Tri-State Gimme 5 Results
On Tuesday night, March 3, 2026 in Vermont, 06 11 19 20 31 landed again after a -day gap in the Vermont record. By the expected cadence of 1 in 575,757 draws, the interval is a long-gap event.
Winning numbers for 1 draw on March 3, 2026 in Vermont.
Draw times: Evening.
Our take on the Tri-State Gimme 5 results
March 3, 2026Tri-State Gimme 5 report — Tuesday night, March 3, 2026: 06 11 19 20 31 shows a notable pattern
On Tuesday night, March 3, 2026 in Vermont, 06 11 19 20 31 landed again after a -day gap in the Vermont record. By the expected cadence of 1 in 575,757 draws, the interval is a long-gap event.
Overview
On Tuesday night, March 3, 2026 in Vermont, 06 11 19 20 31 landed again after a -day gap in the Vermont record. By the expected cadence of 1 in 575,757 draws, the interval is a long-gap event.
Combo Profile
In structural terms, this result uses 5 distinct numbers with no repeats. The spread runs 6 to 31 (wide).
Why Droughts Matter
Extended absences are context, not prescriptive - they track where outcomes drift from baseline spacing. Their value is in long-horizon tracking.
Data Notes
The method: this analysis summarizes results recorded for Tuesday night, March 3, 2026 and benchmarks them against historical frequency baselines. It is context-focused, not predictive.
From Stepzero
In summary: this reporting is built to keep the record consistent over time as a reliable record for analysts. The focus is long-horizon context.
Additional Context
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.
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
In the broader record, this return extends the historical ledger by one more data point. Stability comes from the growing record, not any one draw.