Mega Millions Results
On Tuesday night, November 28, 2023, the Mega Millions draw in Wisconsin brought 27 37 42 59 61 back after days away. Given an expected cadence of 1 in 12,103,014 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 28, 2023 in Wisconsin.
Draw times: Evening.
Our take on the Mega Millions results
November 28, 2023Mega Millions report — Tuesday night, November 28, 2023: 27 37 42 59 61 shows a notable pattern
On Tuesday night, November 28, 2023, the Mega Millions draw in Wisconsin brought 27 37 42 59 61 back after days away. Given an expected cadence of 1 in 12,103,014 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Overview
On Tuesday night, November 28, 2023, the Mega Millions draw in Wisconsin brought 27 37 42 59 61 back after days away. Given an expected cadence of 1 in 12,103,014 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Combo Profile
As a number pattern, 27 37 42 59 61 uses 5 distinct numbers and a wide spread from 27 to 61.
Why Droughts Matter
A long drought is descriptive rather than predictive. It records variance across time and helps analysts evaluate whether outcomes are tracking within expected frequency bands or drifting into the tails of the distribution.
Data Notes
This analysis uses the draw results recorded for Tuesday night, November 28, 2023 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
The takeaway: these reports are intended to preserve a stable long-horizon record as a stable reference point. The focus is long-horizon context.
Additional Context
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.