Match 4 Results
On Sunday night, January 4, 2026, the Match 4 draw in Washington marked a notable return: 03 14 16 20 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 10,626 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Winning numbers for 1 draw on January 4, 2026 in Washington.
Draw times: Evening.
Our take on the Match 4 results
January 4, 2026Match 4 report — Sunday night, January 4, 2026: 03 14 16 20 shows a notable pattern
On Sunday night, January 4, 2026, the Match 4 draw in Washington marked a notable return: 03 14 16 20 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 10,626 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Overview
On Sunday night, January 4, 2026, the Match 4 draw in Washington marked a notable return: 03 14 16 20 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 10,626 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Combo Profile
As a number pattern, 03 14 16 20 uses 4 distinct numbers and a wide spread from 3 to 20.
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
This analysis uses the draw results recorded for Sunday night, January 4, 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 focuses on documenting distribution behavior over large samples. Each report is a snapshot of observed outcomes, designed to support disciplined, long-term analysis.
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. Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges.
Adding to the Long-Term Record
With its return, 03 14 16 20 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.