Match 6 Results
On Monday night, November 24, 2025, the Match 6 draw in Pennsylvania produced a notable return: 05 23 25 35 47 49 after days of absence. The length of the gap places this result beyond typical spacing, making it a meaningful entry for long-term distribution tracking.
Winning numbers for 1 draw on November 24, 2025 in Pennsylvania.
Draw times: Evening.
Our take on the Match 6 results
November 24, 2025Match 6 report — Monday night, November 24, 2025: 05 23 25 35 47 49 shows a notable pattern
On Monday night, November 24, 2025, the Match 6 draw in Pennsylvania produced a notable return: 05 23 25 35 47 49 after days of absence. The length of the gap places this result beyond typical spacing, making it a meaningful entry for long-term distribution tracking.
Overview
On Monday night, November 24, 2025, the Match 6 draw in Pennsylvania produced a notable return: 05 23 25 35 47 49 after days of absence. The length of the gap places this result beyond typical spacing, making it a meaningful entry for long-term distribution tracking.
Combo Profile
The numbers in 05 23 25 35 47 49 cover a wide range (5 to 49) with no repeats.
Why Droughts Matter
Long gaps remain descriptive, not directional - they show where spacing departs from typical cadence. They provide a clean read on long-run variance.
Data Notes
In detail: this analysis summarizes observed outcomes for Monday night, November 24, 2025 with reference to historical frequency baselines. The intent is documentation, not forecasting.
From Stepzero
To be clear: this reporting is built to preserve a stable long-horizon record as a record, not a recommendation. The priority is accuracy and continuity.
Additional Context
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.
Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to 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
The return of 05 23 25 35 47 49 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.