Powerball Results
On Monday night, April 13, 2026, the Powerball draw in Vermont brought 38 43 59 63 64 back after days away. Given an expected cadence of 1 in 11,238,513 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 April 13, 2026 in Vermont.
Draw times: Evening.
Our take on the Powerball results
April 13, 2026Powerball report — Monday night, April 13, 2026: 38 43 59 63 64 shows a notable pattern
On Monday night, April 13, 2026, the Powerball draw in Vermont brought 38 43 59 63 64 back after days away. Given an expected cadence of 1 in 11,238,513 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Overview
On Monday night, April 13, 2026, the Powerball draw in Vermont brought 38 43 59 63 64 back after days away. Given an expected cadence of 1 in 11,238,513 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Combo Profile
From a number-profile view, this draw has 5 distinct numbers with no repeats noted. The numbers cover 38 to 64 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
In detail: this report summarizes observed outcomes for Monday night, April 13, 2026 with reference to historical frequency baselines. This is descriptive, not predictive.
From Stepzero
Stepzero focuses on documenting distribution behavior over large samples. Each report is a snapshot of observed outcomes, designed to support disciplined, long-term analysis.
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. 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 38 43 59 63 64 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.