Tri-State Gimme 5 Results
On Monday night, March 16, 2026, the Tri-State Gimme 5 draw in New Hampshire produced a notable return: 01 08 17 30 35 after days of absence. Against an expected cadence of 1 in 575,757 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Winning numbers for 1 draw on March 16, 2026 in New Hampshire.
Draw times: Evening.
Our take on the Tri-State Gimme 5 results
March 16, 2026Tri-State Gimme 5 report — Monday night, March 16, 2026: 01 08 17 30 35 shows a notable pattern
On Monday night, March 16, 2026, the Tri-State Gimme 5 draw in New Hampshire produced a notable return: 01 08 17 30 35 after days of absence. Against an expected cadence of 1 in 575,757 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Overview
On Monday night, March 16, 2026, the Tri-State Gimme 5 draw in New Hampshire produced a notable return: 01 08 17 30 35 after days of absence. Against an expected cadence of 1 in 575,757 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Combo Profile
As a number pattern, 01 08 17 30 35 uses 5 distinct numbers and a wide spread from 1 to 35.
Why Droughts Matter
Large gaps are context, not a forecast - they record variance across time. They offer context for distribution stability over time.
Data Notes
This analysis uses the draw results recorded for Monday night, March 16, 2026 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
To be clear: this reporting is shaped to keep the record consistent over time for analysts and long-run tracking. The focus is long-horizon context.
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. 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
With its return, 01 08 17 30 35 contributes another meaningful data point to the historical dataset. Each draw - whether routine or statistically unusual - refines the long-term view of how large random systems behave over time.