Pick 6 Results
On Monday midday, January 12, 2026, the Pick 6 draw in New Jersey marked a notable return: 10 13 17 21 31 41 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 9,366,819 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Winning numbers for 1 draw on January 12, 2026 in New Jersey.
Draw times: Evening.
Our take on the Pick 6 results
January 12, 2026Pick 6 report — Monday midday, January 12, 2026: 10 13 17 21 31 41 shows a notable pattern
On Monday midday, January 12, 2026, the Pick 6 draw in New Jersey marked a notable return: 10 13 17 21 31 41 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 9,366,819 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Overview
On Monday midday, January 12, 2026, the Pick 6 draw in New Jersey marked a notable return: 10 13 17 21 31 41 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 9,366,819 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Combo Profile
As a number pattern, 10 13 17 21 31 41 uses 6 distinct numbers and a wide spread from 10 to 41.
Why Droughts Matter
Prolonged absences are best read as context, not forward-looking - they highlight the tail behavior of the system. They clarify how far outcomes drift from baseline cadence.
Data Notes
The method: this report captures outcomes documented for Monday midday, January 12, 2026 and benchmarks them against historical frequency baselines. The goal is context, not prediction.
From Stepzero
The core idea: these reports are built to document distribution behavior over time as a reliable record for analysts. The priority is accuracy and continuity.
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. 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
With its return, 10 13 17 21 31 41 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.