Fantasy 5 Results
On Monday night, April 6, 2026, for Arizona's Fantasy 5 draw, 6 12 20 26 27 came back after a -day gap in Arizona. The gap is large relative to 1 in 749,398 draws, placing it deep in the tail.
Winning numbers for 1 draw on April 6, 2026 in Arizona.
Draw times: Evening.
Our take on the Fantasy 5 results
April 6, 2026Fantasy 5 report — Monday night, April 6, 2026: 6 12 20 26 27 shows a notable pattern
On Monday night, April 6, 2026, for Arizona's Fantasy 5 draw, 6 12 20 26 27 came back after a -day gap in Arizona. The gap is large relative to 1 in 749,398 draws, placing it deep in the tail.
Overview
On Monday night, April 6, 2026, for Arizona's Fantasy 5 draw, 6 12 20 26 27 came back after a -day gap in Arizona. The gap is large relative to 1 in 749,398 draws, placing it deep in the tail.
Combo Profile
From a number-profile view, the combination uses 5 distinct numbers and no repeats. The spread runs 6 to 27 (wide).
Why Droughts Matter
Droughts do not indicate what will happen next - they simply document what has already occurred. Their value lies in measuring distribution over long horizons and identifying when a combination performs far above or below its expected appearance rate.
Data Notes
This report summarizes observed outcomes for Monday night, April 6, 2026 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
Stepzero focuses on documenting distribution behavior over large samples. Each report is a snapshot of observed outcomes, designed to support disciplined, long-term analysis.
Additional Context
Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to 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.
Context improves with scale. As more draws accumulate, isolated anomalies either normalize into baseline rates or reveal persistent deviations that warrant closer monitoring.
Adding to the Long-Term Record
From a long-horizon view, this result adds another archive entry to the long-run dataset. The accumulation, not any single draw, builds reliability.