Cash5 Results
On Wednesday night, May 13, 2026, the Cash5 draw in Connecticut marked a notable return: 10 13 26 31 32 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 324,632 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Winning numbers for 1 draw on May 13, 2026 in Connecticut.
Draw times: Evening.
Our take on the Cash5 results
May 13, 2026Cash5 report — Wednesday night, May 13, 2026: 10 13 26 31 32 shows a notable pattern
On Wednesday night, May 13, 2026, the Cash5 draw in Connecticut marked a notable return: 10 13 26 31 32 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 324,632 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Overview
On Wednesday night, May 13, 2026, the Cash5 draw in Connecticut marked a notable return: 10 13 26 31 32 reappeared in the draw after a -day drought. In a system where combinations should surface roughly once every 1 in 324,632 draws, an absence of this length stands out for anyone tracking long-horizon frequency trends.
Combo Profile
The numbers in 10 13 26 31 32 cover a wide range (10 to 32) with no repeats.
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 13, 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
Distribution analysis depends on consistent documentation. Each draw updates the record, allowing analysts to test whether deviations persist, reverse, or revert to expected ranges. Context improves with scale. As more draws accumulate, isolated anomalies either normalize into baseline rates or reveal persistent deviations that warrant closer monitoring.
Adding to the Long-Term Record
With its return, 10 13 26 31 32 contributes another meaningful data point to the historical dataset. Each draw - whether routine or statistically unusual - refines the long-term view of how large random systems behave over time.