Mega Millions Results
On Tuesday night, September 13, 2022, the Mega Millions draw in Wisconsin brought 14 25 38 59 64 back after days away. Given an expected cadence of 1 in 12,103,014 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 September 13, 2022 in Wisconsin.
Draw times: Evening.
Our take on the Mega Millions results
September 13, 2022Mega Millions report — Tuesday night, September 13, 2022: 14 25 38 59 64 shows a notable pattern
On Tuesday night, September 13, 2022, the Mega Millions draw in Wisconsin brought 14 25 38 59 64 back after days away. Given an expected cadence of 1 in 12,103,014 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Overview
On Tuesday night, September 13, 2022, the Mega Millions draw in Wisconsin brought 14 25 38 59 64 back after days away. Given an expected cadence of 1 in 12,103,014 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Combo Profile
Beyond the drought, the numbers show a clean structure: 5 distinct numbers with no repeats, spanning 14 to 64 (wide spread).
Why Droughts Matter
Deep gaps are context markers, not forward-looking - they document what has already happened. They offer context for distribution stability over time.
Data Notes
This report summarizes observed outcomes for Tuesday night, September 13, 2022 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
At Stepzero, the priority is accuracy and context. This report is intended as a historical record entry, not a forecast.
Additional Context
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.
Context improves with scale. As more draws accumulate, isolated anomalies either normalize into baseline rates or reveal persistent deviations that warrant closer monitoring.
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, 14 25 38 59 64 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.