Tri-State Megabucks Results
On Monday night, January 5, 2026, the Tri-State Megabucks draw in Vermont brought 01 09 17 21 28 back after days away. Given an expected cadence of 1 in 749,398 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 January 5, 2026 in Vermont.
Draw times: Evening.
Our take on the Tri-State Megabucks results
January 5, 2026Tri-State Megabucks report — Monday night, January 5, 2026: 01 09 17 21 28 shows a notable pattern
On Monday night, January 5, 2026, the Tri-State Megabucks draw in Vermont brought 01 09 17 21 28 back after days away. Given an expected cadence of 1 in 749,398 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, January 5, 2026, the Tri-State Megabucks draw in Vermont brought 01 09 17 21 28 back after days away. Given an expected cadence of 1 in 749,398 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Combo Profile
From a pattern view, the combination uses 5 distinct numbers with no repeats. Its range is 1 to 28 with a wide spread.
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
Worth noting: this analysis records the recorded draws for Monday night, January 5, 2026 and compares them to historical cadence. The goal is context, not prediction.
From Stepzero
Stepzero focuses on documenting distribution behavior over large samples. Each report is a snapshot of observed outcomes, designed to support disciplined, long-term analysis.
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. 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.