Powerball Results
On Monday night, May 11, 2026, the Powerball draw in Maryland marked a notable return: 24 30 37 56 64 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 11,238,513 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Winning numbers for 1 draw on May 11, 2026 in Maryland.
Draw times: Evening.
Our take on the Powerball results
May 11, 2026Powerball report — Monday night, May 11, 2026: 24 30 37 56 64 shows a notable pattern
On Monday night, May 11, 2026, the Powerball draw in Maryland marked a notable return: 24 30 37 56 64 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 11,238,513 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Overview
On Monday night, May 11, 2026, the Powerball draw in Maryland marked a notable return: 24 30 37 56 64 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 11,238,513 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Combo Profile
From a pattern view, 24 30 37 56 64 holds 5 distinct numbers and no repeats. The numbers span 24 to 64, a wide spread.
Why Droughts Matter
Deep gaps are context, not a signal - they track where outcomes drift from baseline spacing. They provide a clean read on long-run variance.
Data Notes
This analysis uses the draw results recorded for Monday night, May 11, 2026 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
At Stepzero, the priority is accuracy and context. This report is intended as a historical record entry, not a forecast.
Additional Context
Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to expected ranges.
Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges.
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 the broader record, this appearance adds one more entry to the historical dataset. The long-run picture sharpens as entries accrue.