Mega Millions Results
On Friday night, April 17, 2026, for Wisconsin's Mega Millions draw, 38 43 44 49 62 reappeared after a -day gap in Wisconsin. By the expected cadence of 1 in 12,103,014 draws, the interval is a long-gap event.
Winning numbers for 1 draw on April 17, 2026 in Wisconsin.
Draw times: Evening.
Our take on the Mega Millions results
April 17, 2026Mega Millions report — Friday night, April 17, 2026: 38 43 44 49 62 shows a notable pattern
On Friday night, April 17, 2026, for Wisconsin's Mega Millions draw, 38 43 44 49 62 reappeared after a -day gap in Wisconsin. By the expected cadence of 1 in 12,103,014 draws, the interval is a long-gap event.
Overview
On Friday night, April 17, 2026, for Wisconsin's Mega Millions draw, 38 43 44 49 62 reappeared after a -day gap in Wisconsin. By the expected cadence of 1 in 12,103,014 draws, the interval is a long-gap event.
Combo Profile
The numbers in 38 43 44 49 62 cover a wide range (38 to 62) with no repeats.
Why Droughts Matter
Droughts do not indicate what will happen next - they simply document what has already occurred. Their value lies in measuring distribution over long horizons and identifying when a combination performs far above or below its expected appearance rate.
Data Notes
This analysis uses the draw results recorded for Friday night, April 17, 2026 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
Stepzero focuses on documenting distribution behavior over large samples. Each report is a snapshot of observed outcomes, designed to support disciplined, long-term analysis.
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. Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to expected ranges.
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.