Powerball Results
On Monday night, February 16, 2026, the Powerball draw in Maryland brought 16 18 19 56 58 back after days away. Given an expected cadence of 1 in 11,238,513 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Winning numbers for 1 draw on February 16, 2026 in Maryland.
Draw times: Evening.
Our take on the Powerball results
February 16, 2026Powerball report — Monday night, February 16, 2026: 16 18 19 56 58 shows a notable pattern
On Monday night, February 16, 2026, the Powerball draw in Maryland brought 16 18 19 56 58 back after days away. Given an expected cadence of 1 in 11,238,513 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Overview
On Monday night, February 16, 2026, the Powerball draw in Maryland brought 16 18 19 56 58 back after days away. Given an expected cadence of 1 in 11,238,513 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Combo Profile
From a number profile angle, this draw has 5 distinct numbers with no repeats. The range sits at 16 to 58, 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
The method: this report documents results recorded for Monday night, February 16, 2026 with comparison to long-run frequency baselines. It is intended for context, not forecasting.
From Stepzero
Stepzero produces these reports to provide a calm, evidence-first record of how draw patterns unfold over time. The aim is clarity and continuity - a reference point for long-horizon tracking rather than a call to action.
Additional Context
Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges. 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
Across the long-term record, this entry adds one more entry to the record. It is the cumulative record that makes analysis stable.