Multi-Match Results
On Thursday night, February 6, 2025, the Multi-Match draw in Maryland produced a notable return: 01 07 16 28 33 42 after days of absence. Against an expected cadence of 1 in 6,096,454 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Winning numbers for 1 draw on February 6, 2025 in Maryland.
Draw times: Evening.
Our take on the Multi-Match results
February 6, 2025Multi-Match report — Thursday night, February 6, 2025: 01 07 16 28 33 42 shows a notable pattern
On Thursday night, February 6, 2025, the Multi-Match draw in Maryland produced a notable return: 01 07 16 28 33 42 after days of absence. Against an expected cadence of 1 in 6,096,454 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Overview
On Thursday night, February 6, 2025, the Multi-Match draw in Maryland produced a notable return: 01 07 16 28 33 42 after days of absence. Against an expected cadence of 1 in 6,096,454 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Combo Profile
As a number pattern, 01 07 16 28 33 42 uses 6 distinct numbers and a wide spread from 1 to 42.
Why Droughts Matter
Extended gaps remain descriptive, not prescriptive - they show how distribution tails behave. They make variance visible across extended windows.
Data Notes
This analysis uses the draw results recorded for Thursday night, February 6, 2025 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
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. 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
The return of 01 07 16 28 33 42 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.