Pick 5 Results
On Monday midday, April 20, 2026, the Pick 5 draw in Ohio marked a notable return: 21747 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 100,000 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Winning numbers for 2 draws on April 20, 2026 in Ohio.
Draw times: D, Evening.
Our take on the Pick 5 results
April 20, 2026Pick 5 report — Monday midday, April 20, 2026: 21747 shows a notable pattern
On Monday midday, April 20, 2026, the Pick 5 draw in Ohio marked a notable return: 21747 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 100,000 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Overview
On Monday midday, April 20, 2026, the Pick 5 draw in Ohio marked a notable return: 21747 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 100,000 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
A Subtle Pattern in the Digits
Another layer of context comes from digit overlap: 1 showed up in 21747 and reappeared in 71700. While a single repeat is not a signal, repeated overlaps across days can reveal short-term clustering behavior.
Combo Profile
The digits in 21747 cover a wide range (1 to 7) with a repeated digit.
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 Monday midday, April 20, 2026 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
At Stepzero, the priority is accuracy and context. This report is intended as a historical record entry, not a forecast.
Additional Context
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
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.