Powerball Results
On Monday night, June 16, 2025, the POWERBALL draw in New Hampshire brought 17 21 23 27 52 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 June 16, 2025 in New Hampshire.
Draw times: Evening.
Our take on the Powerball results
June 16, 2025POWERBALL report — Monday night, June 16, 2025: 17 21 23 27 52 shows a notable pattern
On Monday night, June 16, 2025, the POWERBALL draw in New Hampshire brought 17 21 23 27 52 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, June 16, 2025, the POWERBALL draw in New Hampshire brought 17 21 23 27 52 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
The numbers in 17 21 23 27 52 cover a wide range (17 to 52) with no repeats.
Why Droughts Matter
Deep gaps are context markers, not forward-looking - they track where outcomes drift from baseline spacing. They help analysts track drift against expected cadence.
Data Notes
This analysis uses the draw results recorded for Monday night, June 16, 2025 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
The core idea: this reporting is shaped to document distribution behavior over time as a record, not a recommendation. The intent is clarity, not prediction.
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. 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, 17 21 23 27 52 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.