Tri-State Megabucks Results
On Wednesday night, April 1, 2026, the Tri-State Megabucks draw in Vermont brought 05 22 31 33 36 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 April 1, 2026 in Vermont.
Draw times: Evening.
Our take on the Tri-State Megabucks results
April 1, 2026Tri-State Megabucks report — Wednesday night, April 1, 2026: 05 22 31 33 36 shows a notable pattern
On Wednesday night, April 1, 2026, the Tri-State Megabucks draw in Vermont brought 05 22 31 33 36 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 Wednesday night, April 1, 2026, the Tri-State Megabucks draw in Vermont brought 05 22 31 33 36 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
As a number shape, 05 22 31 33 36 holds 5 distinct numbers with no repeats noted. The numbers cover 5 to 36 with a wide range.
Why Droughts Matter
Extended absences like this provide context, not direction. They show how randomness behaves across large samples and help analysts quantify how often the system deviates from its baseline cadence.
Data Notes
Worth noting: this report records results recorded for Wednesday night, April 1, 2026 and benchmarks them against historical frequency baselines. The intent is documentation, not forecasting.
From Stepzero
Stepzero produces these reports to provide a calm, evidence-first record of how draw patterns unfold over time. The aim is clarity and continuity - a reference point for long-horizon tracking rather than a call to action.
Additional Context
Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges. Context improves with scale. As more draws accumulate, isolated anomalies either normalize into baseline rates or reveal persistent deviations that warrant closer monitoring.
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.