Tri-State Gimme 5 Results
On Tuesday night, February 24, 2026, the Tri-State Gimme 5 draw in Vermont brought 02 08 11 22 30 back after days away. Given an expected cadence of 1 in 575,757 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Winning numbers for 1 draw on February 24, 2026 in Vermont.
Draw times: Evening.
Our take on the Tri-State Gimme 5 results
February 24, 2026Tri-State Gimme 5 report — Tuesday night, February 24, 2026: 02 08 11 22 30 shows a notable pattern
On Tuesday night, February 24, 2026, the Tri-State Gimme 5 draw in Vermont brought 02 08 11 22 30 back after days away. Given an expected cadence of 1 in 575,757 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Overview
On Tuesday night, February 24, 2026, the Tri-State Gimme 5 draw in Vermont brought 02 08 11 22 30 back after days away. Given an expected cadence of 1 in 575,757 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Combo Profile
Beyond the drought, the numbers show a clean structure: 5 distinct numbers with no repeats, spanning 2 to 30 (wide spread).
Why Droughts Matter
Long gaps are descriptive, not a signal - they show where spacing departs from typical cadence. Their value is in long-horizon tracking.
Data Notes
This analysis uses the draw results recorded for Tuesday night, February 24, 2026 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
At its core: this series is designed to maintain continuity across the record as a stable reference point. The priority is accuracy and continuity.
Additional Context
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.
Context improves with scale. As more draws accumulate, isolated anomalies either normalize into baseline rates or reveal persistent deviations that warrant closer monitoring.
Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to expected ranges.
Adding to the Long-Term Record
Across the long-horizon record, this draw adds one more entry by one more data point. Stability comes from the growing record, not any one draw.