Play4 Results
On Wednesday midday, May 13, 2026, the Play4 draw in Connecticut brought 4019 back after 6007 days away. Given an expected cadence of 1 in 10,000 draws, 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 Connecticut.
Draw times: D, N.
Our take on the Play4 results
May 13, 2026Play4 report — Wednesday midday, May 13, 2026: 4019 returns after 6,007 days
On Wednesday midday, May 13, 2026, the Play4 draw in Connecticut brought 4019 back after 6007 days away. Given an expected cadence of 1 in 10,000 draws, 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 Play4 draw in Connecticut brought 4019 back after 6007 days away. Given an expected cadence of 1 in 10,000 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
A Long-Awaited Return
The present log shows 4019 appearing again following 6007 days away with the prior date outside this window. The gap itself is the notable signal here.
A Subtle Pattern in the Digits
There was also a digit echo: 1 appeared across the two results, 4019 and 1899. A single repeat is not a forward signal. Short windows show the clearest clustering signal.
Combo Profile
The digits in 4019 cover a wide range (0 to 9) with no repeats.
Why Droughts Matter
Prolonged absences remain descriptive, not forward-looking - they document what has already happened. They clarify how far outcomes drift from baseline cadence.
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
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 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
Across the long-term record, this result adds a fresh entry to the record by one more data point. The accumulation, not any single draw, builds reliability.