Mega Millions Results
On Tuesday night, February 18, 2025, for Vermont's Mega Millions draw, 01 20 25 58 61 came back after a -day drought in the Vermont record. The gap is large relative to 1 in 12,103,014 draws, placing it deep in the tail.
Winning numbers for 1 draw on February 18, 2025 in Vermont.
Draw times: Evening.
Our take on the Mega Millions results
February 18, 2025Mega Millions report — Tuesday night, February 18, 2025: 01 20 25 58 61 shows a notable pattern
On Tuesday night, February 18, 2025, for Vermont's Mega Millions draw, 01 20 25 58 61 came back after a -day drought in the Vermont record. The gap is large relative to 1 in 12,103,014 draws, placing it deep in the tail.
Overview
On Tuesday night, February 18, 2025, for Vermont's Mega Millions draw, 01 20 25 58 61 came back after a -day drought in the Vermont record. The gap is large relative to 1 in 12,103,014 draws, placing it deep in the tail.
Combo Profile
From a pattern view, the pattern shows 5 distinct numbers with no repeats in the pattern. The range from 1 to 61 is a wide spread.
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 Tuesday night, February 18, 2025 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
At its core: this reporting is designed to keep a calm, evidence-first record as a reliable record for analysts. It is meant to inform, not forecast.
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. 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.
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.