Match 6 Results
On Wednesday night, May 20, 2026 in Pennsylvania, 01 13 23 28 29 45 showed up again following a -day absence in Pennsylvania results. The gap is large relative to 1 in 13,983,816 draws, placing it deep in the tail.
Winning numbers for 1 draw on May 20, 2026 in Pennsylvania.
Draw times: Evening.
Our take on the Match 6 results
May 20, 2026Match 6 report — Wednesday night, May 20, 2026: 01 13 23 28 29 45 shows a notable pattern
On Wednesday night, May 20, 2026 in Pennsylvania, 01 13 23 28 29 45 showed up again following a -day absence in Pennsylvania results. The gap is large relative to 1 in 13,983,816 draws, placing it deep in the tail.
Overview
On Wednesday night, May 20, 2026 in Pennsylvania, 01 13 23 28 29 45 showed up again following a -day absence in Pennsylvania results. The gap is large relative to 1 in 13,983,816 draws, placing it deep in the tail.
Combo Profile
The numbers in 01 13 23 28 29 45 cover a wide range (1 to 45) with no repeats.
Why Droughts Matter
Droughts do not indicate what will happen next - they simply document what has already occurred. Their value lies in measuring distribution over long horizons and identifying when a combination performs far above or below its expected appearance rate.
Data Notes
In detail: this report documents observed outcomes for Wednesday night, May 20, 2026 with benchmarking against long-run cadence. The focus is documentation over prediction.
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. Context improves with scale. As more draws accumulate, isolated anomalies either normalize into baseline rates or reveal persistent deviations that warrant closer monitoring.
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.