Cash 25 Results
On Monday night, January 12, 2026, the Cash 25 draw in West Virginia produced a notable return: 01 03 10 14 15 24 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 January 12, 2026 in West Virginia.
Draw times: Evening.
Our take on the Cash 25 results
January 12, 2026Cash 25 report — Monday night, January 12, 2026: 01 03 10 14 15 24 shows a notable pattern
On Monday night, January 12, 2026, the Cash 25 draw in West Virginia produced a notable return: 01 03 10 14 15 24 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, January 12, 2026, the Cash 25 draw in West Virginia produced a notable return: 01 03 10 14 15 24 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 01 03 10 14 15 24 cover a wide range (1 to 24) with no repeats.
Why Droughts Matter
Droughts do not indicate what will happen next - they simply document what has already occurred. Their value lies in measuring distribution over long horizons and identifying when a combination performs far above or below its expected appearance rate.
Data Notes
This analysis uses the draw results recorded for Monday night, January 12, 2026 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
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
With its return, 01 03 10 14 15 24 contributes another meaningful data point to the historical dataset. Each draw - whether routine or statistically unusual - refines the long-term view of how large random systems behave over time.