Tri-State Megabucks Results
On Saturday night, February 7, 2026, the Tri-State Megabucks draw in New Hampshire marked a notable return: 09 15 16 20 24 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 749,398 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Winning numbers for 1 draw on February 7, 2026 in New Hampshire.
Draw times: Evening.
Our take on the Tri-State Megabucks results
February 7, 2026Tri-State Megabucks report — Saturday night, February 7, 2026: 09 15 16 20 24 shows a notable pattern
On Saturday night, February 7, 2026, the Tri-State Megabucks draw in New Hampshire marked a notable return: 09 15 16 20 24 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 749,398 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Overview
On Saturday night, February 7, 2026, the Tri-State Megabucks draw in New Hampshire marked a notable return: 09 15 16 20 24 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 749,398 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Combo Profile
The numbers in 09 15 16 20 24 cover a wide range (9 to 24) 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
The method: this report summarizes the results logged for Saturday night, February 7, 2026 and benchmarks them against historical frequency baselines. This is documentation, not a forecast.
From Stepzero
At Stepzero, the priority is accuracy and context. This report is intended as a historical record entry, not a forecast.
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.
Long-horizon tracking is the only reliable way to separate short-term noise from persistent drift. By logging each outcome against its expected cadence, the system builds a distribution profile that becomes more stable as the sample grows.
Adding to the Long-Term Record
Over the broader record, this return adds another data point to the long-horizon record. Reliability is a function of the growing record.