Fantasy 5 Results
On Saturday night, April 4, 2026, in the Georgia Fantasy 5 draw, 01 22 26 27 42 came back after days out of the results in the Georgia record. By the expected cadence of 1 in 850,668 draws, the interval is a long-gap event.
Winning numbers for 1 draw on April 4, 2026 in Georgia.
Draw times: N.
Our take on the Fantasy 5 results
April 4, 2026Fantasy 5 report — Saturday night, April 4, 2026: 01 22 26 27 42 shows a notable pattern
On Saturday night, April 4, 2026, in the Georgia Fantasy 5 draw, 01 22 26 27 42 came back after days out of the results in the Georgia record. By the expected cadence of 1 in 850,668 draws, the interval is a long-gap event.
Overview
On Saturday night, April 4, 2026, in the Georgia Fantasy 5 draw, 01 22 26 27 42 came back after days out of the results in the Georgia record. By the expected cadence of 1 in 850,668 draws, the interval is a long-gap event.
Combo Profile
As a number pattern, 01 22 26 27 42 uses 5 distinct numbers and a wide spread from 1 to 42.
Why Droughts Matter
Extended gaps are best read as context, not directional - they mark how variance accumulates over long samples. They offer context for distribution stability over time.
Data Notes
The approach: this analysis records results recorded for Saturday night, April 4, 2026 with benchmarking against long-run cadence. The focus is documentation over prediction.
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
Record-keeping at scale becomes the foundation for analysis. Each outcome, whether typical or unusual, contributes to the stability and clarity of the long-run picture.
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 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
This result adds a measurable entry to the long-term record. Over time, those entries are what sharpen distribution analysis and reveal whether the system is tracking its expected cadence.