Powerball Results
On Wednesday night, April 1, 2026, the Powerball draw in Pennsylvania brought 04 10 11 52 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 1, 2026 in Pennsylvania.
Draw times: Evening.
Our take on the Powerball results
April 1, 2026Powerball report — Wednesday night, April 1, 2026: 04 10 11 52 64 shows a notable pattern
On Wednesday night, April 1, 2026, the Powerball draw in Pennsylvania brought 04 10 11 52 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 Wednesday night, April 1, 2026, the Powerball draw in Pennsylvania brought 04 10 11 52 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
Structurally, this sequence uses 5 distinct numbers and no repeats. The spread runs 4 to 64 (wide).
Why Droughts Matter
Extended absences are context markers, not a forecast - they highlight the tail behavior of the system. They help quantify how often outcomes move into the tails.
Data Notes
This report summarizes observed outcomes for Wednesday night, April 1, 2026 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
Stepzero produces these reports to provide a calm, evidence-first record of how draw patterns unfold over time. The aim is clarity and continuity - a reference point for long-horizon tracking rather than a call to action.
Additional Context
Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their 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 04 10 11 52 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.