SuperLotto Plus Results
On Wednesday night, May 6, 2026, the SuperLotto Plus draw in California marked a notable return: 01 03 10 25 46 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 1,533,939 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Winning numbers for 1 draw on May 6, 2026 in California.
Draw times: Evening.
Our take on the SuperLotto Plus results
May 6, 2026SuperLotto Plus report — Wednesday night, May 6, 2026: 01 03 10 25 46 shows a notable pattern
On Wednesday night, May 6, 2026, the SuperLotto Plus draw in California marked a notable return: 01 03 10 25 46 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 1,533,939 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Overview
On Wednesday night, May 6, 2026, the SuperLotto Plus draw in California marked a notable return: 01 03 10 25 46 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 1,533,939 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 1 to 46 (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 report summarizes observed outcomes for Wednesday night, May 6, 2026 and interprets them within the long-run distribution record. It does not imply a forecast or recommendation.
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 measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges. Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to expected ranges.
Adding to the Long-Term Record
The return of 01 03 10 25 46 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.