Match 4 Results
On Friday night, May 29, 2026, the Match 4 draw in Washington brought 01 20 21 24 back after days away. Given an expected cadence of 1 in 10,626 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Winning numbers for 1 draw on May 29, 2026 in Washington.
Draw times: Evening.
Our take on the Match 4 results
May 29, 2026Match 4 report — Friday night, May 29, 2026: 01 20 21 24 shows a notable pattern
On Friday night, May 29, 2026, the Match 4 draw in Washington brought 01 20 21 24 back after days away. Given an expected cadence of 1 in 10,626 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Overview
On Friday night, May 29, 2026, the Match 4 draw in Washington brought 01 20 21 24 back after days away. Given an expected cadence of 1 in 10,626 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Combo Profile
As a number pattern, 01 20 21 24 uses 4 distinct numbers and a wide spread from 1 to 24.
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
The method: this analysis summarizes the results logged for Friday night, May 29, 2026 with reference to historical frequency baselines. This is documentation, not a forecast.
From Stepzero
At its core: this reporting is designed to preserve a stable long-horizon record as a calm, evidence-first reference. It is meant to inform, not forecast.
Additional Context
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
The return of 01 20 21 24 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.