Mega Millions Results
On Tuesday night, November 28, 2023, the Mega Millions draw in Massachusetts marked a notable return: 27 37 42 59 61 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 12,103,014 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Winning numbers for 1 draw on November 28, 2023 in Massachusetts.
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 Massachusetts marked a notable return: 27 37 42 59 61 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 12,103,014 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Overview
On Tuesday night, November 28, 2023, the Mega Millions draw in Massachusetts marked a notable return: 27 37 42 59 61 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 12,103,014 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
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
To clarify: this analysis documents the draw results for Tuesday night, November 28, 2023 with reference to historical frequency baselines. The intent is documentation, not forecasting.
From Stepzero
At Stepzero, the priority is accuracy and context. This report is intended as a historical record entry, not a forecast.
Additional Context
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. 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
Over the broader record, this appearance adds a new point to the dataset to the historical dataset. The long-run picture sharpens as entries accrue.