Pick 6 Results
On Saturday night, May 16, 2026, the Pick 6 draw in New Jersey brought 08 18 26 30 39 43 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 May 16, 2026 in New Jersey.
Draw times: Evening.
Our take on the Pick 6 results
May 16, 2026Pick 6 report — Saturday night, May 16, 2026: 08 18 26 30 39 43 shows a notable pattern
On Saturday night, May 16, 2026, the Pick 6 draw in New Jersey brought 08 18 26 30 39 43 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 Saturday night, May 16, 2026, the Pick 6 draw in New Jersey brought 08 18 26 30 39 43 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
From a number-profile view, 08 18 26 30 39 43 holds 6 distinct numbers while showing no repeats. The range sits at 8 to 43, a wide spread.
Why Droughts Matter
Extended absences are best read as context, not predictive - they track where outcomes drift from baseline spacing. Their value is in long-horizon tracking.
Data Notes
This analysis uses the draw results recorded for Saturday night, May 16, 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 focuses on documenting distribution behavior over large samples. Each report is a snapshot of observed outcomes, designed to support disciplined, long-term analysis.
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. 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.