Multi-Match Results
On Thursday night, October 24, 2024, for Maryland's Multi-Match draw, 13 16 33 36 40 42 reappeared after a -day drought in Maryland. Given an expected cadence of 1 in 6,096,454 draws, the interval lands deep in the long-gap tail.
Winning numbers for 1 draw on October 24, 2024 in Maryland.
Draw times: Evening.
Our take on the Multi-Match results
October 24, 2024Multi-Match report — Thursday night, October 24, 2024: 13 16 33 36 40 42 shows a notable pattern
On Thursday night, October 24, 2024, for Maryland's Multi-Match draw, 13 16 33 36 40 42 reappeared after a -day drought in Maryland. Given an expected cadence of 1 in 6,096,454 draws, the interval lands deep in the long-gap tail.
Overview
On Thursday night, October 24, 2024, for Maryland's Multi-Match draw, 13 16 33 36 40 42 reappeared after a -day drought in Maryland. Given an expected cadence of 1 in 6,096,454 draws, the interval lands deep in the long-gap tail.
Combo Profile
The numbers in 13 16 33 36 40 42 cover a wide range (13 to 42) with no repeats.
Why Droughts Matter
Extended absences like this provide context, not direction. They show how randomness behaves across large samples and help analysts quantify how often the system deviates from its baseline cadence.
Data Notes
This analysis uses the draw results recorded for Thursday night, October 24, 2024 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
Simply put: this series is designed to keep the record consistent over time as a reliable record for analysts. The focus is long-horizon context.
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.
Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges.
Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to expected ranges.
Adding to the Long-Term Record
This result adds a measurable entry to the long-term record. Over time, those entries are what sharpen distribution analysis and reveal whether the system is tracking its expected cadence.