Cash 25 Results
On Tuesday night, January 13, 2026, the Cash 25 draw in West Virginia produced a notable return: 05 10 15 17 21 25 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 13, 2026 in West Virginia.
Draw times: Evening.
Our take on the Cash 25 results
January 13, 2026Cash 25 report — Tuesday night, January 13, 2026: 05 10 15 17 21 25 shows a notable pattern
On Tuesday night, January 13, 2026, the Cash 25 draw in West Virginia produced a notable return: 05 10 15 17 21 25 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 Tuesday night, January 13, 2026, the Cash 25 draw in West Virginia produced a notable return: 05 10 15 17 21 25 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
As a number shape, 05 10 15 17 21 25 lands on 6 distinct numbers with no repeats in the numbers. Its range is 5 to 25 with a wide spread.
Why Droughts Matter
A long drought is descriptive rather than predictive. It records variance across time and helps analysts evaluate whether outcomes are tracking within expected frequency bands or drifting into the tails of the distribution.
Data Notes
In detail: this analysis records the recorded draws for Tuesday night, January 13, 2026 with reference to historical frequency baselines. It is intended for context, not forecasting.
From Stepzero
Stepzero produces these reports to provide a calm, evidence-first record of how draw patterns unfold over time. The aim is clarity and continuity - a reference point for long-horizon tracking rather than a call to action.
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, 05 10 15 17 21 25 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.