Mega Millions Results
On Friday night, November 28, 2025, 06 07 13 39 48 reappeared after a -day wait in the Wisconsin record. The gap is large relative to 1 in 12,103,014 draws, placing it deep in the tail.
Winning numbers for 1 draw on November 28, 2025 in Wisconsin.
Draw times: Evening.
Our take on the Mega Millions results
November 28, 2025Mega Millions report — Friday night, November 28, 2025: 06 07 13 39 48 shows a notable pattern
On Friday night, November 28, 2025, 06 07 13 39 48 reappeared after a -day wait in the Wisconsin record. The gap is large relative to 1 in 12,103,014 draws, placing it deep in the tail.
Overview
On Friday night, November 28, 2025, 06 07 13 39 48 reappeared after a -day wait in the Wisconsin record. The gap is large relative to 1 in 12,103,014 draws, placing it deep in the tail.
Combo Profile
Beyond the drought, the numbers show a clean structure: 5 distinct numbers with no repeats, spanning 6 to 48 (wide spread).
Why Droughts Matter
Prolonged absences function as context, not predictive - they show where spacing departs from typical cadence. They clarify how far outcomes drift from baseline cadence.
Data Notes
Specifically: this report documents observed outcomes for Friday night, November 28, 2025 and benchmarks them against historical frequency baselines. This is documentation, not a forecast.
From Stepzero
Simply put: these reports are built to maintain continuity across the record for analysts and long-run tracking. It is meant to inform, not 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.
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
With its return, 06 07 13 39 48 contributes another meaningful data point to the historical dataset. Each draw - whether routine or statistically unusual - refines the long-term view of how large random systems behave over time.