Tri-State Pick 3 Results
On Monday midday, May 25, 2026, the Tri-State Pick 3 draw in New Hampshire brought 701 back after 636 days away. Given an expected cadence of 1 in 1,000 draws (~500 days), this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Winning numbers for 2 draws on May 25, 2026 in New Hampshire.
Draw times: Evening, Midday.
Our take on the Tri-State Pick 3 results
May 25, 2026Tri-State Pick 3 report — Monday midday, May 25, 2026: 701 returns after 636 days
On Monday midday, May 25, 2026, the Tri-State Pick 3 draw in New Hampshire brought 701 back after 636 days away. Given an expected cadence of 1 in 1,000 draws (~500 days), this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Overview
On Monday midday, May 25, 2026, the Tri-State Pick 3 draw in New Hampshire brought 701 back after 636 days away. Given an expected cadence of 1 in 1,000 draws (~500 days), this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
A Long-Awaited Return
The available record shows 701 returning after 636 days. That span is long enough to register as a low-frequency outcome even when the exact prior date is not surfaced.
Combo Profile
As a digit pattern, 701 uses 3 distinct digits and a wide spread from 0 to 7.
Why Droughts Matter
Deep gaps are best read as context, not prescriptive - they mark how variance accumulates over long samples. They clarify how far outcomes drift from baseline cadence.
Data Notes
This report summarizes observed outcomes for Monday midday, May 25, 2026 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
Importantly: this series is meant to maintain continuity across the record for analysts and long-run tracking. The intent is clarity, not prediction.
Additional Context
Long-horizon tracking is the only reliable way to separate short-term noise from persistent drift. By logging each outcome against its expected cadence, the system builds a distribution profile that becomes more stable as the sample grows.
Adding to the Long-Term Record
From a long-horizon view, this result adds another data point to the long-horizon record. Reliability is a function of the growing record.