Powerball Results
On Monday night, January 13, 2025, the Powerball draw in Maryland produced a notable return: 04 06 16 39 66 after days of absence. Against an expected cadence of 1 in 11,238,513 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, 2025 in Maryland.
Draw times: Evening.
Our take on the Powerball results
January 13, 2025Powerball report — Monday night, January 13, 2025: 04 06 16 39 66 shows a notable pattern
On Monday night, January 13, 2025, the Powerball draw in Maryland produced a notable return: 04 06 16 39 66 after days of absence. Against an expected cadence of 1 in 11,238,513 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Overview
On Monday night, January 13, 2025, the Powerball draw in Maryland produced a notable return: 04 06 16 39 66 after days of absence. Against an expected cadence of 1 in 11,238,513 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Combo Profile
The numbers in 04 06 16 39 66 cover a wide range (4 to 66) with no repeats.
Why Droughts Matter
Large gaps remain descriptive, not predictive - they record variance across time. They help analysts track drift against expected cadence.
Data Notes
This report summarizes observed outcomes for Monday night, January 13, 2025 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
The takeaway: these reports are intended to keep the long-horizon record steady as a reliable record for analysts. The aim is context, not a call to action.
Additional Context
Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their 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 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
The return of 04 06 16 39 66 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.