Pick 5 Results
On Sunday midday, November 23, 2025 in Ohio, 14702 reappeared after a -day gap in Ohio. Relative to 1 in 100,000 draws, the gap reads as a long-horizon outlier.
Winning numbers for 2 draws on November 23, 2025 in Ohio.
Draw times: D, Evening.
Our take on the Pick 5 results
November 23, 2025Pick 5 report — Sunday midday, November 23, 2025: 14702 shows a notable pattern
On Sunday midday, November 23, 2025 in Ohio, 14702 reappeared after a -day gap in Ohio. Relative to 1 in 100,000 draws, the gap reads as a long-horizon outlier.
Overview
On Sunday midday, November 23, 2025 in Ohio, 14702 reappeared after a -day gap in Ohio. Relative to 1 in 100,000 draws, the gap reads as a long-horizon outlier.
A Subtle Pattern in the Digits
digit overlap added context: 2 came back across both daily results: 14702 and 73825. One repeat is not a signal on its own. The value is in tracking repetition frequency over time.
Combo Profile
As a digit pattern, 14702 uses 5 distinct digits and a wide spread from 0 to 7.
Why Droughts Matter
Extended gaps are descriptive, not a forecast - they mark how variance accumulates over long samples. Their value is in long-horizon tracking.
Data Notes
Worth noting: this analysis summarizes the recorded draws for Sunday midday, November 23, 2025 and benchmarks them against historical frequency baselines. It is context-focused, not predictive.
From Stepzero
The core idea: this reporting is designed to document distribution behavior over time as a stable reference point. The intent is clarity, not prediction.
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. 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.
Adding to the Long-Term Record
The return of 14702 expands the archive by one more data point. It is the accumulation of these entries, not a single draw, that defines the reliability of long-horizon analysis.