Tri-State Gimme 5 Results
On Monday night, January 19, 2026, in the Vermont Tri-State Gimme 5 draw, 05 10 29 34 38 reappeared after a -day drought 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 19, 2026 in Vermont.
Draw times: Evening.
Our take on the Tri-State Gimme 5 results
January 19, 2026Tri-State Gimme 5 report — Monday night, January 19, 2026: 05 10 29 34 38 shows a notable pattern
On Monday night, January 19, 2026, in the Vermont Tri-State Gimme 5 draw, 05 10 29 34 38 reappeared after a -day drought in the Vermont draw record. With an expected cadence of 1 in 575,757 draws, the gap sits well beyond typical spacing.
Overview
On Monday night, January 19, 2026, in the Vermont Tri-State Gimme 5 draw, 05 10 29 34 38 reappeared after a -day drought in the Vermont draw record. With an expected cadence of 1 in 575,757 draws, the gap sits well beyond typical spacing.
Combo Profile
From a number profile angle, this result has 5 distinct numbers while showing no repeats. Its range is 5 to 38 with a wide spread.
Why Droughts Matter
Prolonged absences are descriptive, not prescriptive - they document what has already happened. Their value is in long-horizon tracking.
Data Notes
Worth noting: this analysis records observed outcomes for Monday night, January 19, 2026 with benchmarking against long-run cadence. The intent is documentation, not forecasting.
From Stepzero
Importantly: this series is designed to keep the long-horizon record steady as context for disciplined analysis. The aim is a trustworthy record.
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.
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.
Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges.
Adding to the Long-Term Record
In long-horizon tracking, this entry adds another data point to the long-horizon record. The record gains clarity as entries accumulate.