Mega Millions Results
On Tuesday night, September 2, 2025, for New Hampshire's MEGA_MILLIONS draw, 07 17 35 40 64 reappeared after a -day gap in New Hampshire. By the expected cadence of 1 in 12,103,014 draws, the interval is a long-gap event.
Winning numbers for 1 draw on September 2, 2025 in New Hampshire.
Draw times: Evening.
Our take on the Mega Millions results
September 2, 2025MEGA_MILLIONS report — Tuesday night, September 2, 2025: 07 17 35 40 64 shows a notable pattern
On Tuesday night, September 2, 2025, for New Hampshire's MEGA_MILLIONS draw, 07 17 35 40 64 reappeared after a -day gap in New Hampshire. By the expected cadence of 1 in 12,103,014 draws, the interval is a long-gap event.
Overview
On Tuesday night, September 2, 2025, for New Hampshire's MEGA_MILLIONS draw, 07 17 35 40 64 reappeared after a -day gap in New Hampshire. By the expected cadence of 1 in 12,103,014 draws, the interval is a long-gap event.
Combo Profile
Beyond the drought, the numbers show a clean structure: 5 distinct numbers with no repeats, spanning 7 to 64 (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, September 2, 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 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
Context improves with scale. As more draws accumulate, isolated anomalies either normalize into baseline rates or reveal persistent deviations that warrant closer monitoring. 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
The return of 07 17 35 40 64 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.