Match 4 Results
On Saturday night, May 16, 2026, the Match 4 draw in Washington brought 06 13 16 18 back after days away. The interval registers as a long-gap event and is best understood as a distribution marker over time.
Winning numbers for 1 draw on May 16, 2026 in Washington.
Draw times: Evening.
Our take on the Match 4 results
May 16, 2026Match 4 report — Saturday night, May 16, 2026: 06 13 16 18 shows a notable pattern
On Saturday night, May 16, 2026, the Match 4 draw in Washington brought 06 13 16 18 back after days away. The interval registers as a long-gap event and is best understood as a distribution marker over time.
Overview
On Saturday night, May 16, 2026, the Match 4 draw in Washington brought 06 13 16 18 back after days away. The interval registers as a long-gap event and is best understood as a distribution marker over time.
Combo Profile
The numbers in 06 13 16 18 cover a wide range (6 to 18) 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 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
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. Context improves with scale. As more draws accumulate, isolated anomalies either normalize into baseline rates or reveal persistent deviations that warrant closer monitoring.
Adding to the Long-Term Record
The return of 06 13 16 18 expands the archive by one more data point. It is the accumulation of these entries, not a single draw, that defines the reliability of long-horizon analysis.