Tri-State Gimme 5 Results
On Thursday night, March 19, 2026 in New Hampshire, 03 05 15 17 28 reappeared following a -day absence in New Hampshire. By the expected cadence of 1 in 575,757 draws, the interval is a long-gap event.
Winning numbers for 1 draw on March 19, 2026 in New Hampshire.
Draw times: Evening.
Our take on the Tri-State Gimme 5 results
March 19, 2026Tri-State Gimme 5 report — Thursday night, March 19, 2026: 03 05 15 17 28 shows a notable pattern
On Thursday night, March 19, 2026 in New Hampshire, 03 05 15 17 28 reappeared following a -day absence in New Hampshire. By the expected cadence of 1 in 575,757 draws, the interval is a long-gap event.
Overview
On Thursday night, March 19, 2026 in New Hampshire, 03 05 15 17 28 reappeared following a -day absence in New Hampshire. By the expected cadence of 1 in 575,757 draws, the interval is a long-gap event.
Combo Profile
From a number-profile view, the pattern holds 5 distinct numbers with no repeats noted. Its range is 3 to 28 with a wide spread.
Why Droughts Matter
Deep gaps remain descriptive, not a forecast - they highlight the tail behavior of the system. Their value is in long-horizon tracking.
Data Notes
Specifically: this analysis summarizes the results logged for Thursday night, March 19, 2026 and compares them to historical cadence. It is context-focused, 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
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. Stability comes from the accumulation of entries. One draw alone does not define the pattern, but the record grows more reliable with each addition to the dataset.
Adding to the Long-Term Record
With its return, 03 05 15 17 28 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.