Mega Millions Results
On Tuesday night, May 13, 2025, the Mega Millions draw in West Virginia produced a notable return: 06 29 33 47 68 after days of absence. Against an expected cadence of 1 in 12,103,014 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Winning numbers for 1 draw on May 13, 2025 in West Virginia.
Draw times: Evening.
Our take on the Mega Millions results
May 13, 2025Mega Millions report — Tuesday night, May 13, 2025: 06 29 33 47 68 shows a notable pattern
On Tuesday night, May 13, 2025, the Mega Millions draw in West Virginia produced a notable return: 06 29 33 47 68 after days of absence. Against an expected cadence of 1 in 12,103,014 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Overview
On Tuesday night, May 13, 2025, the Mega Millions draw in West Virginia produced a notable return: 06 29 33 47 68 after days of absence. Against an expected cadence of 1 in 12,103,014 draws, the gap registers as a clear deviation in timing that merits documentation in the historical record.
Combo Profile
As a number pattern, 06 29 33 47 68 uses 5 distinct numbers and a wide spread from 6 to 68.
Why Droughts Matter
Extended absences are best read as context, not a forecast - they show where spacing departs from typical cadence. They help quantify how often outcomes move into the tails.
Data Notes
This analysis uses the draw results recorded for Tuesday night, May 13, 2025 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
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
This result adds a measurable entry to the long-term record. Over time, those entries are what sharpen distribution analysis and reveal whether the system is tracking its expected cadence.