Megabucks Results
On Saturday night, May 30, 2026, the Megabucks draw in Massachusetts marked a notable return: 01 15 22 36 41 42 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 30, 2026 in Massachusetts.
Draw times: Evening.
Our take on the Megabucks results
May 30, 2026Megabucks report — Saturday night, May 30, 2026: 01 15 22 36 41 42 shows a notable pattern
On Saturday night, May 30, 2026, the Megabucks draw in Massachusetts marked a notable return: 01 15 22 36 41 42 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 Saturday night, May 30, 2026, the Megabucks draw in Massachusetts marked a notable return: 01 15 22 36 41 42 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 number profile angle, this result uses 6 distinct numbers with no repeats noted. Its range is 1 to 42 with a wide spread.
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
As documented: this analysis summarizes the recorded draws for Saturday night, May 30, 2026 and anchors them against historical cadence. The goal is context, not prediction.
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. 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
Over the long run, today's outcome adds another data point to the record. The long-run picture sharpens as entries accrue.