Tri-State Pick 4 Results
On Wednesday midday, May 13, 2026, the Tri-State Pick 4 draw in Vermont marked a notable return: 1525 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 10,000 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Winning numbers for 2 draws on May 13, 2026 in Vermont.
Draw times: Evening, Midday.
Our take on the Tri-State Pick 4 results
May 13, 2026Tri-State Pick 4 report — Wednesday midday, May 13, 2026: 1525 shows a notable pattern
On Wednesday midday, May 13, 2026, the Tri-State Pick 4 draw in Vermont marked a notable return: 1525 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 10,000 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Overview
On Wednesday midday, May 13, 2026, the Tri-State Pick 4 draw in Vermont marked a notable return: 1525 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 10,000 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
A Subtle Pattern in the Digits
Another small signal came from overlap: 1 showed again across the two results, 1525 and 8651. A single repeat is not a forward signal. Overlap rates become meaningful only over time.
Combo Profile
Beyond the drought, the digits show a clean structure: 3 distinct digits with a repeated digit, spanning 1 to 5 (moderate spread).
Why Droughts Matter
Long droughts are best treated as context, not predictive - they show where spacing departs from typical cadence. They clarify how far outcomes drift from baseline cadence.
Data Notes
This analysis uses the draw results recorded for Wednesday midday, May 13, 2026 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
Simply put: this reporting is shaped to keep a calm, evidence-first record as a reliable record for analysts. The goal is clarity and stability.
Additional Context
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
Over the long run, this draw contributes one more record entry to the long-run dataset. Reliability is a function of the growing record.