Cash 25 Results
On Monday night, February 2, 2026, the Cash 25 draw in West Virginia produced a notable return: 04 06 08 10 15 22 after days of absence. Against an expected cadence of 1 in 177,100 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Winning numbers for 1 draw on February 2, 2026 in West Virginia.
Draw times: Evening.
Our take on the Cash 25 results
February 2, 2026Cash 25 report — Monday night, February 2, 2026: 04 06 08 10 15 22 shows a notable pattern
On Monday night, February 2, 2026, the Cash 25 draw in West Virginia produced a notable return: 04 06 08 10 15 22 after days of absence. Against an expected cadence of 1 in 177,100 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Overview
On Monday night, February 2, 2026, the Cash 25 draw in West Virginia produced a notable return: 04 06 08 10 15 22 after days of absence. Against an expected cadence of 1 in 177,100 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Combo Profile
The numbers in 04 06 08 10 15 22 cover a wide range (4 to 22) with no repeats.
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
Worth noting: this report documents the results logged for Monday night, February 2, 2026 and evaluates them against long-run frequency baselines. The intent is documentation, not forecasting.
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
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.
Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their 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.