Tri-State Pick 3 Results
On Sunday midday, March 29, 2026, 992 landed again after a 967-day gap for Vermont. Given an expected cadence of 1 in 1,000 draws (~500 days), the interval lands deep in the long-gap tail.
Winning numbers for 2 draws on March 29, 2026 in Vermont.
Draw times: Evening, Midday.
Our take on the Tri-State Pick 3 results
March 29, 2026Tri-State Pick 3 report — Sunday midday, March 29, 2026: 992 returns after 967 days
On Sunday midday, March 29, 2026, 992 landed again after a 967-day gap for Vermont. Given an expected cadence of 1 in 1,000 draws (~500 days), the interval lands deep in the long-gap tail.
Overview
On Sunday midday, March 29, 2026, 992 landed again after a 967-day gap for Vermont. Given an expected cadence of 1 in 1,000 draws (~500 days), the interval lands deep in the long-gap tail.
A Long-Awaited Return
The available record shows 992 returning after 967 days. That span is long enough to register as a low-frequency outcome even when the exact prior date is not surfaced.
Combo Profile
Beyond the drought, the digits show a clean structure: 2 distinct digits with a repeated digit, spanning 2 to 9 (wide spread).
Why Droughts Matter
A long drought is descriptive rather than predictive. It records variance across time and helps analysts evaluate whether outcomes are tracking within expected frequency bands or drifting into the tails of the distribution.
Data Notes
This analysis uses the draw results recorded for Sunday midday, March 29, 2026 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
At Stepzero, the priority is accuracy and context. This report is intended as a historical record entry, not a forecast.
Additional Context
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. 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
Across the long-term record, this appearance contributes one more record entry by one more data point. The long-run picture sharpens as entries accrue.