Multi-Match Results
On Thursday night, March 28, 2024, the Multi-Match draw in Maryland produced a notable return: 04 09 14 24 31 36 after days of absence. Against an expected cadence of 1 in 6,096,454 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Winning numbers for 1 draw on March 28, 2024 in Maryland.
Draw times: Evening.
Our take on the Multi-Match results
March 28, 2024Multi-Match report — Thursday night, March 28, 2024: 04 09 14 24 31 36 shows a notable pattern
On Thursday night, March 28, 2024, the Multi-Match draw in Maryland produced a notable return: 04 09 14 24 31 36 after days of absence. Against an expected cadence of 1 in 6,096,454 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Overview
On Thursday night, March 28, 2024, the Multi-Match draw in Maryland produced a notable return: 04 09 14 24 31 36 after days of absence. Against an expected cadence of 1 in 6,096,454 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Combo Profile
The numbers in 04 09 14 24 31 36 cover a wide range (4 to 36) with no repeats.
Why Droughts Matter
Extended gaps are best read as context, not prescriptive - they show where spacing departs from typical cadence. They offer context for distribution stability over time.
Data Notes
To clarify: this analysis records outcomes logged on Thursday night, March 28, 2024 with benchmarking against long-run cadence. This is descriptive, not predictive.
From Stepzero
At Stepzero, the priority is accuracy and context. This report is intended as a historical record entry, not a forecast.
Additional Context
Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to 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
With its return, 04 09 14 24 31 36 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.