Pick 4 Results
On Sunday night, May 31, 2026, 9873 came back after 7097 days away in Illinois. With an expected cadence of 1 in 10,000 draws, the gap sits well beyond typical spacing.
Winning numbers for 2 draws on May 31, 2026 in Illinois.
Draw times: Evening, Midday.
Our take on the Pick 4 results
May 31, 2026Pick 4 report — Sunday night, May 31, 2026: 9873 returns after 7,097 days
On Sunday night, May 31, 2026, 9873 came back after 7097 days away in Illinois. With an expected cadence of 1 in 10,000 draws, the gap sits well beyond typical spacing.
Overview
On Sunday night, May 31, 2026, 9873 came back after 7097 days away in Illinois. With an expected cadence of 1 in 10,000 draws, the gap sits well beyond typical spacing.
A Long-Awaited Return
The available record shows 9873 returning after 7097 days. That span is long enough to register as a low-frequency outcome even when the exact prior date is not surfaced.
Combo Profile
In structural terms, the pattern holds 4 distinct digits with no repeats in the pattern. The range sits at 3 to 9, a wide spread.
Why Droughts Matter
Long gaps are context markers, not forward-looking - they record variance across time. They provide a clean read on long-run variance.
Data Notes
This analysis uses the draw results recorded for Sunday night, May 31, 2026 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
Stepzero produces these reports to provide a calm, evidence-first record of how draw patterns unfold over time. The aim is clarity and continuity - a reference point for long-horizon tracking rather than a call to action.
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.
Adding to the Long-Term Record
This result adds a measurable entry to the long-term record. Over time, those entries are what sharpen distribution analysis and reveal whether the system is tracking its expected cadence.