Tri-State Gimme 5 Results
On Friday night, January 30, 2026, the Tri-State Gimme 5 draw in New Hampshire marked a notable return: 13 25 26 31 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 30, 2026 in New Hampshire.
Draw times: Evening.
Our take on the Tri-State Gimme 5 results
January 30, 2026Tri-State Gimme 5 report — Friday night, January 30, 2026: 13 25 26 31 32 shows a notable pattern
On Friday night, January 30, 2026, the Tri-State Gimme 5 draw in New Hampshire marked a notable return: 13 25 26 31 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 30, 2026, the Tri-State Gimme 5 draw in New Hampshire marked a notable return: 13 25 26 31 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
In terms of number structure, this result settles on 5 distinct numbers with no repeats present. The range sits at 13 to 32, a wide spread.
Why Droughts Matter
Extended gaps are descriptive, not a forecast - they show how distribution tails behave. They provide a clean read on long-run variance.
Data Notes
This report summarizes observed outcomes for Friday night, January 30, 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 keep a calm, evidence-first record as a stable reference point. 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. 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
The return of 13 25 26 31 32 expands the archive by one more data point. It is the accumulation of these entries, not a single draw, that defines the reliability of long-horizon analysis.