Multi-Match Results
On Monday night, December 15, 2025, the Multi-Match draw in Maryland produced a notable return: 07 13 14 17 29 38 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 December 15, 2025 in Maryland.
Draw times: Evening.
Our take on the Multi-Match results
December 15, 2025Multi-Match report — Monday night, December 15, 2025: 07 13 14 17 29 38 shows a notable pattern
On Monday night, December 15, 2025, the Multi-Match draw in Maryland produced a notable return: 07 13 14 17 29 38 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 Monday night, December 15, 2025, the Multi-Match draw in Maryland produced a notable return: 07 13 14 17 29 38 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
In terms of number structure, the pattern has 6 distinct numbers while showing no repeats. The numbers run from 7 to 38 with a wide range.
Why Droughts Matter
Extended absences are best read as context, not forward-looking - they show where spacing departs from typical cadence. They provide a clean read on long-run variance.
Data Notes
Specifically: this report records outcomes logged on Monday night, December 15, 2025 with comparison to long-run frequency baselines. The focus is documentation over prediction.
From Stepzero
Stepzero focuses on documenting distribution behavior over large samples. Each report is a snapshot of observed outcomes, designed to support disciplined, long-term analysis.
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. 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, 07 13 14 17 29 38 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.