Tri-State Gimme 5 Results
On Tuesday night, February 17, 2026, the Tri-State Gimme 5 draw in New Hampshire marked a notable return: 11 12 23 28 30 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 February 17, 2026 in New Hampshire.
Draw times: Evening.
Our take on the Tri-State Gimme 5 results
February 17, 2026Tri-State Gimme 5 report — Tuesday night, February 17, 2026: 11 12 23 28 30 shows a notable pattern
On Tuesday night, February 17, 2026, the Tri-State Gimme 5 draw in New Hampshire marked a notable return: 11 12 23 28 30 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 Tuesday night, February 17, 2026, the Tri-State Gimme 5 draw in New Hampshire marked a notable return: 11 12 23 28 30 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
Structurally, the combination has 5 distinct numbers while showing no repeats. Its range is 11 to 30 with a wide spread.
Why Droughts Matter
Extended absences function as context, not prescriptive - they mark how variance accumulates over long samples. They offer context for distribution stability over time.
Data Notes
Results are evaluated against historical frequency baselines where available. The goal is documentation and context rather than prediction.
From Stepzero
Simply put: these reports are built to maintain continuity across the record as a record, not a recommendation. It is meant to inform, not forecast.
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. 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
The return of 11 12 23 28 30 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.