Match 6 Results
On Friday night, June 5, 2026, the Match 6 draw in Pennsylvania marked a notable return: 09 22 28 36 41 49 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 June 5, 2026 in Pennsylvania.
Draw times: Evening.
Our take on the Match 6 results
June 5, 2026Match 6 report — Friday night, June 5, 2026: 09 22 28 36 41 49 shows a notable pattern
On Friday night, June 5, 2026, the Match 6 draw in Pennsylvania marked a notable return: 09 22 28 36 41 49 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 Friday night, June 5, 2026, the Match 6 draw in Pennsylvania marked a notable return: 09 22 28 36 41 49 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 pattern, 09 22 28 36 41 49 uses 6 distinct numbers and a wide spread from 9 to 49.
Why Droughts Matter
Long gaps are context, not directional - they show where spacing departs from typical cadence. They make variance visible across extended windows.
Data Notes
This analysis uses the draw results recorded for Friday night, June 5, 2026 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
The core idea: this series is designed to keep a calm, evidence-first record as a reference point for continuity. The aim is context, not a call to action.
Additional Context
Context improves with scale. As more draws accumulate, isolated anomalies either normalize into baseline rates or reveal persistent deviations that warrant closer monitoring. 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.
Adding to the Long-Term Record
In long-horizon tracking, this result adds a new point to the dataset to the historical dataset. Long-horizon stability comes from accumulation.