Hit 5 Results
06 22 24 34 42 reappeared in the Hit 5 draw on Sunday night, January 11, 2026 after days, a long-gap outcome that warrants documentation in the historical record even when cadence benchmarks are unavailable.
Winning numbers for 1 draw on January 11, 2026 in Washington.
Draw times: Evening.
Our take on the Hit 5 results
January 11, 2026Hit 5 report — Sunday night, January 11, 2026: 06 22 24 34 42 shows a notable pattern
06 22 24 34 42 reappeared in the Hit 5 draw on Sunday night, January 11, 2026 after days, a long-gap outcome that warrants documentation in the historical record even when cadence benchmarks are unavailable.
Overview
06 22 24 34 42 reappeared in the Hit 5 draw on Sunday night, January 11, 2026 after days, a long-gap outcome that warrants documentation in the historical record even when cadence benchmarks are unavailable.
Combo Profile
As a number pattern, 06 22 24 34 42 uses 5 distinct numbers and a wide spread from 6 to 42.
Why Droughts Matter
Extended absences like this provide context, not direction. They show how randomness behaves across large samples and help analysts quantify how often the system deviates from its baseline cadence.
Data Notes
Results are evaluated against historical frequency baselines where available. The goal is documentation and context rather than prediction.
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.
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.
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
Over the long run, this entry adds a new point to the dataset to the archive. The long-run picture sharpens as entries accrue.