Pick 6 Results
On Monday night, June 1, 2026, the Pick 6 draw in New Jersey marked a notable return: 02 17 28 31 44 46 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 June 1, 2026 in New Jersey.
Draw times: Evening.
Our take on the Pick 6 results
June 1, 2026Pick 6 report — Monday night, June 1, 2026: 02 17 28 31 44 46 shows a notable pattern
On Monday night, June 1, 2026, the Pick 6 draw in New Jersey marked a notable return: 02 17 28 31 44 46 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 night, June 1, 2026, the Pick 6 draw in New Jersey marked a notable return: 02 17 28 31 44 46 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, 02 17 28 31 44 46 uses 6 distinct numbers and a wide spread from 2 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 night, June 1, 2026 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
Stepzero produces these reports to provide a calm, evidence-first record of how draw patterns unfold over time. The aim is clarity and continuity - a reference point for long-horizon tracking rather than a call to action.
Additional Context
Stability comes from the accumulation of entries. One draw alone does not define the pattern, but the record grows more reliable with each addition to the dataset.
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.