Tri-State Gimme 5 Results
On Thursday night, May 14, 2026, the Tri-State Gimme 5 draw in Vermont produced a notable return: 02 05 08 26 37 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 14, 2026 in Vermont.
Draw times: Evening.
Our take on the Tri-State Gimme 5 results
May 14, 2026Tri-State Gimme 5 report — Thursday night, May 14, 2026: 02 05 08 26 37 shows a notable pattern
On Thursday night, May 14, 2026, the Tri-State Gimme 5 draw in Vermont produced a notable return: 02 05 08 26 37 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 Thursday night, May 14, 2026, the Tri-State Gimme 5 draw in Vermont produced a notable return: 02 05 08 26 37 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 02 05 08 26 37 cover a wide range (2 to 37) with no repeats.
Why Droughts Matter
Extended absences are best treated as context, not directional - they track where outcomes drift from baseline spacing. They make variance visible across extended windows.
Data Notes
This report summarizes observed outcomes for Thursday night, May 14, 2026 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
The takeaway: these reports are built to keep the record consistent over time for analysts and long-run tracking. The aim is a trustworthy record.
Additional Context
Context improves with scale. As more draws accumulate, isolated anomalies either normalize into baseline rates or reveal persistent deviations that warrant closer monitoring. 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 02 05 08 26 37 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.