Multi-Match Results
On Thursday night, March 6, 2025, the Multi-Match draw in Maryland marked a notable return: 06 11 13 21 23 24 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 6,096,454 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Winning numbers for 1 draw on March 6, 2025 in Maryland.
Draw times: Evening.
Our take on the Multi-Match results
March 6, 2025Multi-Match report — Thursday night, March 6, 2025: 06 11 13 21 23 24 shows a notable pattern
On Thursday night, March 6, 2025, the Multi-Match draw in Maryland marked a notable return: 06 11 13 21 23 24 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 6,096,454 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Overview
On Thursday night, March 6, 2025, the Multi-Match draw in Maryland marked a notable return: 06 11 13 21 23 24 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 6,096,454 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Combo Profile
As a number pattern, 06 11 13 21 23 24 uses 6 distinct numbers and a wide spread from 6 to 24.
Why Droughts Matter
Large gaps are best read as context, not predictive - they show where spacing departs from typical cadence. They make variance visible across extended windows.
Data Notes
This analysis uses the draw results recorded for Thursday night, March 6, 2025 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
The core idea: these reports are intended to maintain continuity across the record 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. Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges.
Adding to the Long-Term Record
With its return, 06 11 13 21 23 24 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.