Tri-State Gimme 5 Results
For the Tri-State Gimme 5 draw on Friday night, May 22, 2026, 02 07 15 17 26 landed again after days without an appearance in the New Hampshire draw 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 22, 2026 in New Hampshire.
Draw times: Evening.
Our take on the Tri-State Gimme 5 results
May 22, 2026Tri-State Gimme 5 report — Friday night, May 22, 2026: 02 07 15 17 26 shows a notable pattern
For the Tri-State Gimme 5 draw on Friday night, May 22, 2026, 02 07 15 17 26 landed again after days without an appearance in the New Hampshire draw record. With an expected cadence of 1 in 575,757 draws, the gap sits well beyond typical spacing.
Overview
For the Tri-State Gimme 5 draw on Friday night, May 22, 2026, 02 07 15 17 26 landed again after days without an appearance in the New Hampshire draw record. With an expected cadence of 1 in 575,757 draws, the gap sits well beyond typical spacing.
Combo Profile
As a number shape, this sequence uses 5 distinct numbers with no repeats in the numbers. The numbers run from 2 to 26 with a wide range.
Why Droughts Matter
Extended absences like this provide context, not direction. They show how randomness behaves across large samples and help analysts quantify how often the system deviates from its baseline cadence.
Data Notes
This report summarizes observed outcomes for Friday night, May 22, 2026 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
The core idea: this reporting is built to maintain continuity across the record as context for disciplined analysis. The aim is a trustworthy record.
Additional Context
Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to expected ranges.
Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges.
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-term record, this appearance contributes one more record entry by one more data point. The record gains clarity as entries accumulate.