Tri-State Gimme 5 Results
On Wednesday night, April 29, 2026, the Tri-State Gimme 5 draw in Vermont produced a notable return: 13 19 20 23 35 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 April 29, 2026 in Vermont.
Draw times: Evening.
Our take on the Tri-State Gimme 5 results
April 29, 2026Tri-State Gimme 5 report — Wednesday night, April 29, 2026: 13 19 20 23 35 shows a notable pattern
On Wednesday night, April 29, 2026, the Tri-State Gimme 5 draw in Vermont produced a notable return: 13 19 20 23 35 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 Wednesday night, April 29, 2026, the Tri-State Gimme 5 draw in Vermont produced a notable return: 13 19 20 23 35 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
As a number pattern, 13 19 20 23 35 uses 5 distinct numbers and a wide spread from 13 to 35.
Why Droughts Matter
A long drought is descriptive rather than predictive. It records variance across time and helps analysts evaluate whether outcomes are tracking within expected frequency bands or drifting into the tails of the distribution.
Data Notes
This analysis uses the draw results recorded for Wednesday night, April 29, 2026 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
Stepzero produces these reports to provide a calm, evidence-first record of how draw patterns unfold over time. The aim is clarity and continuity - a reference point for long-horizon tracking rather than a call to action.
Additional Context
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
With its return, 13 19 20 23 35 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.