Mega Millions Results
On Friday night, May 1, 2026, the Mega Millions draw in Delaware produced a notable return: 16 21 27 41 61 after days of absence. Against an expected cadence of 1 in 12,103,014 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Winning numbers for 1 draw on May 1, 2026 in Delaware.
Draw times: Evening.
Our take on the Mega Millions results
May 1, 2026Mega Millions report — Friday night, May 1, 2026: 16 21 27 41 61 shows a notable pattern
On Friday night, May 1, 2026, the Mega Millions draw in Delaware produced a notable return: 16 21 27 41 61 after days of absence. Against an expected cadence of 1 in 12,103,014 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Overview
On Friday night, May 1, 2026, the Mega Millions draw in Delaware produced a notable return: 16 21 27 41 61 after days of absence. Against an expected cadence of 1 in 12,103,014 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Combo Profile
From a number profile angle, the pattern lands on 5 distinct numbers with no repeats in the pattern. Its range is 16 to 61 with a wide spread.
Why Droughts Matter
Extended absences are context, not forward-looking - they record variance across time. They clarify how far outcomes drift from baseline cadence.
Data Notes
Specifically: this analysis documents the recorded draws for Friday night, May 1, 2026 and compares them to historical cadence. The focus is documentation over prediction.
From Stepzero
Stepzero produces these reports to provide a calm, evidence-first record of how draw patterns unfold over time. The aim is clarity and continuity - a reference point for long-horizon tracking rather than a call to action.
Additional Context
Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their 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
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.