SuperLotto Plus Results
On Wednesday night, December 3, 2025, the SuperLotto Plus draw in California marked a notable return: 04 11 19 23 24 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 December 3, 2025 in California.
Draw times: Evening.
Our take on the SuperLotto Plus results
December 3, 2025SuperLotto Plus report — Wednesday night, December 3, 2025: 04 11 19 23 24 shows a notable pattern
On Wednesday night, December 3, 2025, the SuperLotto Plus draw in California marked a notable return: 04 11 19 23 24 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, December 3, 2025, the SuperLotto Plus draw in California marked a notable return: 04 11 19 23 24 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
As a number pattern, 04 11 19 23 24 uses 5 distinct numbers and a wide spread from 4 to 24.
Why Droughts Matter
Deep gaps are context, not a forecast - they show how distribution tails behave. They help quantify how often outcomes move into the tails.
Data Notes
This analysis uses the draw results recorded for Wednesday night, December 3, 2025 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
Simply put: this series is meant to maintain continuity across the record as context for disciplined analysis. The priority is accuracy and continuity.
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. 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
Across the long-term record, this entry adds another archive entry to the record. Long-horizon stability comes from accumulation.