Fantasy 5 Results
On Tuesday night, May 26, 2026, the Fantasy 5 draw in Arizona brought 03 09 13 20 37 back after days away. Given an expected cadence of 1 in 749,398 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 May 26, 2026 in Arizona.
Draw times: Evening.
Our take on the Fantasy 5 results
May 26, 2026Fantasy 5 report — Tuesday night, May 26, 2026: 03 09 13 20 37 shows a notable pattern
On Tuesday night, May 26, 2026, the Fantasy 5 draw in Arizona brought 03 09 13 20 37 back after days away. Given an expected cadence of 1 in 749,398 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Overview
On Tuesday night, May 26, 2026, the Fantasy 5 draw in Arizona brought 03 09 13 20 37 back after days away. Given an expected cadence of 1 in 749,398 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Combo Profile
As a number pattern, 03 09 13 20 37 uses 5 distinct numbers and a wide spread from 3 to 37.
Why Droughts Matter
Deep gaps are best treated as context, not directional - they highlight the tail behavior of the system. Their value is in long-horizon tracking.
Data Notes
This report summarizes observed outcomes for Tuesday night, May 26, 2026 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
Simply put: this series is meant to keep a calm, evidence-first record for analysts and long-run tracking. It is meant to inform, not 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. 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
The return of 03 09 13 20 37 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.