Tri-State Gimme 5 Results
On Monday night, April 6, 2026, the Tri-State Gimme 5 draw in Vermont brought 05 13 19 20 32 back after days away. Given an expected cadence of 1 in 575,757 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 6, 2026 in Vermont.
Draw times: Evening.
Our take on the Tri-State Gimme 5 results
April 6, 2026Tri-State Gimme 5 report — Monday night, April 6, 2026: 05 13 19 20 32 shows a notable pattern
On Monday night, April 6, 2026, the Tri-State Gimme 5 draw in Vermont brought 05 13 19 20 32 back after days away. Given an expected cadence of 1 in 575,757 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 6, 2026, the Tri-State Gimme 5 draw in Vermont brought 05 13 19 20 32 back after days away. Given an expected cadence of 1 in 575,757 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Combo Profile
The numbers in 05 13 19 20 32 cover a wide range (5 to 32) with no repeats.
Why Droughts Matter
Long gaps are descriptive, not directional - they document what has already happened. They make variance visible across extended windows.
Data Notes
This report summarizes observed outcomes for Monday night, April 6, 2026 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
The core idea: this series is designed to document distribution behavior over time as context for disciplined analysis. The aim is context, not a call to action.
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.
Context improves with scale. As more draws accumulate, isolated anomalies either normalize into baseline rates or reveal persistent deviations that warrant closer monitoring.
Record-keeping at scale becomes the foundation for analysis. Each outcome, whether typical or unusual, contributes to the stability and clarity of the long-run picture.
Adding to the Long-Term Record
The return of 05 13 19 20 32 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.