Pick 4 Results
On Monday midday, April 13, 2026, the Pick 4 draw in Maryland produced a notable return: 2002 after days of absence. Against an expected cadence of 1 in 10,000 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Winning numbers for 2 draws on April 13, 2026 in Maryland.
Draw times: Evening, Midday.
Our take on the Pick 4 results
April 13, 2026Pick 4 report — Monday midday, April 13, 2026: 2002 shows a notable pattern
On Monday midday, April 13, 2026, the Pick 4 draw in Maryland produced a notable return: 2002 after days of absence. Against an expected cadence of 1 in 10,000 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Overview
On Monday midday, April 13, 2026, the Pick 4 draw in Maryland produced a notable return: 2002 after days of absence. Against an expected cadence of 1 in 10,000 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Combo Profile
From a digit-profile view, this result settles on 2 distinct digits with a repeated digit in the pattern. Its range is 0 to 2 with a tight 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
The method: this report documents outcomes logged on Monday midday, April 13, 2026 and benchmarks them against historical frequency baselines. This is documentation, not a forecast.
From Stepzero
At Stepzero, the priority is accuracy and context. This report is intended as a historical record entry, not a forecast.
Additional Context
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
Across the long-term record, this appearance adds one more entry to the long-horizon record. It is the cumulative record that makes analysis stable.