Tri-State Gimme 5 Results
On Friday night, January 9, 2026, the Tri-State Gimme 5 draw in Vermont marked a notable return: 06 17 21 25 32 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 January 9, 2026 in Vermont.
Draw times: Evening.
Our take on the Tri-State Gimme 5 results
January 9, 2026Tri-State Gimme 5 report — Friday night, January 9, 2026: 06 17 21 25 32 shows a notable pattern
On Friday night, January 9, 2026, the Tri-State Gimme 5 draw in Vermont marked a notable return: 06 17 21 25 32 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 Friday night, January 9, 2026, the Tri-State Gimme 5 draw in Vermont marked a notable return: 06 17 21 25 32 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 angle, the outcome contains 5 distinct numbers with no repeats noted. The range sits at 6 to 32, a wide spread.
Why Droughts Matter
Extended gaps are context, not forward-looking - they show where spacing departs from typical cadence. Their value is in long-horizon tracking.
Data Notes
This report summarizes observed outcomes for Friday night, January 9, 2026 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
Simply put: this series is meant to document distribution behavior over time as a reference point for continuity. The aim is a trustworthy record.
Additional Context
Record-keeping at scale becomes the foundation for analysis. Each outcome, whether typical or unusual, contributes to the stability and clarity of the long-run picture. Record-keeping at scale becomes the foundation for analysis. Each outcome, whether typical or unusual, contributes to the stability and clarity of the long-run picture.
Adding to the Long-Term Record
Across the long-term record, this return adds another data point to the long-run dataset. Long-horizon stability comes from accumulation.