Jersey Cash 5 Results
On Monday night, April 20, 2026, the Jersey Cash 5 draw in New Jersey brought 03 24 32 44 45 back after days away. Given an expected cadence of 1 in 1,221,759 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 20, 2026 in New Jersey.
Draw times: Evening.
Our take on the Jersey Cash 5 results
April 20, 2026Jersey Cash 5 report — Monday night, April 20, 2026: 03 24 32 44 45 shows a notable pattern
On Monday night, April 20, 2026, the Jersey Cash 5 draw in New Jersey brought 03 24 32 44 45 back after days away. Given an expected cadence of 1 in 1,221,759 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Overview
On Monday night, April 20, 2026, the Jersey Cash 5 draw in New Jersey brought 03 24 32 44 45 back after days away. Given an expected cadence of 1 in 1,221,759 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Combo Profile
As a number pattern, 03 24 32 44 45 uses 5 distinct numbers and a wide spread from 3 to 45.
Why Droughts Matter
Extended gaps are descriptive, not a forecast - they mark how variance accumulates over long samples. They clarify how far outcomes drift from baseline cadence.
Data Notes
This analysis uses the draw results recorded for Monday night, April 20, 2026 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
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. Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to expected ranges.
Adding to the Long-Term Record
In the broader record, this draw contributes one more record entry to the cumulative record. The accumulation, not any single draw, builds reliability.