Fantasy 5 Results
On Wednesday night, May 6, 2026, the Fantasy 5 draw in Georgia produced a notable return: 07 09 10 20 21 after days of absence. Against an expected cadence of 1 in 850,668 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Winning numbers for 1 draw on May 6, 2026 in Georgia.
Draw times: N.
Our take on the Fantasy 5 results
May 6, 2026Fantasy 5 report — Wednesday night, May 6, 2026: 07 09 10 20 21 shows a notable pattern
On Wednesday night, May 6, 2026, the Fantasy 5 draw in Georgia produced a notable return: 07 09 10 20 21 after days of absence. Against an expected cadence of 1 in 850,668 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Overview
On Wednesday night, May 6, 2026, the Fantasy 5 draw in Georgia produced a notable return: 07 09 10 20 21 after days of absence. Against an expected cadence of 1 in 850,668 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Combo Profile
In terms of number structure, 07 09 10 20 21 lands on 5 distinct numbers with no repeats present. The numbers cover 7 to 21 with a wide range.
Why Droughts Matter
A long drought is descriptive rather than predictive. It records variance across time and helps analysts evaluate whether outcomes are tracking within expected frequency bands or drifting into the tails of the distribution.
Data Notes
This analysis uses the draw results recorded for Wednesday night, May 6, 2026 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
In summary: this series is designed to preserve a stable long-horizon record as a calm, evidence-first reference. The intent is clarity, not prediction.
Additional Context
Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their 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
The return of 07 09 10 20 21 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.