Multi-Match Results
On Monday night, February 16, 2026, 11 13 16 19 24 29 resurfaced after days out of the results in the Maryland record. Against the expected cadence of 1 in 6,096,454 draws, the interval is well beyond typical spacing.
Winning numbers for 1 draw on February 16, 2026 in Maryland.
Draw times: Evening.
Our take on the Multi-Match results
February 16, 2026Multi-Match report — Monday night, February 16, 2026: 11 13 16 19 24 29 shows a notable pattern
On Monday night, February 16, 2026, 11 13 16 19 24 29 resurfaced after days out of the results in the Maryland record. Against the expected cadence of 1 in 6,096,454 draws, the interval is well beyond typical spacing.
Overview
On Monday night, February 16, 2026, 11 13 16 19 24 29 resurfaced after days out of the results in the Maryland record. Against the expected cadence of 1 in 6,096,454 draws, the interval is well beyond typical spacing.
Combo Profile
Beyond the drought, the numbers show a clean structure: 6 distinct numbers with no repeats, spanning 11 to 29 (wide spread).
Why Droughts Matter
Extended gaps are descriptive, not forward-looking - they show how distribution tails behave. They clarify how far outcomes drift from baseline cadence.
Data Notes
This analysis uses the draw results recorded for Monday night, February 16, 2026 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
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
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.
Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to expected ranges.
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, 11 13 16 19 24 29 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.