Badger 5 Results
In the Badger 5 draw on Thursday night, May 28, 2026, 06 10 17 19 20 landed again following a -day absence in Wisconsin. The gap is large relative to 1 in 169,911 draws, placing it deep in the tail.
Winning numbers for 1 draw on May 28, 2026 in Wisconsin.
Draw times: Evening.
Our take on the Badger 5 results
May 28, 2026Badger 5 report — Thursday night, May 28, 2026: 06 10 17 19 20 shows a notable pattern
In the Badger 5 draw on Thursday night, May 28, 2026, 06 10 17 19 20 landed again following a -day absence in Wisconsin. The gap is large relative to 1 in 169,911 draws, placing it deep in the tail.
Overview
In the Badger 5 draw on Thursday night, May 28, 2026, 06 10 17 19 20 landed again following a -day absence in Wisconsin. The gap is large relative to 1 in 169,911 draws, placing it deep in the tail.
Combo Profile
The numbers in 06 10 17 19 20 cover a wide range (6 to 20) with no repeats.
Why Droughts Matter
Deep gaps are best treated as context, not a forecast - they mark how variance accumulates over long samples. They make variance visible across extended windows.
Data Notes
This report summarizes observed outcomes for Thursday night, May 28, 2026 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
The core idea: this reporting is designed to keep the record consistent over time as a calm, evidence-first reference. The focus is long-horizon context.
Additional Context
Context improves with scale. As more draws accumulate, isolated anomalies either normalize into baseline rates or reveal persistent deviations that warrant closer monitoring.
Context improves with scale. As more draws accumulate, isolated anomalies either normalize into baseline rates or reveal persistent deviations that warrant closer monitoring.
Context improves with scale. As more draws accumulate, isolated anomalies either normalize into baseline rates or reveal persistent deviations that warrant closer monitoring.
Adding to the Long-Term Record
The return of 06 10 17 19 20 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.