Tri-State Megabucks Results
On Monday night, February 9, 2026, the Tri-State Megabucks draw in New Hampshire marked a notable return: 04 05 16 20 23 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 9, 2026 in New Hampshire.
Draw times: Evening.
Our take on the Tri-State Megabucks results
February 9, 2026Tri-State Megabucks report — Monday night, February 9, 2026: 04 05 16 20 23 shows a notable pattern
On Monday night, February 9, 2026, the Tri-State Megabucks draw in New Hampshire marked a notable return: 04 05 16 20 23 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 Monday night, February 9, 2026, the Tri-State Megabucks draw in New Hampshire marked a notable return: 04 05 16 20 23 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
Beyond the drought, the numbers show a clean structure: 5 distinct numbers with no repeats, spanning 4 to 23 (wide spread).
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 Monday night, February 9, 2026 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
To be clear: these reports are intended to keep the record consistent over time as a stable reference point. The goal is clarity and stability.
Additional Context
Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their 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
The return of 04 05 16 20 23 expands the archive by one more data point. It is the accumulation of these entries, not a single draw, that defines the reliability of long-horizon analysis.