Cash 5 Results
On Tuesday night, April 21, 2026, the Cash 5 draw in Pennsylvania brought 04 11 15 35 38 back after days away. Given an expected cadence of 1 in 962,598 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 21, 2026 in Pennsylvania.
Draw times: Evening.
Our take on the Cash 5 results
April 21, 2026Cash 5 report — Tuesday night, April 21, 2026: 04 11 15 35 38 shows a notable pattern
On Tuesday night, April 21, 2026, the Cash 5 draw in Pennsylvania brought 04 11 15 35 38 back after days away. Given an expected cadence of 1 in 962,598 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Overview
On Tuesday night, April 21, 2026, the Cash 5 draw in Pennsylvania brought 04 11 15 35 38 back after days away. Given an expected cadence of 1 in 962,598 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Combo Profile
Beyond the drought, the numbers show a clean structure: 5 distinct numbers with no repeats, spanning 4 to 38 (wide spread).
Why Droughts Matter
Extended absences remain descriptive, not a cue - they show where spacing departs from typical cadence. They help quantify how often outcomes move into the tails.
Data Notes
This report summarizes observed outcomes for Tuesday night, April 21, 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
Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to 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
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.