Tri-State Gimme 5 Results
On Friday night, February 27, 2026, the Tri-State Gimme 5 draw in New Hampshire marked a notable return: 03 22 25 35 37 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 27, 2026 in New Hampshire.
Draw times: Evening.
Our take on the Tri-State Gimme 5 results
February 27, 2026Tri-State Gimme 5 report — Friday night, February 27, 2026: 03 22 25 35 37 shows a notable pattern
On Friday night, February 27, 2026, the Tri-State Gimme 5 draw in New Hampshire marked a notable return: 03 22 25 35 37 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, February 27, 2026, the Tri-State Gimme 5 draw in New Hampshire marked a notable return: 03 22 25 35 37 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 view, this sequence holds 5 distinct numbers and no repeats. The numbers cover 3 to 37 with a wide range.
Why Droughts Matter
Long gaps are context, not prescriptive - they mark how variance accumulates over long samples. They make variance visible across extended windows.
Data Notes
This analysis uses the draw results recorded for Friday night, February 27, 2026 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
The takeaway: these reports are built to keep a calm, evidence-first record as a stable reference point. The aim is a trustworthy record.
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. 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.
Adding to the Long-Term Record
This result adds a measurable entry to the long-term record. Over time, those entries are what sharpen distribution analysis and reveal whether the system is tracking its expected cadence.