Multi-Match Results
On Thursday night, January 22, 2026, the Multi-Match draw in Maryland produced a notable return: 04 06 10 27 39 41 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 22, 2026 in Maryland.
Draw times: Evening.
Our take on the Multi-Match results
January 22, 2026Multi-Match report — Thursday night, January 22, 2026: 04 06 10 27 39 41 shows a notable pattern
On Thursday night, January 22, 2026, the Multi-Match draw in Maryland produced a notable return: 04 06 10 27 39 41 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, January 22, 2026, the Multi-Match draw in Maryland produced a notable return: 04 06 10 27 39 41 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
From a number-profile view, the combination holds 6 distinct numbers with no repeats present. The range sits at 4 to 41, a wide spread.
Why Droughts Matter
Deep gaps are best treated as context, not a cue - they show how distribution tails behave. Their value is in long-horizon tracking.
Data Notes
This analysis uses the draw results recorded for Thursday night, January 22, 2026 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
Stepzero produces these reports to provide a calm, evidence-first record of how draw patterns unfold over time. The aim is clarity and continuity - a reference point for long-horizon tracking rather than a call to action.
Additional Context
Context improves with scale. As more draws accumulate, isolated anomalies either normalize into baseline rates or reveal persistent deviations that warrant closer monitoring. 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
This result adds a measurable entry to the long-term record. Over time, those entries are what sharpen distribution analysis and reveal whether the system is tracking its expected cadence.