Tri-State Gimme 5 Results
On Wednesday night, May 20, 2026, the Tri-State Gimme 5 draw in New Hampshire brought 04 10 22 23 27 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 20, 2026 in New Hampshire.
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
On Wednesday night, May 20, 2026, the Tri-State Gimme 5 draw in New Hampshire brought 04 10 22 23 27 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 20, 2026, the Tri-State Gimme 5 draw in New Hampshire brought 04 10 22 23 27 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
As a number shape, 04 10 22 23 27 has 5 distinct numbers while showing no repeats. The numbers cover 4 to 27 with a wide range.
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
This analysis uses the draw results recorded for Wednesday night, May 20, 2026 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
At Stepzero, the priority is accuracy and context. This report is intended as a historical record entry, not a forecast.
Additional Context
Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges. 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.