Tri-State Gimme 5 Results
In the Tri-State Gimme 5 draw on Monday night, May 18, 2026, 03 11 18 25 26 returned after a -day gap in the Vermont record. With an expected cadence of 1 in 575,757 draws, the gap sits well beyond typical spacing.
Winning numbers for 1 draw on May 18, 2026 in Vermont.
Draw times: Evening.
Our take on the Tri-State Gimme 5 results
May 18, 2026Tri-State Gimme 5 report — Monday night, May 18, 2026: 03 11 18 25 26 shows a notable pattern
In the Tri-State Gimme 5 draw on Monday night, May 18, 2026, 03 11 18 25 26 returned after a -day gap in the Vermont record. With an expected cadence of 1 in 575,757 draws, the gap sits well beyond typical spacing.
Overview
In the Tri-State Gimme 5 draw on Monday night, May 18, 2026, 03 11 18 25 26 returned after a -day gap in the Vermont record. With an expected cadence of 1 in 575,757 draws, the gap sits well beyond typical spacing.
Combo Profile
As a number shape, the pattern has 5 distinct numbers with no repeats present. The spread runs 3 to 26 (wide).
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
The method: this analysis records the results logged for Monday night, May 18, 2026 and compares them to historical cadence. This is descriptive, not predictive.
From Stepzero
At its core: this reporting is designed to keep a calm, evidence-first record as a stable reference point. The focus is long-horizon context.
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. 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.
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.