Tri-State Gimme 5 Results
On Thursday night, January 22, 2026, for Vermont's Tri-State Gimme 5 draw, 16 19 22 23 27 resurfaced after a -day drought in the Vermont record. Against an expected cadence of 1 in 575,757 draws, the gap stands out as a long-horizon outlier.
Winning numbers for 1 draw on January 22, 2026 in Vermont.
Draw times: Evening.
Our take on the Tri-State Gimme 5 results
January 22, 2026Tri-State Gimme 5 report — Thursday night, January 22, 2026: 16 19 22 23 27 shows a notable pattern
On Thursday night, January 22, 2026, for Vermont's Tri-State Gimme 5 draw, 16 19 22 23 27 resurfaced after a -day drought in the Vermont record. Against an expected cadence of 1 in 575,757 draws, the gap stands out as a long-horizon outlier.
Overview
On Thursday night, January 22, 2026, for Vermont's Tri-State Gimme 5 draw, 16 19 22 23 27 resurfaced after a -day drought in the Vermont record. Against an expected cadence of 1 in 575,757 draws, the gap stands out as a long-horizon outlier.
Combo Profile
As a number shape, the pattern settles on 5 distinct numbers with no repeats present. The numbers span 16 to 27, a wide spread.
Why Droughts Matter
Extended absences are context markers, not predictive - they mark how variance accumulates over long samples. They offer context for distribution stability over time.
Data Notes
This analysis uses the draw results recorded for Thursday night, January 22, 2026 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
Simply put: this series is designed to keep the record consistent over time as a calm, evidence-first reference. The priority is accuracy and continuity.
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. Stability comes from the accumulation of entries. One draw alone does not define the pattern, but the record grows more reliable with each addition to the dataset.
Adding to the Long-Term Record
The return of 16 19 22 23 27 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.