Megabucks Results
On Saturday night, November 22, 2025, the Megabucks draw in Wisconsin brought 09 13 16 33 42 49 back after days away. Given an expected cadence of 1 in 13,983,816 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Winning numbers for 1 draw on November 22, 2025 in Wisconsin.
Draw times: Evening.
Our take on the Megabucks results
November 22, 2025Megabucks report — Saturday night, November 22, 2025: 09 13 16 33 42 49 shows a notable pattern
On Saturday night, November 22, 2025, the Megabucks draw in Wisconsin brought 09 13 16 33 42 49 back after days away. Given an expected cadence of 1 in 13,983,816 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Overview
On Saturday night, November 22, 2025, the Megabucks draw in Wisconsin brought 09 13 16 33 42 49 back after days away. Given an expected cadence of 1 in 13,983,816 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Combo Profile
The numbers in 09 13 16 33 42 49 cover a wide range (9 to 49) with no repeats.
Why Droughts Matter
Extended gaps are descriptive, not a cue - they highlight the tail behavior of the system. They help analysts track drift against expected cadence.
Data Notes
The method: this analysis documents observed outcomes for Saturday night, November 22, 2025 and benchmarks them against historical frequency baselines. The goal is context, not prediction.
From Stepzero
At its core: this reporting is shaped to sustain continuity in the archive as context for disciplined analysis. It is meant to inform, not forecast.
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.
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
The return of 09 13 16 33 42 49 expands the archive by one more data point. It is the accumulation of these entries, not a single draw, that defines the reliability of long-horizon analysis.