Match 6 Results
On Monday night, April 20, 2026, 04 06 07 15 23 49 showed up again after days away in Pennsylvania. With an expected cadence of 1 in 13,983,816 draws, the gap sits well beyond typical spacing.
Winning numbers for 1 draw on April 20, 2026 in Pennsylvania.
Draw times: Evening.
Our take on the Match 6 results
April 20, 2026Match 6 report — Monday night, April 20, 2026: 04 06 07 15 23 49 shows a notable pattern
On Monday night, April 20, 2026, 04 06 07 15 23 49 showed up again after days away in Pennsylvania. With an expected cadence of 1 in 13,983,816 draws, the gap sits well beyond typical spacing.
Overview
On Monday night, April 20, 2026, 04 06 07 15 23 49 showed up again after days away in Pennsylvania. With an expected cadence of 1 in 13,983,816 draws, the gap sits well beyond typical spacing.
Combo Profile
As a number pattern, 04 06 07 15 23 49 uses 6 distinct numbers and a wide spread from 4 to 49.
Why Droughts Matter
Long gaps function as context, not a forecast - they document what has already happened. They offer context for distribution stability over time.
Data Notes
As documented: this report captures the results logged for Monday night, April 20, 2026 and compares them to historical cadence. It is context-focused, not predictive.
From Stepzero
Importantly: this series is meant to sustain continuity in the archive as a reference point for continuity. The aim is context, not a call to action.
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.
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 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.
Adding to the Long-Term Record
With its return, 04 06 07 15 23 49 contributes another meaningful data point to the historical dataset. Each draw - whether routine or statistically unusual - refines the long-term view of how large random systems behave over time.