Pick 4 Results
On Sunday night, March 29, 2026, the Pick 4 draw in Maryland produced a notable return: 3962 after 11279 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 March 29, 2026 in Maryland.
Draw times: Evening, Midday.
Our take on the Pick 4 results
March 29, 2026Pick 4 report — Sunday night, March 29, 2026: 3962 returns after 11,279 days
On Sunday night, March 29, 2026, the Pick 4 draw in Maryland produced a notable return: 3962 after 11279 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 Sunday night, March 29, 2026, the Pick 4 draw in Maryland produced a notable return: 3962 after 11279 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.
A Long-Awaited Return
A gap of 11279 days places 3962 in the low-frequency tail of the distribution. The exact prior appearance date is not available in this view, but the duration alone signals an extended absence.
Combo Profile
As a digit pattern, 3962 uses 4 distinct digits and a wide spread from 2 to 9.
Why Droughts Matter
Extended absences like this provide context, not direction. They show how randomness behaves across large samples and help analysts quantify how often the system deviates from its baseline cadence.
Data Notes
This analysis uses the draw results recorded for Sunday night, March 29, 2026 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
To be clear: this series is meant to document distribution behavior over time as a calm, evidence-first reference. The priority is accuracy and continuity.
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.
Adding to the Long-Term Record
This result adds a measurable entry to the long-term record. Over time, those entries are what sharpen distribution analysis and reveal whether the system is tracking its expected cadence.