Tri-State Pick 3 Results
On Sunday midday, May 17, 2026, the Tri-State Pick 3 draw in New Hampshire produced a notable return: 887 after days of absence. Against an expected cadence of 1 in 1,000 draws (~500 days), the gap registers as a clear deviation in timing that merits documentation in the historical record.
Winning numbers for 2 draws on May 17, 2026 in New Hampshire.
Draw times: Evening, Midday.
Our take on the Tri-State Pick 3 results
May 17, 2026Tri-State Pick 3 report — Sunday midday, May 17, 2026: 887 shows a notable pattern
On Sunday midday, May 17, 2026, the Tri-State Pick 3 draw in New Hampshire produced a notable return: 887 after days of absence. Against an expected cadence of 1 in 1,000 draws (~500 days), the gap registers as a clear deviation in timing that merits documentation in the historical record.
Overview
On Sunday midday, May 17, 2026, the Tri-State Pick 3 draw in New Hampshire produced a notable return: 887 after days of absence. Against an expected cadence of 1 in 1,000 draws (~500 days), the gap registers as a clear deviation in timing that merits documentation in the historical record.
Combo Profile
Beyond the drought, the digits show a clean structure: 2 distinct digits with a repeated digit, spanning 7 to 8 (tight spread).
Why Droughts Matter
Large gaps are best read as context, not predictive - they document what has already happened. They help analysts track drift against expected cadence.
Data Notes
This analysis uses the draw results recorded for Sunday midday, May 17, 2026 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
Stepzero produces these reports to provide a calm, evidence-first record of how draw patterns unfold over time. The aim is clarity and continuity - a reference point for long-horizon tracking rather than a call to action.
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. Record-keeping at scale becomes the foundation for analysis. Each outcome, whether typical or unusual, contributes to the stability and clarity of the long-run picture.
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.