Powerball Results
On Wednesday night, May 13, 2026, the Powerball draw in Rhode Island marked a notable return: 22 31 52 56 67 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 11,238,513 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Winning numbers for 1 draw on May 13, 2026 in Rhode Island.
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 Rhode Island marked a notable return: 22 31 52 56 67 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 11,238,513 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Overview
On Wednesday night, May 13, 2026, the Powerball draw in Rhode Island marked a notable return: 22 31 52 56 67 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 11,238,513 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Combo Profile
As a number pattern, 22 31 52 56 67 uses 5 distinct numbers and a wide spread from 22 to 67.
Why Droughts Matter
Prolonged absences are best read as context, not predictive - they show where spacing departs from typical cadence. They make variance visible across extended windows.
Data Notes
To clarify: this report records the draw results for Wednesday night, May 13, 2026 with benchmarking against long-run cadence. The focus is documentation over prediction.
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. 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
This result adds a measurable entry to the long-term record. Over time, those entries are what sharpen distribution analysis and reveal whether the system is tracking its expected cadence.