Powerball Results
On Monday night, May 25, 2026, the Powerball draw in Maryland produced a notable return: 17 32 48 60 64 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 25, 2026 in Maryland.
Draw times: Evening.
Our take on the Powerball results
May 25, 2026Powerball report — Monday night, May 25, 2026: 17 32 48 60 64 shows a notable pattern
On Monday night, May 25, 2026, the Powerball draw in Maryland produced a notable return: 17 32 48 60 64 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 Monday night, May 25, 2026, the Powerball draw in Maryland produced a notable return: 17 32 48 60 64 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, 17 32 48 60 64 uses 5 distinct numbers and a wide spread from 17 to 64.
Why Droughts Matter
Prolonged absences are context markers, not a signal - they mark how variance accumulates over long samples. They help analysts track drift against expected cadence.
Data Notes
The approach: this report captures results recorded for Monday night, May 25, 2026 and evaluates them against long-run frequency baselines. 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
Stability comes from the accumulation of entries. One draw alone does not define the pattern, but the record grows more reliable with each addition to the dataset.
Stability comes from the accumulation of entries. One draw alone does not define the pattern, but the record grows more reliable with each addition to the dataset.
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.
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.