Pick 6 Results
On Monday midday, February 13, 2023, the Pick 6 draw in New Jersey marked a notable return: 10 17 23 34 36 40 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 February 13, 2023 in New Jersey.
Draw times: Evening.
Our take on the Pick 6 results
February 13, 2023Pick 6 report — Monday midday, February 13, 2023: 10 17 23 34 36 40 shows a notable pattern
On Monday midday, February 13, 2023, the Pick 6 draw in New Jersey marked a notable return: 10 17 23 34 36 40 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, February 13, 2023, the Pick 6 draw in New Jersey marked a notable return: 10 17 23 34 36 40 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 17 23 34 36 40 uses 6 distinct numbers and a wide spread from 10 to 40.
Why Droughts Matter
Large gaps are best treated as context, not forward-looking - they track where outcomes drift from baseline spacing. They clarify how far outcomes drift from baseline cadence.
Data Notes
To clarify: this analysis summarizes observed outcomes for Monday midday, February 13, 2023 with comparison to long-run frequency baselines. It is intended for context, not forecasting.
From Stepzero
Importantly: this reporting is designed to preserve a stable long-horizon record as a reliable record for analysts. The priority is accuracy and continuity.
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.
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
In long-horizon tracking, this entry adds one more entry to the historical dataset. The accumulation, not any single draw, builds reliability.