Mega Millions Results
On Friday night, February 6, 2026, the Mega Millions draw in Ohio produced a notable return: 13 21 25 52 62 after days of absence. The length of the gap places this result beyond typical spacing, making it a meaningful entry for long-term distribution tracking.
Winning numbers for 1 draw on February 6, 2026 in Ohio.
Draw times: Evening.
Our take on the Mega Millions results
February 6, 2026Mega Millions report — Friday night, February 6, 2026: 13 21 25 52 62 shows a notable pattern
On Friday night, February 6, 2026, the Mega Millions draw in Ohio produced a notable return: 13 21 25 52 62 after days of absence. The length of the gap places this result beyond typical spacing, making it a meaningful entry for long-term distribution tracking.
Overview
On Friday night, February 6, 2026, the Mega Millions draw in Ohio produced a notable return: 13 21 25 52 62 after days of absence. The length of the gap places this result beyond typical spacing, making it a meaningful entry for long-term distribution tracking.
Combo Profile
Beyond the drought, the digits show a clean structure: 5 distinct digits with no repeats, spanning 13 to 62 (wide spread).
Why Droughts Matter
A long drought is descriptive rather than predictive. It records variance across time and helps analysts evaluate whether outcomes are tracking within expected frequency bands or drifting into the tails of the distribution.
Data Notes
This analysis uses the draw results recorded for Friday night, February 6, 2026 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
The core idea: this series is designed to maintain continuity across the record as a calm, evidence-first reference. The aim is context, not a call to action.
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. Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges.
Adding to the Long-Term Record
From a long-horizon view, this draw extends the historical ledger to the long-run dataset. The record gains clarity as entries accumulate.