Powerball Results
On Monday night, April 1, 2024, the Powerball draw in Delaware brought 19 24 40 42 56 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, 2024 in Delaware.
Draw times: Evening.
Our take on the Powerball results
April 1, 2024Powerball report — Monday night, April 1, 2024: 19 24 40 42 56 shows a notable pattern
On Monday night, April 1, 2024, the Powerball draw in Delaware brought 19 24 40 42 56 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 Monday night, April 1, 2024, the Powerball draw in Delaware brought 19 24 40 42 56 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
As a number pattern, 19 24 40 42 56 uses 5 distinct numbers and a wide spread from 19 to 56.
Why Droughts Matter
Long gaps are best treated as context, not directional - they mark how variance accumulates over long samples. Their value is in long-horizon tracking.
Data Notes
The approach: this report summarizes outcomes logged on Monday night, April 1, 2024 with comparison to long-run frequency baselines. It is context-focused, not predictive.
From Stepzero
In summary: this series is meant to document distribution behavior over time as a reliable record for analysts. The aim is a trustworthy record.
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.
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
The return of 19 24 40 42 56 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.