Match 6 Results
On Thursday night, January 15, 2026, the Match 6 draw in Pennsylvania marked a notable return: 07 17 19 20 26 41 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 January 15, 2026 in Pennsylvania.
Draw times: Evening.
Our take on the Match 6 results
January 15, 2026Match 6 report — Thursday night, January 15, 2026: 07 17 19 20 26 41 shows a notable pattern
On Thursday night, January 15, 2026, the Match 6 draw in Pennsylvania marked a notable return: 07 17 19 20 26 41 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 Thursday night, January 15, 2026, the Match 6 draw in Pennsylvania marked a notable return: 07 17 19 20 26 41 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 7 to 41 (wide spread).
Why Droughts Matter
Long droughts are best read as context, not forward-looking - they show where spacing departs from typical cadence. They help quantify how often outcomes move into the tails.
Data Notes
This report summarizes observed outcomes for Thursday night, January 15, 2026 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
Simply put: this series is meant to preserve a stable long-horizon 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. 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
The return of 07 17 19 20 26 41 expands the archive by one more data point. It is the accumulation of these entries, not a single draw, that defines the reliability of long-horizon analysis.