Pick 5 Results
On Sunday midday, March 1, 2026, the Pick 5 draw in Maryland produced a notable return: 42893 after days of absence. Against an expected cadence of 1 in 100,000 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Winning numbers for 2 draws on March 1, 2026 in Maryland.
Draw times: Midday, Evening.
Our take on the Pick 5 results
March 1, 2026Pick 5 report — Sunday midday, March 1, 2026: 42893 shows a notable pattern
On Sunday midday, March 1, 2026, the Pick 5 draw in Maryland produced a notable return: 42893 after days of absence. Against an expected cadence of 1 in 100,000 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Overview
On Sunday midday, March 1, 2026, the Pick 5 draw in Maryland produced a notable return: 42893 after days of absence. Against an expected cadence of 1 in 100,000 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
A Subtle Pattern in the Digits
A subtle pattern accompanied the return: the digit 4 appeared in 42893 earlier in the day and resurfaced in 49167 later, creating a quiet echo across the two draws. These repetitions do not predict future outcomes, but they illustrate how overlaps show up in short windows.
Combo Profile
In structural terms, this draw has 5 distinct digits with no repeats in the pattern. Its range is 2 to 9 with a wide spread.
Why Droughts Matter
Extended absences remain descriptive, not predictive - they show where spacing departs from typical cadence. They help quantify how often outcomes move into the tails.
Data Notes
Worth noting: this report documents outcomes logged on Sunday midday, March 1, 2026 and compares them to historical cadence. The intent is documentation, not forecasting.
From Stepzero
The core idea: this series is designed to keep a calm, evidence-first record for analysts and long-run tracking. It is meant to inform, not 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.
Adding to the Long-Term Record
With its return, 42893 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.