Powerball Results
On Monday night, October 13, 2025 in New Hampshire, 13 14 32 52 64 reappeared after a -day wait in New Hampshire. Given an expected cadence of 1 in 11,238,513 draws, the interval lands deep in the long-gap tail.
Winning numbers for 1 draw on October 13, 2025 in New Hampshire.
Draw times: Evening.
Our take on the Powerball results
October 13, 2025POWERBALL report — Monday night, October 13, 2025: 13 14 32 52 64 shows a notable pattern
On Monday night, October 13, 2025 in New Hampshire, 13 14 32 52 64 reappeared after a -day wait in New Hampshire. Given an expected cadence of 1 in 11,238,513 draws, the interval lands deep in the long-gap tail.
Overview
On Monday night, October 13, 2025 in New Hampshire, 13 14 32 52 64 reappeared after a -day wait in New Hampshire. Given an expected cadence of 1 in 11,238,513 draws, the interval lands deep in the long-gap tail.
Combo Profile
Structurally, the combination uses 5 distinct numbers with no repeats in the pattern. The spread runs 13 to 64 (wide).
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 Monday night, October 13, 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
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.
Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges.
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
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.