Powerball Results
On Wednesday night, May 13, 2026, the Powerball draw in Pennsylvania produced a notable return: 22 31 52 56 67 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 May 13, 2026 in Pennsylvania.
Draw times: Evening.
Our take on the Powerball results
May 13, 2026Powerball report — Wednesday night, May 13, 2026: 22 31 52 56 67 shows a notable pattern
On Wednesday night, May 13, 2026, the Powerball draw in Pennsylvania produced a notable return: 22 31 52 56 67 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 Wednesday night, May 13, 2026, the Powerball draw in Pennsylvania produced a notable return: 22 31 52 56 67 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
From a number-profile view, the outcome settles on 5 distinct numbers with no repeats in the pattern. The numbers span 22 to 67, a wide spread.
Why Droughts Matter
Extended absences like this provide context, not direction. They show how randomness behaves across large samples and help analysts quantify how often the system deviates from its baseline cadence.
Data Notes
Specifically: this report documents outcomes documented for Wednesday night, May 13, 2026 with benchmarking against long-run 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
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. Long-horizon tracking is the only reliable way to separate short-term noise from persistent drift. By logging each outcome against its expected cadence, the system builds a distribution profile that becomes more stable as the sample grows.
Adding to the Long-Term Record
With its return, 22 31 52 56 67 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.