Pick 3 Results
On Sunday midday, May 31, 2026, the Pick 3 draw in Maryland brought 415 back after 660 days away. Given an expected cadence of 1 in 1,000 draws (~500 days), this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Winning numbers for 2 draws on May 31, 2026 in Maryland.
Draw times: Evening, Midday.
Our take on the Pick 3 results
May 31, 2026Pick 3 report — Sunday midday, May 31, 2026: 415 returns after 660 days
On Sunday midday, May 31, 2026, the Pick 3 draw in Maryland brought 415 back after 660 days away. Given an expected cadence of 1 in 1,000 draws (~500 days), this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Overview
On Sunday midday, May 31, 2026, the Pick 3 draw in Maryland brought 415 back after 660 days away. Given an expected cadence of 1 in 1,000 draws (~500 days), this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
A Long-Awaited Return
A gap of 660 days places 415 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
From a pattern view, the outcome holds 3 distinct digits with no repeats. The spread runs 1 to 5 (moderate).
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
Results are evaluated against historical frequency baselines where available. The goal is documentation and context rather than prediction.
From Stepzero
Stepzero focuses on documenting distribution behavior over large samples. Each report is a snapshot of observed outcomes, designed to support disciplined, long-term analysis.
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.
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.