Match 6 Results
On Monday night, November 17, 2025, the Match 6 draw in Pennsylvania marked a notable return: 01 03 29 31 46 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 November 17, 2025 in Pennsylvania.
Draw times: Evening.
Our take on the Match 6 results
November 17, 2025Match 6 report — Monday night, November 17, 2025: 01 03 29 31 46 49 shows a notable pattern
On Monday night, November 17, 2025, the Match 6 draw in Pennsylvania marked a notable return: 01 03 29 31 46 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 Monday night, November 17, 2025, the Match 6 draw in Pennsylvania marked a notable return: 01 03 29 31 46 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
Beyond the drought, the numbers show a clean structure: 6 distinct numbers with no repeats, spanning 1 to 49 (wide spread).
Why Droughts Matter
A long drought is descriptive rather than predictive. It records variance across time and helps analysts evaluate whether outcomes are tracking within expected frequency bands or drifting into the tails of the distribution.
Data Notes
This report summarizes observed outcomes for Monday night, November 17, 2025 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
Importantly: these reports are built to keep the record consistent over time as a stable reference point. The aim is a trustworthy record.
Additional Context
Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges. 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.
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.