Megabucks Results
On Monday night, April 13, 2026, the Megabucks draw in Massachusetts marked a notable return: 01 10 11 24 36 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 April 13, 2026 in Massachusetts.
Draw times: Evening.
Our take on the Megabucks results
April 13, 2026Megabucks report — Monday night, April 13, 2026: 01 10 11 24 36 40 shows a notable pattern
On Monday night, April 13, 2026, the Megabucks draw in Massachusetts marked a notable return: 01 10 11 24 36 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, April 13, 2026, the Megabucks draw in Massachusetts marked a notable return: 01 10 11 24 36 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
From a pattern view, the pattern shows 6 distinct numbers while showing no repeats. Its range is 1 to 40 with a wide spread.
Why Droughts Matter
Long gaps are best read as context, not a forecast - they document what has already happened. They provide a clean read on long-run variance.
Data Notes
This analysis uses the draw results recorded for Monday night, April 13, 2026 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
Stepzero focuses on documenting distribution behavior over large samples. Each report is a snapshot of observed outcomes, designed to support disciplined, long-term analysis.
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. 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.
Adding to the Long-Term Record
From a long-horizon view, this entry adds a fresh entry to the record to the cumulative record. The long-run picture sharpens as entries accrue.