Tri-State Gimme 5 Results
On Tuesday night, February 17, 2026, during the Tri-State Gimme 5 draw in Vermont, 11 12 23 28 30 returned after a -day drought for Vermont. With an expected cadence of 1 in 575,757 draws, the gap sits well beyond typical spacing.
Winning numbers for 1 draw on February 17, 2026 in Vermont.
Draw times: Evening.
Our take on the Tri-State Gimme 5 results
February 17, 2026Tri-State Gimme 5 report — Tuesday night, February 17, 2026: 11 12 23 28 30 shows a notable pattern
On Tuesday night, February 17, 2026, during the Tri-State Gimme 5 draw in Vermont, 11 12 23 28 30 returned after a -day drought for Vermont. With an expected cadence of 1 in 575,757 draws, the gap sits well beyond typical spacing.
Overview
On Tuesday night, February 17, 2026, during the Tri-State Gimme 5 draw in Vermont, 11 12 23 28 30 returned after a -day drought for Vermont. With an expected cadence of 1 in 575,757 draws, the gap sits well beyond typical spacing.
Combo Profile
As a number pattern, 11 12 23 28 30 uses 5 distinct numbers and a wide spread from 11 to 30.
Why Droughts Matter
Extended gaps are context markers, not predictive - they document what has already happened. They make variance visible across extended windows.
Data Notes
Worth noting: this analysis records observed outcomes for Tuesday night, February 17, 2026 with reference to historical frequency baselines. The focus is documentation over prediction.
From Stepzero
The core idea: these reports are intended to keep a calm, evidence-first record for analysts and long-run tracking. The priority is accuracy and continuity.
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.
Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges.
Adding to the Long-Term Record
Over the broader record, this appearance extends the historical ledger to the long-horizon record. Reliability is a function of the growing record.