Fantasy 5 Results
For the Fantasy 5 draw on Monday night, May 11, 2026, 01 17 21 35 36 showed up again after a -day gap for Michigan. Against an expected cadence of 1 in 575,757 draws, the gap stands out as a long-horizon outlier.
Winning numbers for 1 draw on May 11, 2026 in Michigan.
Draw times: Evening.
Our take on the Fantasy 5 results
May 11, 2026Fantasy 5 report — Monday night, May 11, 2026: 01 17 21 35 36 shows a notable pattern
For the Fantasy 5 draw on Monday night, May 11, 2026, 01 17 21 35 36 showed up again after a -day gap for Michigan. Against an expected cadence of 1 in 575,757 draws, the gap stands out as a long-horizon outlier.
Overview
For the Fantasy 5 draw on Monday night, May 11, 2026, 01 17 21 35 36 showed up again after a -day gap for Michigan. Against an expected cadence of 1 in 575,757 draws, the gap stands out as a long-horizon outlier.
Combo Profile
Beyond the drought, the numbers show a clean structure: 5 distinct numbers with no repeats, spanning 1 to 36 (wide spread).
Why Droughts Matter
Extended gaps are best read as context, not prescriptive - they mark how variance accumulates over long samples. They offer context for distribution stability over time.
Data Notes
As documented: this report records the recorded draws for Monday night, May 11, 2026 with benchmarking against long-run cadence. The focus is documentation over 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
Context improves with scale. As more draws accumulate, isolated anomalies either normalize into baseline rates or reveal persistent deviations that warrant closer monitoring.
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
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.