Match 6 Results
On Monday night, July 21, 2025, the Match 6 draw in Pennsylvania marked a notable return: 09 13 19 35 42 45 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 13,983,816 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Winning numbers for 1 draw on July 21, 2025 in Pennsylvania.
Draw times: Evening.
Our take on the Match 6 results
July 21, 2025Match 6 report — Monday night, July 21, 2025: 09 13 19 35 42 45 shows a notable pattern
On Monday night, July 21, 2025, the Match 6 draw in Pennsylvania marked a notable return: 09 13 19 35 42 45 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 13,983,816 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Overview
On Monday night, July 21, 2025, the Match 6 draw in Pennsylvania marked a notable return: 09 13 19 35 42 45 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 13,983,816 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Combo Profile
As a number shape, this draw shows 6 distinct numbers with no repeats in the pattern. Its range is 9 to 45 with a wide spread.
Why Droughts Matter
Prolonged absences are context markers, not a forecast - they highlight the tail behavior of the system. They provide a clean read on long-run variance.
Data Notes
The method: this report records the recorded draws for Monday night, July 21, 2025 with benchmarking against long-run cadence. The intent is documentation, not forecasting.
From Stepzero
The takeaway: this reporting is designed to keep a calm, evidence-first record as a calm, evidence-first reference. The focus is long-horizon context.
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. 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
With its return, 09 13 19 35 42 45 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.