Match 6 Results
On Tuesday night, May 26, 2026, during the Match 6 draw in Pennsylvania, 02 12 17 34 36 40 showed up after days out of the results in the Pennsylvania record. With an expected cadence of 1 in 13,983,816 draws, the gap sits well beyond typical spacing.
Winning numbers for 1 draw on May 26, 2026 in Pennsylvania.
Draw times: Evening.
Our take on the Match 6 results
May 26, 2026Match 6 report — Tuesday night, May 26, 2026: 02 12 17 34 36 40 shows a notable pattern
On Tuesday night, May 26, 2026, during the Match 6 draw in Pennsylvania, 02 12 17 34 36 40 showed up after days out of the results in the Pennsylvania record. With an expected cadence of 1 in 13,983,816 draws, the gap sits well beyond typical spacing.
Overview
On Tuesday night, May 26, 2026, during the Match 6 draw in Pennsylvania, 02 12 17 34 36 40 showed up after days out of the results in the Pennsylvania record. With an expected cadence of 1 in 13,983,816 draws, the gap sits well beyond typical spacing.
Combo Profile
Beyond the drought, the numbers show a clean structure: 6 distinct numbers with no repeats, spanning 2 to 40 (wide spread).
Why Droughts Matter
Deep gaps remain descriptive, not directional - they mark how variance accumulates over long samples. They make variance visible across extended windows.
Data Notes
The approach: this report summarizes outcomes logged on Tuesday night, May 26, 2026 and compares them to historical cadence. The goal is context, not prediction.
From Stepzero
In summary: this series is meant to preserve a stable long-horizon record for analysts and long-run tracking. The intent is clarity, not prediction.
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.
Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to expected ranges.
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
Across the long-horizon record, this return adds one more entry to the long-horizon record. The record gains clarity as entries accumulate.