Fantasy 5 Results
On Saturday night, April 4, 2026, 1 4 13 15 17 landed again after a -day wait 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 4, 2026 in Arizona.
Draw times: Evening.
Our take on the Fantasy 5 results
April 4, 2026Fantasy 5 report — Saturday night, April 4, 2026: 1 4 13 15 17 shows a notable pattern
On Saturday night, April 4, 2026, 1 4 13 15 17 landed again after a -day wait in Arizona. The gap is large relative to 1 in 749,398 draws, placing it deep in the tail.
Overview
On Saturday night, April 4, 2026, 1 4 13 15 17 landed again after a -day wait in Arizona. The gap is large relative to 1 in 749,398 draws, placing it deep in the tail.
Combo Profile
The numbers in 1 4 13 15 17 cover a wide range (1 to 17) with no repeats.
Why Droughts Matter
Extended absences like this provide context, not direction. They show how randomness behaves across large samples and help analysts quantify how often the system deviates from its baseline cadence.
Data Notes
This report summarizes observed outcomes for Saturday night, April 4, 2026 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
At Stepzero, the priority is accuracy and context. This report is intended as a historical record entry, not a forecast.
Additional Context
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.
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.
Adding to the Long-Term Record
The return of 1 4 13 15 17 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.