Tri-State Gimme 5 Results
On Tuesday night, May 5, 2026, the Tri-State Gimme 5 draw in Vermont produced a notable return: 09 16 19 33 39 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 May 5, 2026 in Vermont.
Draw times: Evening.
Our take on the Tri-State Gimme 5 results
May 5, 2026Tri-State Gimme 5 report — Tuesday night, May 5, 2026: 09 16 19 33 39 shows a notable pattern
On Tuesday night, May 5, 2026, the Tri-State Gimme 5 draw in Vermont produced a notable return: 09 16 19 33 39 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 Tuesday night, May 5, 2026, the Tri-State Gimme 5 draw in Vermont produced a notable return: 09 16 19 33 39 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
The numbers in 09 16 19 33 39 cover a wide range (9 to 39) with no repeats.
Why Droughts Matter
Large gaps are best treated as context, not a cue - they track where outcomes drift from baseline spacing. They provide a clean read on long-run variance.
Data Notes
This analysis uses the draw results recorded for Tuesday night, May 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
Simply put: these reports are built to keep the record consistent over time 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. 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 09 16 19 33 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.