Tri-State Gimme 5 Results
On Tuesday night, February 10, 2026, the Tri-State Gimme 5 draw in New Hampshire marked a notable return: 14 15 21 29 33 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 10, 2026 in New Hampshire.
Draw times: Evening.
Our take on the Tri-State Gimme 5 results
February 10, 2026Tri-State Gimme 5 report — Tuesday night, February 10, 2026: 14 15 21 29 33 shows a notable pattern
On Tuesday night, February 10, 2026, the Tri-State Gimme 5 draw in New Hampshire marked a notable return: 14 15 21 29 33 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 10, 2026, the Tri-State Gimme 5 draw in New Hampshire marked a notable return: 14 15 21 29 33 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
The numbers in 14 15 21 29 33 cover a wide range (14 to 33) with no repeats.
Why Droughts Matter
Long gaps are best read as context, not forward-looking - they show how distribution tails behave. They help quantify how often outcomes move into the tails.
Data Notes
The approach: this report documents the results logged for Tuesday night, February 10, 2026 with comparison to long-run frequency baselines. The goal is context, not prediction.
From Stepzero
At its core: this reporting is shaped to keep the record consistent over time as context for disciplined analysis. 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. Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges.
Adding to the Long-Term Record
The return of 14 15 21 29 33 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.