Pick 3 Results
On Wednesday midday, May 13, 2026, the Pick 3 draw in Ohio brought 814 back after 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 13, 2026 in Ohio.
Draw times: D, Evening.
Our take on the Pick 3 results
May 13, 2026Pick 3 report — Wednesday midday, May 13, 2026: 814 shows a notable pattern
On Wednesday midday, May 13, 2026, the Pick 3 draw in Ohio brought 814 back after 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 Wednesday midday, May 13, 2026, the Pick 3 draw in Ohio brought 814 back after 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.
Combo Profile
As a digit pattern, 814 uses 3 distinct digits and a wide spread from 1 to 8.
Why Droughts Matter
Large gaps remain descriptive, not directional - they highlight the tail behavior of the system. They make variance visible across extended windows.
Data Notes
This report summarizes observed outcomes for Wednesday midday, May 13, 2026 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
Importantly: this series is designed to preserve a stable long-horizon record as a stable reference point. The intent is clarity, not prediction.
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.
Record-keeping at scale becomes the foundation for analysis. Each outcome, whether typical or unusual, contributes to the stability and clarity of the long-run picture.
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
Over the long run, this return adds a new point to the dataset by one more data point. Reliability is a function of the growing record.