Pick 4 Results
On Wednesday night, September 17, 2025, in the Wisconsin Pick 4 draw, 5242 showed up after days out of the results for Wisconsin. With an expected cadence of 1 in 10,000 draws, the gap sits well beyond typical spacing.
Winning numbers for 2 draws on September 17, 2025 in Wisconsin.
Draw times: D, Evening.
Our take on the Pick 4 results
September 17, 2025Pick 4 report — Wednesday night, September 17, 2025: 5242 shows a notable pattern
On Wednesday night, September 17, 2025, in the Wisconsin Pick 4 draw, 5242 showed up after days out of the results for Wisconsin. With an expected cadence of 1 in 10,000 draws, the gap sits well beyond typical spacing.
Overview
On Wednesday night, September 17, 2025, in the Wisconsin Pick 4 draw, 5242 showed up after days out of the results for Wisconsin. With an expected cadence of 1 in 10,000 draws, the gap sits well beyond typical spacing.
Combo Profile
As a digit pattern, 5242 uses 3 distinct digits and a moderate spread from 2 to 5.
Why Droughts Matter
Large gaps are best treated as context, not a forecast - they record variance across time. They clarify how far outcomes drift from baseline cadence.
Data Notes
The method: this analysis summarizes results recorded for Wednesday night, September 17, 2025 with comparison to long-run frequency baselines. This is documentation, not a forecast.
From Stepzero
In summary: these reports are built to keep a calm, evidence-first record as a reliable record for analysts. The priority is accuracy and continuity.
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. Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges. 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
Over the broader record, this return adds a fresh entry to the record to the long-run dataset. The record gains clarity as entries accumulate.