Megabucks Results
On Monday night, May 13, 2024, the Megabucks draw in Massachusetts marked a notable return: 04 19 24 35 37 40 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 7,059,052 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Winning numbers for 1 draw on May 13, 2024 in Massachusetts.
Draw times: Evening.
Our take on the Megabucks results
May 13, 2024Megabucks report — Monday night, May 13, 2024: 04 19 24 35 37 40 shows a notable pattern
On Monday night, May 13, 2024, the Megabucks draw in Massachusetts marked a notable return: 04 19 24 35 37 40 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 7,059,052 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Overview
On Monday night, May 13, 2024, the Megabucks draw in Massachusetts marked a notable return: 04 19 24 35 37 40 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 7,059,052 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Combo Profile
As a number shape, this result lands on 6 distinct numbers and no repeats. The numbers run from 4 to 40 with a wide range.
Why Droughts Matter
Large gaps are best read as context, not directional - they record variance across time. They offer context for distribution stability over time.
Data Notes
This analysis uses the draw results recorded for Monday night, May 13, 2024 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
Importantly: this reporting is designed to document distribution behavior over time as a reference point for continuity. The intent is clarity, not prediction.
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. Context improves with scale. As more draws accumulate, isolated anomalies either normalize into baseline rates or reveal persistent deviations that warrant closer monitoring.
Adding to the Long-Term Record
In long-horizon tracking, this return contributes one more record entry to the archive. Reliability is a function of the growing record.