Pick 5 Results
In the Pick 5 draw on Wednesday midday, May 20, 2026, 93316 showed up after days without an appearance in Maryland. The gap is large relative to 1 in 100,000 draws, placing it deep in the tail.
Winning numbers for 2 draws on May 20, 2026 in Maryland.
Draw times: Evening, Midday.
Our take on the Pick 5 results
May 20, 2026Pick 5 report — Wednesday midday, May 20, 2026: 93316 shows a notable pattern
In the Pick 5 draw on Wednesday midday, May 20, 2026, 93316 showed up after days without an appearance in Maryland. The gap is large relative to 1 in 100,000 draws, placing it deep in the tail.
Overview
In the Pick 5 draw on Wednesday midday, May 20, 2026, 93316 showed up after days without an appearance in Maryland. The gap is large relative to 1 in 100,000 draws, placing it deep in the tail.
A Subtle Pattern in the Digits
Another layer of context comes from digit overlap: 6 showed up in 93316 and reappeared in 47468. While a single repeat is not a signal, repeated overlaps across days can reveal short-term clustering behavior.
Combo Profile
As a digit pattern, 93316 uses 4 distinct digits and a wide spread from 1 to 9.
Why Droughts Matter
Droughts do not indicate what will happen next - they simply document what has already occurred. Their value lies in measuring distribution over long horizons and identifying when a combination performs far above or below its expected appearance rate.
Data Notes
This report summarizes observed outcomes for Wednesday midday, May 20, 2026 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
At Stepzero, the priority is accuracy and context. This report is intended as a historical record entry, not a forecast.
Additional Context
Stability comes from the accumulation of entries. One draw alone does not define the pattern, but the record grows more reliable with each addition to the dataset.
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.