Tri-State Gimme 5 Results
On Wednesday night, March 18, 2026, the Tri-State Gimme 5 draw in New Hampshire marked a notable return: 08 10 21 30 35 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 March 18, 2026 in New Hampshire.
Draw times: Evening.
Our take on the Tri-State Gimme 5 results
March 18, 2026Tri-State Gimme 5 report — Wednesday night, March 18, 2026: 08 10 21 30 35 shows a notable pattern
On Wednesday night, March 18, 2026, the Tri-State Gimme 5 draw in New Hampshire marked a notable return: 08 10 21 30 35 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 Wednesday night, March 18, 2026, the Tri-State Gimme 5 draw in New Hampshire marked a notable return: 08 10 21 30 35 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 08 10 21 30 35 cover a wide range (8 to 35) with no repeats.
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
Results are evaluated against historical frequency baselines where available. The goal is documentation and context rather than prediction.
From Stepzero
The takeaway: these reports are intended to keep the record consistent over time as a calm, evidence-first reference. 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. 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
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.