Multi-Match Results
On Monday night, November 17, 2025, the Multi-Match draw in Maryland brought 02 04 13 23 30 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 November 17, 2025 in Maryland.
Draw times: Evening.
Our take on the Multi-Match results
November 17, 2025Multi-Match report — Monday night, November 17, 2025: 02 04 13 23 30 42 shows a notable pattern
On Monday night, November 17, 2025, the Multi-Match draw in Maryland brought 02 04 13 23 30 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, November 17, 2025, the Multi-Match draw in Maryland brought 02 04 13 23 30 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
The numbers in 02 04 13 23 30 42 cover a wide range (2 to 42) with no repeats.
Why Droughts Matter
Long gaps function as context, not directional - they show where spacing departs from typical cadence. They help quantify how often outcomes move into the tails.
Data Notes
This analysis uses the draw results recorded for Monday night, November 17, 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 Stepzero, the priority is accuracy and context. This report is intended as a historical record entry, not a 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.
Record-keeping at scale becomes the foundation for analysis. Each outcome, whether typical or unusual, contributes to the stability and clarity of the long-run picture.
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
In long-horizon tracking, this draw adds a fresh entry to the record to the long-run dataset. The long-run picture sharpens as entries accrue.