Multi-Match Results
On Monday night, February 2, 2026, the Multi-Match draw in Maryland produced a notable return: 09 15 22 27 39 40 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 2, 2026 in Maryland.
Draw times: Evening.
Our take on the Multi-Match results
February 2, 2026Multi-Match report — Monday night, February 2, 2026: 09 15 22 27 39 40 shows a notable pattern
On Monday night, February 2, 2026, the Multi-Match draw in Maryland produced a notable return: 09 15 22 27 39 40 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 Monday night, February 2, 2026, the Multi-Match draw in Maryland produced a notable return: 09 15 22 27 39 40 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
Beyond the drought, the numbers show a clean structure: 6 distinct numbers with no repeats, spanning 9 to 40 (wide spread).
Why Droughts Matter
Long gaps are descriptive, not a signal - they track where outcomes drift from baseline spacing. They make variance visible across extended windows.
Data Notes
This analysis uses the draw results recorded for Monday night, February 2, 2026 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
Record-keeping at scale becomes the foundation for analysis. Each outcome, whether typical or unusual, contributes to the stability and clarity of the long-run picture. Long-horizon tracking is the only reliable way to separate short-term noise from persistent drift. By logging each outcome against its expected cadence, the system builds a distribution profile that becomes more stable as the sample grows.
Adding to the Long-Term Record
From a long-horizon view, 09 15 22 27 39 40 adds a fresh entry to the record to the archive. Long-horizon stability comes from accumulation.