Tri-State Gimme 5 Results
In the Tri-State Gimme 5 draw on Wednesday night, May 20, 2026, 04 10 22 23 27 returned after a -day wait in Vermont. With an expected cadence of 1 in 575,757 draws, the gap sits well beyond typical spacing.
Winning numbers for 1 draw on May 20, 2026 in Vermont.
Draw times: Evening.
Our take on the Tri-State Gimme 5 results
May 20, 2026Tri-State Gimme 5 report — Wednesday night, May 20, 2026: 04 10 22 23 27 shows a notable pattern
In the Tri-State Gimme 5 draw on Wednesday night, May 20, 2026, 04 10 22 23 27 returned after a -day wait in Vermont. 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 Wednesday night, May 20, 2026, 04 10 22 23 27 returned after a -day wait in Vermont. With an expected cadence of 1 in 575,757 draws, the gap sits well beyond typical spacing.
Combo Profile
From a number profile angle, 04 10 22 23 27 shows 5 distinct numbers with no repeats. The range from 4 to 27 is a wide spread.
Why Droughts Matter
Extended absences are descriptive, not a signal - they show how distribution tails behave. They clarify how far outcomes drift from baseline cadence.
Data Notes
In detail: this report records the recorded draws for Wednesday night, May 20, 2026 and compares them to historical cadence. This is descriptive, not predictive.
From Stepzero
At its core: this reporting is designed to keep the long-horizon record steady as a record, not a recommendation. The intent is clarity, not prediction.
Additional Context
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.
Context improves with scale. As more draws accumulate, isolated anomalies either normalize into baseline rates or reveal persistent deviations that warrant closer monitoring.
Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to expected ranges.
Adding to the Long-Term Record
Across the long-term record, this result contributes one more record entry to the long-horizon record. Reliability is a function of the growing record.