Powerball Results
On Wednesday night, June 26, 2024, the Powerball draw in Illinois marked a notable return: 04 09 36 47 56 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 11,238,513 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Winning numbers for 1 draw on June 26, 2024 in Illinois.
Draw times: Evening.
Our take on the Powerball results
June 26, 2024Powerball report — Wednesday night, June 26, 2024: 04 09 36 47 56 shows a notable pattern
On Wednesday night, June 26, 2024, the Powerball draw in Illinois marked a notable return: 04 09 36 47 56 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 11,238,513 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Overview
On Wednesday night, June 26, 2024, the Powerball draw in Illinois marked a notable return: 04 09 36 47 56 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 11,238,513 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Combo Profile
As a number pattern, 04 09 36 47 56 uses 5 distinct numbers and a wide spread from 4 to 56.
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 Wednesday night, June 26, 2024 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
In summary: this reporting is designed to keep a calm, evidence-first record as a reliable record for analysts. The goal is clarity and stability.
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
Across the long-horizon record, this result adds another data point by one more data point. Reliability is a function of the growing record.