Mega Millions Results
On Friday night, April 11, 2025 in Vermont, 15 37 38 56 58 showed up again after days without an appearance in Vermont results. By the expected cadence of 1 in 12,103,014 draws, the interval is a long-gap event.
Winning numbers for 1 draw on April 11, 2025 in Vermont.
Draw times: Evening.
Our take on the Mega Millions results
April 11, 2025Mega Millions report — Friday night, April 11, 2025: 15 37 38 56 58 shows a notable pattern
On Friday night, April 11, 2025 in Vermont, 15 37 38 56 58 showed up again after days without an appearance in Vermont results. By the expected cadence of 1 in 12,103,014 draws, the interval is a long-gap event.
Overview
On Friday night, April 11, 2025 in Vermont, 15 37 38 56 58 showed up again after days without an appearance in Vermont results. By the expected cadence of 1 in 12,103,014 draws, the interval is a long-gap event.
Combo Profile
As a number pattern, 15 37 38 56 58 uses 5 distinct numbers and a wide spread from 15 to 58.
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
This analysis uses the draw results recorded for Friday night, April 11, 2025 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
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
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. 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.