Match 6 Results
04 06 18 22 24 36 reappeared in the Match 6 draw on Friday night, May 1, 2026 after days, a long-gap outcome that warrants documentation in the historical record even when cadence benchmarks are unavailable.
Winning numbers for 1 draw on May 1, 2026 in Pennsylvania.
Draw times: Evening.
Our take on the Match 6 results
May 1, 2026Match 6 report — Friday night, May 1, 2026: 04 06 18 22 24 36 shows a notable pattern
04 06 18 22 24 36 reappeared in the Match 6 draw on Friday night, May 1, 2026 after days, a long-gap outcome that warrants documentation in the historical record even when cadence benchmarks are unavailable.
Overview
04 06 18 22 24 36 reappeared in the Match 6 draw on Friday night, May 1, 2026 after days, a long-gap outcome that warrants documentation in the historical record even when cadence benchmarks are unavailable.
Combo Profile
Beyond the drought, the numbers show a clean structure: 6 distinct numbers with no repeats, spanning 4 to 36 (wide spread).
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
This analysis uses the draw results recorded for Friday night, May 1, 2026 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
At Stepzero, the priority is accuracy and context. This report is intended as a historical record entry, not a forecast.
Additional Context
Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to expected ranges.
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 result adds a new point to the dataset to the record. The accumulation, not any single draw, builds reliability.