Tri-State Megabucks Results
On Saturday night, March 21, 2026, the Tri-State Megabucks draw in Vermont marked a notable return: 12 25 32 35 36 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 749,398 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Winning numbers for 1 draw on March 21, 2026 in Vermont.
Draw times: Evening.
Our take on the Tri-State Megabucks results
March 21, 2026Tri-State Megabucks report — Saturday night, March 21, 2026: 12 25 32 35 36 shows a notable pattern
On Saturday night, March 21, 2026, the Tri-State Megabucks draw in Vermont marked a notable return: 12 25 32 35 36 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 749,398 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Overview
On Saturday night, March 21, 2026, the Tri-State Megabucks draw in Vermont marked a notable return: 12 25 32 35 36 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 749,398 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Combo Profile
As a number pattern, 12 25 32 35 36 uses 5 distinct numbers and a wide spread from 12 to 36.
Why Droughts Matter
Long droughts are descriptive, not forward-looking - they highlight the tail behavior of the system. They offer context for distribution stability over time.
Data Notes
This report summarizes observed outcomes for Saturday night, March 21, 2026 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
The core idea: this series is meant to document distribution behavior 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. 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
The return of 12 25 32 35 36 expands the archive by one more data point. It is the accumulation of these entries, not a single draw, that defines the reliability of long-horizon analysis.