Match 4 Results
10 12 13 24 reappeared in the Match 4 draw on Tuesday night, January 6, 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 6, 2026 in Washington.
Draw times: Evening.
Our take on the Match 4 results
January 6, 2026Match 4 report — Tuesday night, January 6, 2026: 10 12 13 24 shows a notable pattern
10 12 13 24 reappeared in the Match 4 draw on Tuesday night, January 6, 2026 after days, a long-gap outcome that warrants documentation in the historical record even when cadence benchmarks are unavailable.
Overview
10 12 13 24 reappeared in the Match 4 draw on Tuesday night, January 6, 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, 10 12 13 24 uses 4 distinct numbers and a wide spread from 10 to 24.
Why Droughts Matter
Long gaps are context markers, not a signal - they highlight the tail behavior of the system. They make variance visible across extended windows.
Data Notes
This report summarizes observed outcomes for Tuesday night, January 6, 2026 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
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 measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges.
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
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.