Multi-Match Results
On Thursday night, September 11, 2025, the Multi-Match draw in Maryland brought 05 26 29 30 32 40 back after days away. Given an expected cadence of 1 in 6,096,454 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 September 11, 2025 in Maryland.
Draw times: Evening.
Our take on the Multi-Match results
September 11, 2025Multi-Match report — Thursday night, September 11, 2025: 05 26 29 30 32 40 shows a notable pattern
On Thursday night, September 11, 2025, the Multi-Match draw in Maryland brought 05 26 29 30 32 40 back after days away. Given an expected cadence of 1 in 6,096,454 draws, this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Overview
On Thursday night, September 11, 2025, the Multi-Match draw in Maryland brought 05 26 29 30 32 40 back after days away. Given an expected cadence of 1 in 6,096,454 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, 05 26 29 30 32 40 uses 6 distinct numbers and a wide spread from 5 to 40.
Why Droughts Matter
Extended absences are best treated as context, not prescriptive - they record variance across time. They offer context for distribution stability over time.
Data Notes
This analysis uses the draw results recorded for Thursday night, September 11, 2025 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
At its core: this series is meant to sustain continuity in the archive for analysts and long-run tracking. The goal is clarity and stability.
Additional Context
Context improves with scale. As more draws accumulate, isolated anomalies either normalize into baseline rates or reveal persistent deviations that warrant closer monitoring. 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.
Adding to the Long-Term Record
Over the broader record, this draw contributes one more record entry to the long-horizon record. Stability comes from the growing record, not any one draw.