Fantasy 5 Results
On Monday night, April 13, 2026, the Fantasy 5 draw in Michigan marked a notable return: 06 07 09 11 25 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 575,757 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Winning numbers for 1 draw on April 13, 2026 in Michigan.
Draw times: Evening.
Our take on the Fantasy 5 results
April 13, 2026Fantasy 5 report — Monday night, April 13, 2026: 06 07 09 11 25 shows a notable pattern
On Monday night, April 13, 2026, the Fantasy 5 draw in Michigan marked a notable return: 06 07 09 11 25 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 575,757 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Overview
On Monday night, April 13, 2026, the Fantasy 5 draw in Michigan marked a notable return: 06 07 09 11 25 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 575,757 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Combo Profile
As a number pattern, 06 07 09 11 25 uses 5 distinct numbers and a wide spread from 6 to 25.
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
To clarify: this analysis records outcomes documented for Monday night, April 13, 2026 with comparison to long-run frequency baselines. It is intended for context, not forecasting.
From Stepzero
Simply put: these reports are built to keep the long-horizon record steady as context for disciplined analysis. The aim is context, not a call to action.
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. 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.
Adding to the Long-Term Record
In the broader record, this appearance adds a fresh entry to the record to the record. It is the cumulative record that makes analysis stable.