Tri-State Gimme 5 Results
On Wednesday night, March 25, 2026, the Tri-State Gimme 5 draw in Vermont produced a notable return: 03 11 17 30 35 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 March 25, 2026 in Vermont.
Draw times: Evening.
Our take on the Tri-State Gimme 5 results
March 25, 2026Tri-State Gimme 5 report — Wednesday night, March 25, 2026: 03 11 17 30 35 shows a notable pattern
On Wednesday night, March 25, 2026, the Tri-State Gimme 5 draw in Vermont produced a notable return: 03 11 17 30 35 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 Wednesday night, March 25, 2026, the Tri-State Gimme 5 draw in Vermont produced a notable return: 03 11 17 30 35 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
Beyond the drought, the numbers show a clean structure: 5 distinct numbers with no repeats, spanning 3 to 35 (wide spread).
Why Droughts Matter
Long gaps are context markers, not prescriptive - they document what has already happened. They help quantify how often outcomes move into the tails.
Data Notes
In detail: this report captures outcomes logged on Wednesday night, March 25, 2026 and anchors them against historical cadence. It is intended for context, not forecasting.
From Stepzero
Simply put: these reports are built to preserve a stable long-horizon record as a reference point for continuity. 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.
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
Across the long-term record, today's outcome adds one more entry by one more data point. Stability comes from the growing record, not any one draw.