Pick 6 Results
On Monday midday, November 21, 2022, the Pick 6 draw in New Jersey brought 04 22 23 32 33 41 back after days away. Given an expected cadence of 1 in 9,366,819 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 November 21, 2022 in New Jersey.
Draw times: Evening.
Our take on the Pick 6 results
November 21, 2022Pick 6 report — Monday midday, November 21, 2022: 04 22 23 32 33 41 shows a notable pattern
On Monday midday, November 21, 2022, the Pick 6 draw in New Jersey brought 04 22 23 32 33 41 back after days away. Given an expected cadence of 1 in 9,366,819 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Overview
On Monday midday, November 21, 2022, the Pick 6 draw in New Jersey brought 04 22 23 32 33 41 back after days away. Given an expected cadence of 1 in 9,366,819 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Combo Profile
As a number pattern, 04 22 23 32 33 41 uses 6 distinct numbers and a wide spread from 4 to 41.
Why Droughts Matter
Extended absences are descriptive, not prescriptive - they record variance across time. They help analysts track drift against expected cadence.
Data Notes
This analysis uses the draw results recorded for Monday midday, November 21, 2022 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 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
The return of 04 22 23 32 33 41 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.