Tri-State Gimme 5 Results
In the Tri-State Gimme 5 draw on Monday night, May 18, 2026, 03 11 18 25 26 reappeared after a -day wait for New Hampshire. Against the expected cadence of 1 in 575,757 draws, the interval is well beyond typical spacing.
Winning numbers for 1 draw on May 18, 2026 in New Hampshire.
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 reappeared after a -day wait for New Hampshire. Against the expected cadence of 1 in 575,757 draws, the interval is well beyond typical spacing.
Overview
In the Tri-State Gimme 5 draw on Monday night, May 18, 2026, 03 11 18 25 26 reappeared after a -day wait for New Hampshire. Against the expected cadence of 1 in 575,757 draws, the interval is well beyond typical spacing.
Combo Profile
The numbers in 03 11 18 25 26 cover a wide range (3 to 26) with no repeats.
Why Droughts Matter
Large gaps are context markers, not directional - 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 Monday night, May 18, 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.
Context improves with scale. As more draws accumulate, isolated anomalies either normalize into baseline rates or reveal persistent deviations that warrant closer monitoring.
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.
Adding to the Long-Term Record
In long-horizon tracking, this draw adds another data point to the historical dataset. It is the cumulative record that makes analysis stable.