Pick 6 Results
On Saturday, November 22, 2025, the Pick 6 draw in New Jersey produced a notable return: 05 12 16 17 41 46 after days of absence. Against an expected cadence of 1 in 9,366,819 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Winning numbers for 1 draw on November 22, 2025 in New Jersey.
Draw times: Evening.
Our take on the Pick 6 results
November 22, 2025Pick 6 report — Saturday, November 22, 2025: 05 12 16 17 41 46 shows a notable pattern
On Saturday, November 22, 2025, the Pick 6 draw in New Jersey produced a notable return: 05 12 16 17 41 46 after days of absence. Against an expected cadence of 1 in 9,366,819 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Overview
On Saturday, November 22, 2025, the Pick 6 draw in New Jersey produced a notable return: 05 12 16 17 41 46 after days of absence. Against an expected cadence of 1 in 9,366,819 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Combo Profile
From a pattern view, the outcome uses 6 distinct numbers with no repeats in the numbers. The range sits at 5 to 46, a wide spread.
Why Droughts Matter
Extended gaps function as context, not predictive - they mark how variance accumulates over long samples. They provide a clean read on long-run variance.
Data Notes
This report summarizes observed outcomes for Saturday, November 22, 2025 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
The takeaway: this reporting is shaped to keep the long-horizon record steady as a stable reference point. The focus is long-horizon context.
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
Across the long-term record, 05 12 16 17 41 46 contributes one more record entry to the historical dataset. The record gains clarity as entries accumulate.