Cash 5 Results
On Thursday night, April 9, 2026, the Cash 5 draw in Pennsylvania marked a notable return: 01 11 17 22 42 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 962,598 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Winning numbers for 1 draw on April 9, 2026 in Pennsylvania.
Draw times: Evening.
Our take on the Cash 5 results
April 9, 2026Cash 5 report — Thursday night, April 9, 2026: 01 11 17 22 42 shows a notable pattern
On Thursday night, April 9, 2026, the Cash 5 draw in Pennsylvania marked a notable return: 01 11 17 22 42 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 962,598 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Overview
On Thursday night, April 9, 2026, the Cash 5 draw in Pennsylvania marked a notable return: 01 11 17 22 42 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 962,598 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Combo Profile
The numbers in 01 11 17 22 42 cover a wide range (1 to 42) with no repeats.
Why Droughts Matter
Droughts do not indicate what will happen next - they simply document what has already occurred. Their value lies in measuring distribution over long horizons and identifying when a combination performs far above or below its expected appearance rate.
Data Notes
Results are evaluated against historical frequency baselines where available. The goal is documentation and context rather than prediction.
From Stepzero
At Stepzero, the priority is accuracy and context. This report is intended as a historical record entry, not a forecast.
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.
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.
Adding to the Long-Term Record
Across the long-term record, today's outcome adds a new point to the dataset to the historical dataset. It is the cumulative record that makes analysis stable.