Tri-State Gimme 5 Results
On Monday night, June 10, 2024, the Tri-State Gimme 5 draw in New Hampshire brought 01 07 17 18 30 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 June 10, 2024 in New Hampshire.
Draw times: Evening.
Our take on the Tri-State Gimme 5 results
June 10, 2024Tri-State Gimme 5 report — Monday night, June 10, 2024: 01 07 17 18 30 shows a notable pattern
On Monday night, June 10, 2024, the Tri-State Gimme 5 draw in New Hampshire brought 01 07 17 18 30 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 Monday night, June 10, 2024, the Tri-State Gimme 5 draw in New Hampshire brought 01 07 17 18 30 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
Structurally, the outcome has 5 distinct numbers with no repeats in the pattern. The spread runs 1 to 30 (wide).
Why Droughts Matter
Large gaps function as context, not predictive - they show how distribution tails behave. Their value is in long-horizon tracking.
Data Notes
This analysis uses the draw results recorded for Monday night, June 10, 2024 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
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.
Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges.
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
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.