Cash5 Results
On Monday night, April 13, 2026, the Cash5 draw in Connecticut marked a notable return: 01 04 20 26 35 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 April 13, 2026 in Connecticut.
Draw times: Evening.
Our take on the Cash5 results
April 13, 2026Cash5 report — Monday night, April 13, 2026: 01 04 20 26 35 shows a notable pattern
On Monday night, April 13, 2026, the Cash5 draw in Connecticut marked a notable return: 01 04 20 26 35 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 Monday night, April 13, 2026, the Cash5 draw in Connecticut marked a notable return: 01 04 20 26 35 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
From a number profile angle, this sequence holds 5 distinct numbers while showing no repeats. The numbers span 1 to 35, a wide spread.
Why Droughts Matter
Droughts do not indicate what will happen next - they simply document what has already occurred. Their value lies in measuring distribution over long horizons and identifying when a combination performs far above or below its expected appearance rate.
Data Notes
This analysis uses the draw results recorded for Monday night, April 13, 2026 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
Importantly: this reporting is built to keep a calm, evidence-first record as context for disciplined analysis. The aim is a trustworthy record.
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. 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
In long-horizon tracking, today's outcome adds one more entry to the archive. Reliability is a function of the growing record.