Powerball Results
On Wednesday night, May 13, 2026, the Powerball draw in District of Columbia brought 22 31 52 56 67 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 May 13, 2026 in District of Columbia.
Draw times: Evening.
Our take on the Powerball results
May 13, 2026Powerball report — Wednesday night, May 13, 2026: 22 31 52 56 67 shows a notable pattern
On Wednesday night, May 13, 2026, the Powerball draw in District of Columbia brought 22 31 52 56 67 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 Wednesday night, May 13, 2026, the Powerball draw in District of Columbia brought 22 31 52 56 67 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
Structurally, this draw has 5 distinct numbers and no repeats. The range from 22 to 67 is 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 captures the recorded draws for Wednesday night, May 13, 2026 with reference to historical 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
Context improves with scale. As more draws accumulate, isolated anomalies either normalize into baseline rates or reveal persistent deviations that warrant closer monitoring. 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.
Adding to the Long-Term Record
With its return, 22 31 52 56 67 contributes another meaningful data point to the historical dataset. Each draw - whether routine or statistically unusual - refines the long-term view of how large random systems behave over time.