Megabucks Results
On Monday night, May 11, 2026, the Megabucks draw in Massachusetts produced a notable return: 04 07 15 20 24 25 after days of absence. Against an expected cadence of 1 in 7,059,052 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Winning numbers for 1 draw on May 11, 2026 in Massachusetts.
Draw times: Evening.
Our take on the Megabucks results
May 11, 2026Megabucks report — Monday night, May 11, 2026: 04 07 15 20 24 25 shows a notable pattern
On Monday night, May 11, 2026, the Megabucks draw in Massachusetts produced a notable return: 04 07 15 20 24 25 after days of absence. Against an expected cadence of 1 in 7,059,052 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Overview
On Monday night, May 11, 2026, the Megabucks draw in Massachusetts produced a notable return: 04 07 15 20 24 25 after days of absence. Against an expected cadence of 1 in 7,059,052 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Combo Profile
As a number pattern, 04 07 15 20 24 25 uses 6 distinct numbers and a wide spread from 4 to 25.
Why Droughts Matter
Extended absences like this provide context, not direction. They show how randomness behaves across large samples and help analysts quantify how often the system deviates from its baseline cadence.
Data Notes
This analysis uses the draw results recorded for Monday night, May 11, 2026 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
To be clear: this reporting is built to document distribution behavior over time as a stable reference point. 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. 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.