Mega Millions Results
On Tuesday night, February 25, 2025, the Mega Millions draw in Delaware marked a notable return: 04 08 11 32 52 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 February 25, 2025 in Delaware.
Draw times: Evening.
Our take on the Mega Millions results
February 25, 2025Mega Millions report — Tuesday night, February 25, 2025: 04 08 11 32 52 shows a notable pattern
On Tuesday night, February 25, 2025, the Mega Millions draw in Delaware marked a notable return: 04 08 11 32 52 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 Tuesday night, February 25, 2025, the Mega Millions draw in Delaware marked a notable return: 04 08 11 32 52 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
The numbers in 04 08 11 32 52 cover a wide range (4 to 52) with no repeats.
Why Droughts Matter
Deep gaps are context, not forward-looking - they show how distribution tails behave. They help analysts track drift against expected cadence.
Data Notes
This analysis uses the draw results recorded for Tuesday night, February 25, 2025 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
Importantly: these reports are built to document distribution behavior over time as a reference point for continuity. The priority is accuracy and continuity.
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. Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to expected ranges.
Adding to the Long-Term Record
With its return, 04 08 11 32 52 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.