Powerball Results
On Wednesday night, January 1, 2025, the Powerball draw in Illinois brought 06 12 28 35 66 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 January 1, 2025 in Illinois.
Draw times: Evening.
Our take on the Powerball results
January 1, 2025Powerball report — Wednesday night, January 1, 2025: 06 12 28 35 66 shows a notable pattern
On Wednesday night, January 1, 2025, the Powerball draw in Illinois brought 06 12 28 35 66 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, January 1, 2025, the Powerball draw in Illinois brought 06 12 28 35 66 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 06 12 28 35 66 cover a wide range (6 to 66) with no repeats.
Why Droughts Matter
Extended gaps are context markers, not directional - they document what has already happened. They clarify how far outcomes drift from baseline cadence.
Data Notes
This analysis uses the draw results recorded for Wednesday night, January 1, 2025 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
At its core: this series is designed to preserve a stable long-horizon record for analysts and long-run tracking. The aim is context, not 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. Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges.
Adding to the Long-Term Record
The return of 06 12 28 35 66 expands the archive by one more data point. It is the accumulation of these entries, not a single draw, that defines the reliability of long-horizon analysis.