Match 6 Results
On Wednesday night, May 13, 2026, the Match 6 draw in Pennsylvania produced a notable return: 07 12 26 30 33 38 after days of absence. Against an expected cadence of 1 in 13,983,816 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Winning numbers for 1 draw on May 13, 2026 in Pennsylvania.
Draw times: Evening.
Our take on the Match 6 results
May 13, 2026Match 6 report — Wednesday night, May 13, 2026: 07 12 26 30 33 38 shows a notable pattern
On Wednesday night, May 13, 2026, the Match 6 draw in Pennsylvania produced a notable return: 07 12 26 30 33 38 after days of absence. Against an expected cadence of 1 in 13,983,816 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Overview
On Wednesday night, May 13, 2026, the Match 6 draw in Pennsylvania produced a notable return: 07 12 26 30 33 38 after days of absence. Against an expected cadence of 1 in 13,983,816 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Combo Profile
Beyond the drought, the numbers show a clean structure: 6 distinct numbers with no repeats, spanning 7 to 38 (wide spread).
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
To clarify: this report captures the recorded draws for Wednesday night, May 13, 2026 and anchors them against historical cadence. The focus is documentation over 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
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. 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
With its return, 07 12 26 30 33 38 contributes another meaningful data point to the historical dataset. Each draw - whether routine or statistically unusual - refines the long-term view of how large random systems behave over time.