Multi-Match Results
On Monday night, February 3, 2025, the Multi-Match draw in Maryland marked a notable return: 07 11 21 23 39 40 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 6,096,454 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Winning numbers for 1 draw on February 3, 2025 in Maryland.
Draw times: Evening.
Our take on the Multi-Match results
February 3, 2025Multi-Match report — Monday night, February 3, 2025: 07 11 21 23 39 40 shows a notable pattern
On Monday night, February 3, 2025, the Multi-Match draw in Maryland marked a notable return: 07 11 21 23 39 40 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 6,096,454 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Overview
On Monday night, February 3, 2025, the Multi-Match draw in Maryland marked a notable return: 07 11 21 23 39 40 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 6,096,454 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Combo Profile
In structural terms, the pattern holds 6 distinct numbers and no repeats. The range sits at 7 to 40, a wide spread.
Why Droughts Matter
Extended absences are context markers, not forward-looking - they mark how variance accumulates over long samples. They clarify how far outcomes drift from baseline cadence.
Data Notes
This report summarizes observed outcomes for Monday night, February 3, 2025 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
From Stepzero
At Stepzero, the priority is accuracy and context. This report is intended as a historical record entry, not a forecast.
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. Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to expected ranges.
Adding to the Long-Term Record
With its return, 07 11 21 23 39 40 contributes another meaningful data point to the historical dataset. Each draw - whether routine or statistically unusual - refines the long-term view of how large random systems behave over time.