Tri-State Gimme 5 Results
On Thursday night, January 1, 2026, in the Vermont Tri-State Gimme 5 draw, 09 13 17 24 28 came back following a -day absence in the Vermont draw record. With an expected cadence of 1 in 575,757 draws, the gap sits well beyond typical spacing.
Winning numbers for 1 draw on January 1, 2026 in Vermont.
Draw times: Evening.
Our take on the Tri-State Gimme 5 results
January 1, 2026Tri-State Gimme 5 report — Thursday night, January 1, 2026: 09 13 17 24 28 shows a notable pattern
On Thursday night, January 1, 2026, in the Vermont Tri-State Gimme 5 draw, 09 13 17 24 28 came back following a -day absence in the Vermont draw record. With an expected cadence of 1 in 575,757 draws, the gap sits well beyond typical spacing.
Overview
On Thursday night, January 1, 2026, in the Vermont Tri-State Gimme 5 draw, 09 13 17 24 28 came back following a -day absence in the Vermont draw record. With an expected cadence of 1 in 575,757 draws, the gap sits well beyond typical spacing.
Combo Profile
In terms of number structure, this result shows 5 distinct numbers with no repeats. The numbers span 9 to 28, a wide spread.
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 analysis uses the draw results recorded for Thursday night, January 1, 2026 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
To be clear: these reports are intended to preserve a stable long-horizon record as a reference point for continuity. It is meant to inform, not forecast.
Additional Context
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.
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.
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
Over the broader record, this result adds another archive entry to the cumulative record. It is the cumulative record that makes analysis stable.