Match 6 Results
On Tuesday night, December 30, 2025, the Match 6 draw in Pennsylvania marked a notable return: 03 13 16 31 37 48 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 December 30, 2025 in Pennsylvania.
Draw times: Evening.
Our take on the Match 6 results
December 30, 2025Match 6 report — Tuesday night, December 30, 2025: 03 13 16 31 37 48 shows a notable pattern
On Tuesday night, December 30, 2025, the Match 6 draw in Pennsylvania marked a notable return: 03 13 16 31 37 48 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 Tuesday night, December 30, 2025, the Match 6 draw in Pennsylvania marked a notable return: 03 13 16 31 37 48 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
The numbers in 03 13 16 31 37 48 cover a wide range (3 to 48) with no repeats.
Why Droughts Matter
Extended gaps remain descriptive, not a cue - they mark how variance accumulates over long samples. They clarify how far outcomes drift from baseline cadence.
Data Notes
Specifically: this report documents results recorded for Tuesday night, December 30, 2025 with reference to historical frequency baselines. It is context-focused, not predictive.
From Stepzero
Simply put: this reporting is built to keep the record consistent over time as context for disciplined analysis. The intent is clarity, not prediction.
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. Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges.
Adding to the Long-Term Record
The return of 03 13 16 31 37 48 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.