Match 6 Results
On Saturday night, January 17, 2026, the Match 6 draw in Pennsylvania brought 24 26 30 40 42 47 back after days away. Given an expected cadence of 1 in 13,983,816 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Winning numbers for 1 draw on January 17, 2026 in Pennsylvania.
Draw times: Evening.
Our take on the Match 6 results
January 17, 2026Match 6 report — Saturday night, January 17, 2026: 24 26 30 40 42 47 shows a notable pattern
On Saturday night, January 17, 2026, the Match 6 draw in Pennsylvania brought 24 26 30 40 42 47 back after days away. Given an expected cadence of 1 in 13,983,816 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Overview
On Saturday night, January 17, 2026, the Match 6 draw in Pennsylvania brought 24 26 30 40 42 47 back after days away. Given an expected cadence of 1 in 13,983,816 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Combo Profile
The numbers in 24 26 30 40 42 47 cover a wide range (24 to 47) with no repeats.
Why Droughts Matter
Deep gaps are best read as context, not predictive - they highlight the tail behavior of the system. They make variance visible across extended windows.
Data Notes
This analysis uses the draw results recorded for Saturday night, January 17, 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
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. 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 24 26 30 40 42 47 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.