Tri-State Pick 4 Results
On Friday midday, February 13, 2026, the Tri-State Pick 4 draw in Vermont marked a notable return: 5113 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 February 13, 2026 in Vermont.
Draw times: Evening, Midday.
Our take on the Tri-State Pick 4 results
February 13, 2026Tri-State Pick 4 report — Friday midday, February 13, 2026: 5113 shows a notable pattern
On Friday midday, February 13, 2026, the Tri-State Pick 4 draw in Vermont marked a notable return: 5113 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 Friday midday, February 13, 2026, the Tri-State Pick 4 draw in Vermont marked a notable return: 5113 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.
Combo Profile
The digits in 5113 cover a moderate range (1 to 5) with a repeated digit.
Why Droughts Matter
Droughts do not indicate what will happen next - they simply document what has already occurred. Their value lies in measuring distribution over long horizons and identifying when a combination performs far above or below its expected appearance rate.
Data Notes
This analysis uses the draw results recorded for Friday midday, February 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
Stepzero focuses on documenting distribution behavior over large samples. Each report is a snapshot of observed outcomes, designed to support disciplined, long-term analysis.
Additional Context
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. 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
Across the long-horizon record, this return adds a fresh entry to the record to the long-run dataset. Long-horizon stability comes from accumulation.