Tri-State Gimme 5 Results
On Monday night, June 1, 2026, the Tri-State Gimme 5 draw in Vermont marked a notable return: 08 14 19 21 34 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 575,757 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Winning numbers for 1 draw on June 1, 2026 in Vermont.
Draw times: Evening.
Our take on the Tri-State Gimme 5 results
June 1, 2026Tri-State Gimme 5 report — Monday night, June 1, 2026: 08 14 19 21 34 shows a notable pattern
On Monday night, June 1, 2026, the Tri-State Gimme 5 draw in Vermont marked a notable return: 08 14 19 21 34 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 575,757 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Overview
On Monday night, June 1, 2026, the Tri-State Gimme 5 draw in Vermont marked a notable return: 08 14 19 21 34 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 575,757 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Combo Profile
From a number-profile view, the outcome shows 5 distinct numbers with no repeats in the numbers. The spread runs 8 to 34 (wide).
Why Droughts Matter
Droughts do not indicate what will happen next - they simply document what has already occurred. Their value lies in measuring distribution over long horizons and identifying when a combination performs far above or below its expected appearance rate.
Data Notes
This report summarizes observed outcomes for Monday night, June 1, 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 intended to document distribution behavior over time as context for disciplined analysis. It is meant to inform, not forecast.
Additional Context
Long-horizon tracking is the only reliable way to separate short-term noise from persistent drift. By logging each outcome against its expected cadence, the system builds a distribution profile that becomes more stable as the sample grows.
Adding to the Long-Term Record
With its return, 08 14 19 21 34 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.