Multi-Match Results
On Monday night, January 19, 2026, the Multi-Match draw in Maryland produced a notable return: 01 03 08 11 22 26 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 January 19, 2026 in Maryland.
Draw times: Evening.
Our take on the Multi-Match results
January 19, 2026Multi-Match report — Monday night, January 19, 2026: 01 03 08 11 22 26 shows a notable pattern
On Monday night, January 19, 2026, the Multi-Match draw in Maryland produced a notable return: 01 03 08 11 22 26 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, January 19, 2026, the Multi-Match draw in Maryland produced a notable return: 01 03 08 11 22 26 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
The numbers in 01 03 08 11 22 26 cover a wide range (1 to 26) with no repeats.
Why Droughts Matter
Long droughts are best treated as context, not a signal - they show where spacing departs from typical cadence. They help quantify how often outcomes move into the tails.
Data Notes
To clarify: this report summarizes the recorded draws for Monday night, January 19, 2026 with comparison to long-run frequency baselines. The goal is context, not prediction.
From Stepzero
Simply put: this series is meant to maintain continuity across the record as a reliable record for analysts. It is meant to inform, not 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
With its return, 01 03 08 11 22 26 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.