Match 6 Results
On Friday night, April 24, 2026, the Match 6 draw in Pennsylvania brought 03 05 21 29 39 40 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 April 24, 2026 in Pennsylvania.
Draw times: Evening.
Our take on the Match 6 results
April 24, 2026Match 6 report — Friday night, April 24, 2026: 03 05 21 29 39 40 shows a notable pattern
On Friday night, April 24, 2026, the Match 6 draw in Pennsylvania brought 03 05 21 29 39 40 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 Friday night, April 24, 2026, the Match 6 draw in Pennsylvania brought 03 05 21 29 39 40 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
From a number-profile view, this result holds 6 distinct numbers with no repeats in the pattern. The spread runs 3 to 40 (wide).
Why Droughts Matter
Extended absences are best read as context, not predictive - they mark how variance accumulates over long samples. They help quantify how often outcomes move into the tails.
Data Notes
This analysis uses the draw results recorded for Friday night, April 24, 2026 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
Stepzero produces these reports to provide a calm, evidence-first record of how draw patterns unfold over time. The aim is clarity and continuity - a reference point for long-horizon tracking rather than a call to action.
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. 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
Across the long-horizon record, this appearance adds a new point to the dataset to the cumulative record. The accumulation, not any single draw, builds reliability.