Pick 6 Results
On Monday midday, January 27, 2025, 01 17 21 30 39 46 returned after days out of the results in the New Jersey draw record. By the expected cadence of 1 in 9,366,819 draws, the interval is a long-gap event.
Winning numbers for 1 draw on January 27, 2025 in New Jersey.
Draw times: Midday.
Our take on the Pick 6 results
January 27, 2025Pick 6 report — Monday midday, January 27, 2025: 01 17 21 30 39 46 shows a notable pattern
On Monday midday, January 27, 2025, 01 17 21 30 39 46 returned after days out of the results in the New Jersey draw record. By the expected cadence of 1 in 9,366,819 draws, the interval is a long-gap event.
Overview
On Monday midday, January 27, 2025, 01 17 21 30 39 46 returned after days out of the results in the New Jersey draw record. By the expected cadence of 1 in 9,366,819 draws, the interval is a long-gap event.
Combo Profile
As a number pattern, 01 17 21 30 39 46 uses 6 distinct numbers and a wide spread from 1 to 46.
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
This analysis uses the draw results recorded for Monday midday, January 27, 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 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 measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges.
Context improves with scale. As more draws accumulate, isolated anomalies either normalize into baseline rates or reveal persistent deviations that warrant closer monitoring.
Adding to the Long-Term Record
This result adds a measurable entry to the long-term record. Over time, those entries are what sharpen distribution analysis and reveal whether the system is tracking its expected cadence.