Pick 6 Results
On Saturday night, May 9, 2026, the Pick 6 draw in New Jersey produced a notable return: 02 06 13 21 27 33 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 May 9, 2026 in New Jersey.
Draw times: Evening.
Our take on the Pick 6 results
May 9, 2026Pick 6 report — Saturday night, May 9, 2026: 02 06 13 21 27 33 shows a notable pattern
On Saturday night, May 9, 2026, the Pick 6 draw in New Jersey produced a notable return: 02 06 13 21 27 33 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 night, May 9, 2026, the Pick 6 draw in New Jersey produced a notable return: 02 06 13 21 27 33 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
As a number pattern, 02 06 13 21 27 33 uses 6 distinct numbers and a wide spread from 2 to 33.
Why Droughts Matter
Extended absences like this provide context, not direction. They show how randomness behaves across large samples and help analysts quantify how often the system deviates from its baseline cadence.
Data Notes
This analysis uses the draw results recorded for Saturday night, May 9, 2026 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
Importantly: this series is meant to keep the record consistent over time as a reference point for continuity. The aim is context, not 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. Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges.
Adding to the Long-Term Record
The return of 02 06 13 21 27 33 expands the archive by one more data point. It is the accumulation of these entries, not a single draw, that defines the reliability of long-horizon analysis.