked a notable return: 04 11 23 33 49 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 12,103,014 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Overview
On Friday night, May 31, 2024, the Mega Millions draw in Maryland marked a notable return: 04 11 23 33 49 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 12,103,014 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
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
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 Friday night, May 31, 2024 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 series is meant to preserve a stable long-horizon record as a reference point for continuity. The goal is clarity and stability.
Additional Context
Long-horizon tracking is the only reliable way to separate short-term noise from persistent drift. By logging each outcome against its expected cadence, the system builds a distribution profile that becomes more stable as the sample grows.
Adding to the Long-Term Record
With its return, 04 11 23 33 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.