Megabucks Results
On Wednesday night, June 1, 2022, the Megabucks draw in Massachusetts produced a notable return: 04 11 22 27 30 47 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 June 1, 2022 in Massachusetts.
Draw times: Evening.
Our take on the Megabucks results
June 1, 2022Megabucks report — Wednesday night, June 1, 2022: 04 11 22 27 30 47 shows a notable pattern
On Wednesday night, June 1, 2022, the Megabucks draw in Massachusetts produced a notable return: 04 11 22 27 30 47 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 Wednesday night, June 1, 2022, the Megabucks draw in Massachusetts produced a notable return: 04 11 22 27 30 47 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
From a number profile angle, this draw contains 6 distinct numbers and no repeats. The numbers cover 4 to 47 with a wide range.
Why Droughts Matter
A long drought is descriptive rather than predictive. It records variance across time and helps analysts evaluate whether outcomes are tracking within expected frequency bands or drifting into the tails of the distribution.
Data Notes
This report summarizes observed outcomes for Wednesday night, June 1, 2022 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
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
Stability comes from the accumulation of entries. One draw alone does not define the pattern, but the record grows more reliable with each addition to the dataset. Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges.
Adding to the Long-Term Record
In long-horizon tracking, this appearance adds another data point to the cumulative record. Stability comes from the growing record, not any one draw.