Powerball Results
On Saturday night, March 28, 2026, the Powerball draw in Wisconsin produced a notable return: 11 42 43 59 61 after days of absence. Against an expected cadence of 1 in 11,238,513 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Winning numbers for 1 draw on March 28, 2026 in Wisconsin.
Draw times: Evening.
Our take on the Powerball results
March 28, 2026Powerball report — Saturday night, March 28, 2026: 11 42 43 59 61 shows a notable pattern
On Saturday night, March 28, 2026, the Powerball draw in Wisconsin produced a notable return: 11 42 43 59 61 after days of absence. Against an expected cadence of 1 in 11,238,513 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Overview
On Saturday night, March 28, 2026, the Powerball draw in Wisconsin produced a notable return: 11 42 43 59 61 after days of absence. Against an expected cadence of 1 in 11,238,513 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Combo Profile
The numbers in 11 42 43 59 61 cover a wide range (11 to 61) with no repeats.
Why Droughts Matter
Deep gaps are context, not prescriptive - they show how distribution tails behave. They provide a clean read on long-run variance.
Data Notes
This report summarizes observed outcomes for Saturday night, March 28, 2026 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
Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to 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.
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
The return of 11 42 43 59 61 expands the archive by one more data point. It is the accumulation of these entries, not a single draw, that defines the reliability of long-horizon analysis.