Tri-State Gimme 5 Results
On Wednesday night, May 13, 2026, the Tri-State Gimme 5 draw in Vermont brought 07 09 16 24 30 back after days away. Given an expected cadence of 1 in 575,757 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Winning numbers for 1 draw on May 13, 2026 in Vermont.
Draw times: Evening.
Our take on the Tri-State Gimme 5 results
May 13, 2026Tri-State Gimme 5 report — Wednesday night, May 13, 2026: 07 09 16 24 30 shows a notable pattern
On Wednesday night, May 13, 2026, the Tri-State Gimme 5 draw in Vermont brought 07 09 16 24 30 back after days away. Given an expected cadence of 1 in 575,757 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Overview
On Wednesday night, May 13, 2026, the Tri-State Gimme 5 draw in Vermont brought 07 09 16 24 30 back after days away. Given an expected cadence of 1 in 575,757 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Combo Profile
Beyond the drought, the numbers show a clean structure: 5 distinct numbers with no repeats, spanning 7 to 30 (wide spread).
Why Droughts Matter
Extended absences are best read as context, not a forecast - they highlight the tail behavior of the system. They help quantify how often outcomes move into the tails.
Data Notes
This analysis uses the draw results recorded for Wednesday night, 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
The takeaway: this reporting is built to preserve a stable long-horizon record as a stable reference point. The focus is long-horizon context.
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.
Adding to the Long-Term Record
The return of 07 09 16 24 30 expands the archive by one more data point. It is the accumulation of these entries, not a single draw, that defines the reliability of long-horizon analysis.