Tri-State Gimme 5 Results
On Thursday night, February 12, 2026, the Tri-State Gimme 5 draw in New Hampshire marked a notable return: 07 14 19 23 34 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 12, 2026 in New Hampshire.
Draw times: Evening.
Our take on the Tri-State Gimme 5 results
February 12, 2026Tri-State Gimme 5 report — Thursday night, February 12, 2026: 07 14 19 23 34 shows a notable pattern
On Thursday night, February 12, 2026, the Tri-State Gimme 5 draw in New Hampshire marked a notable return: 07 14 19 23 34 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 Thursday night, February 12, 2026, the Tri-State Gimme 5 draw in New Hampshire marked a notable return: 07 14 19 23 34 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
Beyond the drought, the numbers show a clean structure: 5 distinct numbers with no repeats, spanning 7 to 34 (wide spread).
Why Droughts Matter
Long droughts are context, not a cue - they highlight the tail behavior of the system. They help analysts track drift against expected cadence.
Data Notes
In detail: this report documents the results logged for Thursday night, February 12, 2026 with comparison to long-run frequency baselines. This is descriptive, not predictive.
From Stepzero
The takeaway: this reporting is shaped to maintain continuity across the record as context for disciplined analysis. It is meant to inform, not forecast.
Additional Context
Context improves with scale. As more draws accumulate, isolated anomalies either normalize into baseline rates or reveal persistent deviations that warrant closer monitoring. 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
The return of 07 14 19 23 34 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.