Megabucks Results
On Wednesday night, May 11, 2022, the Megabucks draw in Massachusetts brought 10 11 22 29 33 41 back after days away. Given an expected cadence of 1 in 7,059,052 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Winning numbers for 1 draw on May 11, 2022 in Massachusetts.
Draw times: Evening.
Our take on the Megabucks results
May 11, 2022Megabucks report — Wednesday night, May 11, 2022: 10 11 22 29 33 41 shows a notable pattern
On Wednesday night, May 11, 2022, the Megabucks draw in Massachusetts brought 10 11 22 29 33 41 back after days away. Given an expected cadence of 1 in 7,059,052 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Overview
On Wednesday night, May 11, 2022, the Megabucks draw in Massachusetts brought 10 11 22 29 33 41 back after days away. Given an expected cadence of 1 in 7,059,052 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Combo Profile
As a number pattern, 10 11 22 29 33 41 uses 6 distinct numbers and a wide spread from 10 to 41.
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 Wednesday night, May 11, 2022 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
At Stepzero, the priority is accuracy and context. This report is intended as a historical record entry, not a forecast.
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. 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
Across the long-horizon record, this return contributes one more record entry to the record. The long-run picture sharpens as entries accrue.