Badger 5 Results
On Monday night, April 20, 2026, the Badger 5 draw in Wisconsin brought 05 09 19 23 24 back after days away. Given an expected cadence of 1 in 169,911 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 Wisconsin.
Draw times: Evening.
Our take on the Badger 5 results
April 20, 2026Badger 5 report — Monday night, April 20, 2026: 05 09 19 23 24 shows a notable pattern
On Monday night, April 20, 2026, the Badger 5 draw in Wisconsin brought 05 09 19 23 24 back after days away. Given an expected cadence of 1 in 169,911 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 Badger 5 draw in Wisconsin brought 05 09 19 23 24 back after days away. Given an expected cadence of 1 in 169,911 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, 05 09 19 23 24 uses 5 distinct numbers and a wide spread from 5 to 24.
Why Droughts Matter
A long drought is descriptive rather than predictive. It records variance across time and helps analysts evaluate whether outcomes are tracking within expected frequency bands or drifting into the tails of the distribution.
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 tracking is the only reliable way to separate short-term noise from persistent drift. By logging each outcome against its expected cadence, the system builds a distribution profile that becomes more stable as the sample grows.
Adding to the Long-Term Record
Across the long-horizon record, 05 09 19 23 24 adds a fresh entry to the record to the cumulative record. Reliability is a function of the growing record.