Match 6 Results
On Saturday night, December 13, 2025, the Match 6 draw in Pennsylvania brought 01 03 17 24 25 30 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 December 13, 2025 in Pennsylvania.
Draw times: Evening.
Our take on the Match 6 results
December 13, 2025Match 6 report — Saturday night, December 13, 2025: 01 03 17 24 25 30 shows a notable pattern
On Saturday night, December 13, 2025, the Match 6 draw in Pennsylvania brought 01 03 17 24 25 30 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, December 13, 2025, the Match 6 draw in Pennsylvania brought 01 03 17 24 25 30 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 01 03 17 24 25 30 cover a wide range (1 to 30) with no repeats.
Why Droughts Matter
Extended gaps function as context, not predictive - they show how distribution tails behave. They help analysts track drift against expected cadence.
Data Notes
This analysis uses the draw results recorded for Saturday night, December 13, 2025 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
At its core: this reporting is shaped to sustain continuity in the archive as a reference point for continuity. The focus is long-horizon context.
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.
Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges.
Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to expected ranges.
Adding to the Long-Term Record
Across the long-horizon record, this appearance adds another archive entry to the long-horizon record. Stability comes from the growing record, not any one draw.