Mega Millions Results
On Tuesday night, September 23, 2025, the Mega Millions draw in Wisconsin produced a notable return: 13 24 41 42 70 after days of absence. Against an expected cadence of 1 in 12,103,014 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Winning numbers for 1 draw on September 23, 2025 in Wisconsin.
Draw times: Evening.
Our take on the Mega Millions results
September 23, 2025Mega Millions report — Tuesday night, September 23, 2025: 13 24 41 42 70 shows a notable pattern
On Tuesday night, September 23, 2025, the Mega Millions draw in Wisconsin produced a notable return: 13 24 41 42 70 after days of absence. Against an expected cadence of 1 in 12,103,014 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Overview
On Tuesday night, September 23, 2025, the Mega Millions draw in Wisconsin produced a notable return: 13 24 41 42 70 after days of absence. Against an expected cadence of 1 in 12,103,014 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Combo Profile
Beyond the drought, the numbers show a clean structure: 5 distinct numbers with no repeats, spanning 13 to 70 (wide spread).
Why Droughts Matter
Prolonged absences are best treated as context, not predictive - they track where outcomes drift from baseline spacing. They help analysts track drift against expected cadence.
Data Notes
This analysis uses the draw results recorded for Tuesday night, September 23, 2025 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
Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to expected ranges. Stability comes from the accumulation of entries. One draw alone does not define the pattern, but the record grows more reliable with each addition to the dataset.
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.