Multi-Match Results
On Monday night, May 5, 2025, during the Multi-Match draw in Maryland, 13 30 36 38 41 42 resurfaced after a -day drought in Maryland. With an expected cadence of 1 in 6,096,454 draws, the gap sits well beyond typical spacing.
Winning numbers for 1 draw on May 5, 2025 in Maryland.
Draw times: Evening.
Our take on the Multi-Match results
May 5, 2025Multi-Match report — Monday night, May 5, 2025: 13 30 36 38 41 42 shows a notable pattern
On Monday night, May 5, 2025, during the Multi-Match draw in Maryland, 13 30 36 38 41 42 resurfaced after a -day drought in Maryland. With an expected cadence of 1 in 6,096,454 draws, the gap sits well beyond typical spacing.
Overview
On Monday night, May 5, 2025, during the Multi-Match draw in Maryland, 13 30 36 38 41 42 resurfaced after a -day drought in Maryland. With an expected cadence of 1 in 6,096,454 draws, the gap sits well beyond typical spacing.
Combo Profile
As a number shape, the outcome shows 6 distinct numbers with no repeats noted. The numbers span 13 to 42, a wide spread.
Why Droughts Matter
Large gaps are descriptive, not forward-looking - they highlight the tail behavior of the system. They help analysts track drift against expected cadence.
Data Notes
Results are evaluated against historical frequency baselines where available. The goal is documentation and context rather than prediction.
From Stepzero
To be clear: this reporting is designed to keep the long-horizon record steady as a reliable record for analysts. 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.
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.
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
With its return, 13 30 36 38 41 42 contributes another meaningful data point to the historical dataset. Each draw - whether routine or statistically unusual - refines the long-term view of how large random systems behave over time.