Tri-State Gimme 5 Results
On Monday night, April 13, 2026, the Tri-State Gimme 5 draw in Vermont marked a notable return: 02 06 08 23 29 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 April 13, 2026 in Vermont.
Draw times: Evening.
Our take on the Tri-State Gimme 5 results
April 13, 2026Tri-State Gimme 5 report — Monday night, April 13, 2026: 02 06 08 23 29 shows a notable pattern
On Monday night, April 13, 2026, the Tri-State Gimme 5 draw in Vermont marked a notable return: 02 06 08 23 29 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, April 13, 2026, the Tri-State Gimme 5 draw in Vermont marked a notable return: 02 06 08 23 29 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
As a number pattern, 02 06 08 23 29 uses 5 distinct numbers and a wide spread from 2 to 29.
Why Droughts Matter
Large gaps function as context, not a forecast - they show how distribution tails behave. They offer context for distribution stability over time.
Data Notes
This report summarizes observed outcomes for Monday night, April 13, 2026 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
To be clear: this reporting is shaped to keep the long-horizon record steady for analysts and long-run tracking. The aim is a trustworthy record.
Additional Context
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. Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to expected ranges.
Adding to the Long-Term Record
With its return, 02 06 08 23 29 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.