Match 4 Results
On Sunday night, May 3, 2026, the Match 4 draw in Washington marked a notable return: 12 13 16 17 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 May 3, 2026 in Washington.
Draw times: Evening.
Our take on the Match 4 results
May 3, 2026Match 4 report — Sunday night, May 3, 2026: 12 13 16 17 shows a notable pattern
On Sunday night, May 3, 2026, the Match 4 draw in Washington marked a notable return: 12 13 16 17 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, May 3, 2026, the Match 4 draw in Washington marked a notable return: 12 13 16 17 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
The numbers in 12 13 16 17 cover a moderate range (12 to 17) with no repeats.
Why Droughts Matter
Droughts do not indicate what will happen next - they simply document what has already occurred. Their value lies in measuring distribution over long horizons and identifying when a combination performs far above or below its expected appearance rate.
Data Notes
Results are evaluated against historical frequency baselines where available. The goal is documentation and context rather than prediction.
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. 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.