Tri-State Gimme 5 Results
On Thursday night, April 16, 2026, the Tri-State Gimme 5 draw in Vermont brought 13 15 24 25 28 back after days away. Given an expected cadence of 1 in 575,757 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Winning numbers for 1 draw on April 16, 2026 in Vermont.
Draw times: Evening.
Our take on the Tri-State Gimme 5 results
April 16, 2026Tri-State Gimme 5 report — Thursday night, April 16, 2026: 13 15 24 25 28 shows a notable pattern
On Thursday night, April 16, 2026, the Tri-State Gimme 5 draw in Vermont brought 13 15 24 25 28 back after days away. Given an expected cadence of 1 in 575,757 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Overview
On Thursday night, April 16, 2026, the Tri-State Gimme 5 draw in Vermont brought 13 15 24 25 28 back after days away. Given an expected cadence of 1 in 575,757 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Combo Profile
Structurally, the outcome contains 5 distinct numbers with no repeats noted. The numbers cover 13 to 28 with a wide range.
Why Droughts Matter
Prolonged absences remain descriptive, not a signal - they show how distribution tails behave. They make variance visible across extended windows.
Data Notes
This report summarizes observed outcomes for Thursday night, April 16, 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 a calm, evidence-first record for analysts and long-run tracking. The priority is accuracy and continuity.
Additional Context
Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to expected ranges. 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 15 24 25 28 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.