Tri-State Gimme 5 Results
On Monday night, February 16, 2026, in the New Hampshire Tri-State Gimme 5 draw, 24 30 31 32 34 came back after days away in the New Hampshire record. The gap is long enough to stand out without relying on cadence benchmarks.
Winning numbers for 1 draw on February 16, 2026 in New Hampshire.
Draw times: Evening.
Our take on the Tri-State Gimme 5 results
February 16, 2026Tri-State Gimme 5 report — Monday night, February 16, 2026: 24 30 31 32 34 shows a notable pattern
On Monday night, February 16, 2026, in the New Hampshire Tri-State Gimme 5 draw, 24 30 31 32 34 came back after days away in the New Hampshire record. The gap is long enough to stand out without relying on cadence benchmarks.
Overview
On Monday night, February 16, 2026, in the New Hampshire Tri-State Gimme 5 draw, 24 30 31 32 34 came back after days away in the New Hampshire record. The gap is long enough to stand out without relying on cadence benchmarks.
Combo Profile
From a number profile angle, the outcome has 5 distinct numbers while showing no repeats. The range from 24 to 34 is a wide spread.
Why Droughts Matter
Droughts do not indicate what will happen next - they simply document what has already occurred. Their value lies in measuring distribution over long horizons and identifying when a combination performs far above or below its expected appearance rate.
Data Notes
To clarify: this report summarizes results recorded for Monday night, February 16, 2026 and benchmarks them against historical frequency baselines. It is intended for context, not forecasting.
From Stepzero
At Stepzero, the priority is accuracy and context. This report is intended as a historical record entry, not a 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.
Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges.
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
Across the long-term record, this entry adds another data point to the archive. Reliability is a function of the growing record.