Tri-State Gimme 5 Results
On Thursday night, February 5, 2026, during the Tri-State Gimme 5 draw in Vermont, 08 33 35 36 39 came back after days without an appearance in Vermont results. With an expected cadence of 1 in 575,757 draws, the gap sits well beyond typical spacing.
Winning numbers for 1 draw on February 5, 2026 in Vermont.
Draw times: Evening.
Our take on the Tri-State Gimme 5 results
February 5, 2026Tri-State Gimme 5 report — Thursday night, February 5, 2026: 08 33 35 36 39 shows a notable pattern
On Thursday night, February 5, 2026, during the Tri-State Gimme 5 draw in Vermont, 08 33 35 36 39 came back after days without an appearance in Vermont results. With an expected cadence of 1 in 575,757 draws, the gap sits well beyond typical spacing.
Overview
On Thursday night, February 5, 2026, during the Tri-State Gimme 5 draw in Vermont, 08 33 35 36 39 came back after days without an appearance in Vermont results. With an expected cadence of 1 in 575,757 draws, the gap sits well beyond typical spacing.
Combo Profile
Beyond the drought, the numbers show a clean structure: 5 distinct numbers with no repeats, spanning 8 to 39 (wide spread).
Why Droughts Matter
Prolonged absences are best read as context, not a forecast - they track where outcomes drift from baseline spacing. They make variance visible across extended windows.
Data Notes
This analysis uses the draw results recorded for Thursday night, February 5, 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 built to keep the record consistent over time as a record, not a recommendation. The intent is clarity, not prediction.
Additional Context
Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges. 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 08 33 35 36 39 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.