Powerball Results
On Saturday night, March 28, 2026, the Powerball draw in Connecticut 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 Connecticut.
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 Connecticut 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 Connecticut 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
As a number pattern, 11 42 43 59 61 uses 5 distinct numbers and a wide spread from 11 to 61.
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
The approach: this analysis summarizes results recorded for Saturday night, March 28, 2026 and compares them to historical cadence. It is intended for context, not forecasting.
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. 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
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.