Multi-Match Results
On Monday night, September 30, 2024, the Multi-Match draw in Maryland brought 09 11 15 20 39 42 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 30, 2024 in Maryland.
Draw times: Evening.
Our take on the Multi-Match results
September 30, 2024Multi-Match report — Monday night, September 30, 2024: 09 11 15 20 39 42 shows a notable pattern
On Monday night, September 30, 2024, the Multi-Match draw in Maryland brought 09 11 15 20 39 42 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 Monday night, September 30, 2024, the Multi-Match draw in Maryland brought 09 11 15 20 39 42 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
Beyond the drought, the numbers show a clean structure: 6 distinct numbers with no repeats, spanning 9 to 42 (wide spread).
Why Droughts Matter
Deep gaps are best treated as context, not a forecast - they document what has already happened. Their value is in long-horizon tracking.
Data Notes
This report summarizes observed outcomes for Monday night, September 30, 2024 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
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
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. 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 09 11 15 20 39 42 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.