Cash 25 Results
On Thursday night, November 13, 2025, 01 03 04 11 14 15 returned after a -day wait in West Virginia. With an expected cadence of 1 in 177,100 draws, the gap sits well beyond typical spacing.
Winning numbers for 1 draw on November 13, 2025 in West Virginia.
Draw times: Evening.
Our take on the Cash 25 results
November 13, 2025Cash 25 report — Thursday night, November 13, 2025: 01 03 04 11 14 15 shows a notable pattern
On Thursday night, November 13, 2025, 01 03 04 11 14 15 returned after a -day wait in West Virginia. With an expected cadence of 1 in 177,100 draws, the gap sits well beyond typical spacing.
Overview
On Thursday night, November 13, 2025, 01 03 04 11 14 15 returned after a -day wait in West Virginia. With an expected cadence of 1 in 177,100 draws, the gap sits well beyond typical spacing.
Combo Profile
As a number pattern, 01 03 04 11 14 15 uses 6 distinct numbers and a wide spread from 1 to 15.
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 Thursday night, November 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
Importantly: these reports are intended to keep a calm, evidence-first record as a reference point for continuity. The priority is accuracy and continuity.
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.
Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to 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.