Tri-State Pick 3 Results
On Saturday night, May 16, 2026, the Tri-State Pick 3 draw in New Hampshire produced a notable return: 093 after 1164 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 16, 2026 in New Hampshire.
Draw times: Evening, Midday.
Our take on the Tri-State Pick 3 results
May 16, 2026Tri-State Pick 3 report — Saturday night, May 16, 2026: 093 returns after 1,164 days
On Saturday night, May 16, 2026, the Tri-State Pick 3 draw in New Hampshire produced a notable return: 093 after 1164 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 Saturday night, May 16, 2026, the Tri-State Pick 3 draw in New Hampshire produced a notable return: 093 after 1164 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.
A Long-Awaited Return
The historical window shows 093 resurfacing after 1164 days without an appearance with the prior date not visible here. The length alone marks it as low-frequency.
Combo Profile
As a digit pattern, 093 uses 3 distinct digits and a wide spread from 0 to 9.
Why Droughts Matter
Deep gaps are best treated as context, not a forecast - they record variance across time. They help analysts track drift against expected cadence.
Data Notes
Specifically: this report records the results logged for Saturday night, May 16, 2026 and evaluates them against long-run frequency baselines. It is context-focused, not predictive.
From Stepzero
In summary: these reports are intended to keep the long-horizon record steady for analysts and long-run tracking. The intent is clarity, not prediction.
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.
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.