Fantasy 5 Results
On Thursday night, May 21, 2026, the Fantasy 5 draw in Michigan marked a notable return: 13 22 24 29 36 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 May 21, 2026 in Michigan.
Draw times: Evening.
Our take on the Fantasy 5 results
May 21, 2026Fantasy 5 report — Thursday night, May 21, 2026: 13 22 24 29 36 shows a notable pattern
On Thursday night, May 21, 2026, the Fantasy 5 draw in Michigan marked a notable return: 13 22 24 29 36 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 Thursday night, May 21, 2026, the Fantasy 5 draw in Michigan marked a notable return: 13 22 24 29 36 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, 13 22 24 29 36 uses 5 distinct numbers and a wide spread from 13 to 36.
Why Droughts Matter
Prolonged absences are context, not predictive - they track where outcomes drift from baseline spacing. They clarify how far outcomes drift from baseline cadence.
Data Notes
Results are evaluated against historical frequency baselines where available. The goal is documentation and context rather than prediction.
From Stepzero
At Stepzero, the priority is accuracy and context. This report is intended as a historical record entry, not a forecast.
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.
Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges.
Context improves with scale. As more draws accumulate, isolated anomalies either normalize into baseline rates or reveal persistent deviations that warrant closer monitoring.
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.