Tri-State Pick 3 Results
On Sunday midday, March 15, 2026, the Tri-State Pick 3 draw in Vermont brought 059 back after 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 March 15, 2026 in Vermont.
Draw times: Evening, Midday.
Our take on the Tri-State Pick 3 results
March 15, 2026Tri-State Pick 3 report — Sunday midday, March 15, 2026: 059 shows a notable pattern
On Sunday midday, March 15, 2026, the Tri-State Pick 3 draw in Vermont brought 059 back after 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 Sunday midday, March 15, 2026, the Tri-State Pick 3 draw in Vermont brought 059 back after 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.
Combo Profile
The digits in 059 cover a wide range (0 to 9) with no repeats.
Why Droughts Matter
Deep gaps are best treated as context, not directional - they highlight the tail behavior of the system. They offer context for distribution stability over time.
Data Notes
This report summarizes observed outcomes for Sunday midday, March 15, 2026 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
At Stepzero, the priority is accuracy and context. This report is intended as a historical record entry, not a forecast.
Additional Context
Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to expected ranges.
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.
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.