Tri-State Gimme 5 Results
On Friday night, January 30, 2026, the Tri-State Gimme 5 draw in Vermont produced a notable return: 13 25 26 31 32 after days of absence. Against an expected cadence of 1 in 575,757 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Winning numbers for 1 draw on January 30, 2026 in Vermont.
Draw times: Evening.
Our take on the Tri-State Gimme 5 results
January 30, 2026Tri-State Gimme 5 report — Friday night, January 30, 2026: 13 25 26 31 32 shows a notable pattern
On Friday night, January 30, 2026, the Tri-State Gimme 5 draw in Vermont produced a notable return: 13 25 26 31 32 after days of absence. Against an expected cadence of 1 in 575,757 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Overview
On Friday night, January 30, 2026, the Tri-State Gimme 5 draw in Vermont produced a notable return: 13 25 26 31 32 after days of absence. Against an expected cadence of 1 in 575,757 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Combo Profile
As a number shape, this sequence shows 5 distinct numbers with no repeats present. The numbers span 13 to 32, a wide spread.
Why Droughts Matter
Extended gaps are best read as context, not a forecast - they show how distribution tails behave. They help quantify how often outcomes move into the tails.
Data Notes
The method: this analysis documents observed outcomes for Friday night, January 30, 2026 with benchmarking against long-run cadence. The goal is context, not prediction.
From Stepzero
Stepzero produces these reports to provide a calm, evidence-first record of how draw patterns unfold over time. The aim is clarity and continuity - a reference point for long-horizon tracking rather than a call to action.
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. 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 13 25 26 31 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.