Pick 6 Results
In the Pick 6 draw on Monday midday, May 5, 2025, 07 19 29 40 42 46 showed up following a -day absence for New Jersey. The gap is large relative to 1 in 9,366,819 draws, placing it deep in the tail.
Winning numbers for 1 draw on May 5, 2025 in New Jersey.
Draw times: Midday.
Our take on the Pick 6 results
May 5, 2025Pick 6 report — Monday midday, May 5, 2025: 07 19 29 40 42 46 shows a notable pattern
In the Pick 6 draw on Monday midday, May 5, 2025, 07 19 29 40 42 46 showed up following a -day absence for New Jersey. The gap is large relative to 1 in 9,366,819 draws, placing it deep in the tail.
Overview
In the Pick 6 draw on Monday midday, May 5, 2025, 07 19 29 40 42 46 showed up following a -day absence for New Jersey. The gap is large relative to 1 in 9,366,819 draws, placing it deep in the tail.
Combo Profile
The numbers in 07 19 29 40 42 46 cover a wide range (7 to 46) with no repeats.
Why Droughts Matter
Prolonged absences are descriptive, not prescriptive - they record variance across time. They offer context for distribution stability over time.
Data Notes
This analysis uses the draw results recorded for Monday midday, May 5, 2025 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 reporting is designed to keep a calm, evidence-first record as a reference point for continuity. The aim is context, not a call to action.
Additional Context
Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges.
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.
Adding to the Long-Term Record
In long-horizon tracking, this result adds another archive entry to the long-run dataset. Long-horizon stability comes from accumulation.