Tri-State Gimme 5 Results
On Wednesday night, February 11, 2026, in the Vermont Tri-State Gimme 5 draw, 16 21 22 24 27 reappeared following a -day absence in the Vermont draw record. By the expected cadence of 1 in 575,757 draws, the interval is a long-gap event.
Winning numbers for 1 draw on February 11, 2026 in Vermont.
Draw times: Evening.
Our take on the Tri-State Gimme 5 results
February 11, 2026Tri-State Gimme 5 report — Wednesday night, February 11, 2026: 16 21 22 24 27 shows a notable pattern
On Wednesday night, February 11, 2026, in the Vermont Tri-State Gimme 5 draw, 16 21 22 24 27 reappeared following a -day absence in the Vermont draw record. By the expected cadence of 1 in 575,757 draws, the interval is a long-gap event.
Overview
On Wednesday night, February 11, 2026, in the Vermont Tri-State Gimme 5 draw, 16 21 22 24 27 reappeared following a -day absence in the Vermont draw record. By the expected cadence of 1 in 575,757 draws, the interval is a long-gap event.
Combo Profile
Beyond the drought, the numbers show a clean structure: 5 distinct numbers with no repeats, spanning 16 to 27 (wide spread).
Why Droughts Matter
Prolonged absences are best read as context, not prescriptive - they show where spacing departs from typical cadence. They make variance visible across extended windows.
Data Notes
This analysis uses the draw results recorded for Wednesday night, February 11, 2026 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
In summary: this reporting is built to document distribution behavior over time for analysts and long-run tracking. The aim is context, not a call to action.
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.
Adding to the Long-Term Record
With its return, 16 21 22 24 27 contributes another meaningful data point to the historical dataset. Each draw - whether routine or statistically unusual - refines the long-term view of how large random systems behave over time.