Tri-State Gimme 5 Results
On Monday night, December 29, 2025, the Tri-State Gimme 5 draw in Vermont marked a notable return: 06 18 21 22 27 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 575,757 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Winning numbers for 1 draw on December 29, 2025 in Vermont.
Draw times: Evening.
Our take on the Tri-State Gimme 5 results
December 29, 2025Tri-State Gimme 5 report — Monday night, December 29, 2025: 06 18 21 22 27 shows a notable pattern
On Monday night, December 29, 2025, the Tri-State Gimme 5 draw in Vermont marked a notable return: 06 18 21 22 27 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 575,757 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Overview
On Monday night, December 29, 2025, the Tri-State Gimme 5 draw in Vermont marked a notable return: 06 18 21 22 27 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 575,757 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Combo Profile
Structurally, this result contains 5 distinct numbers while showing no repeats. The range sits at 6 to 27, a wide spread.
Why Droughts Matter
Deep gaps are best treated as context, not a cue - they show where spacing departs from typical cadence. They provide a clean read on long-run variance.
Data Notes
This report summarizes observed outcomes for Monday night, December 29, 2025 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
To be clear: these reports are built to keep the record consistent over time as context for disciplined analysis. The focus is long-horizon context.
Additional Context
Long-horizon tracking is the only reliable way to separate short-term noise from persistent drift. By logging each outcome against its expected cadence, the system builds a distribution profile that becomes more stable as the sample grows. 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
In long-horizon tracking, this draw adds a new point to the dataset to the long-run dataset. The long-run picture sharpens as entries accrue.