Mega Millions Results
On Tuesday night, October 17, 2023, for Massachusetts's Mega Millions draw, 05 06 29 32 61 returned after days without an appearance in Massachusetts. Against the expected cadence of 1 in 12,103,014 draws, the interval is well beyond typical spacing.
Winning numbers for 1 draw on October 17, 2023 in Massachusetts.
Draw times: Evening.
Our take on the Mega Millions results
October 17, 2023Mega Millions report — Tuesday night, October 17, 2023: 05 06 29 32 61 shows a notable pattern
On Tuesday night, October 17, 2023, for Massachusetts's Mega Millions draw, 05 06 29 32 61 returned after days without an appearance in Massachusetts. Against the expected cadence of 1 in 12,103,014 draws, the interval is well beyond typical spacing.
Overview
On Tuesday night, October 17, 2023, for Massachusetts's Mega Millions draw, 05 06 29 32 61 returned after days without an appearance in Massachusetts. Against the expected cadence of 1 in 12,103,014 draws, the interval is well beyond typical spacing.
Combo Profile
Beyond the drought, the numbers show a clean structure: 5 distinct numbers with no repeats, spanning 5 to 61 (wide spread).
Why Droughts Matter
Extended gaps are descriptive, not forward-looking - they show where spacing departs from typical cadence. They help analysts track drift against expected cadence.
Data Notes
This analysis uses the draw results recorded for Tuesday night, October 17, 2023 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
The core idea: this series is designed to keep the long-horizon record steady as a calm, evidence-first reference. The aim is a trustworthy record.
Additional Context
Context improves with scale. As more draws accumulate, isolated anomalies either normalize into baseline rates or reveal persistent deviations that warrant closer monitoring.
Stability comes from the accumulation of entries. One draw alone does not define the pattern, but the record grows more reliable with each addition to the dataset.
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
In the broader record, 05 06 29 32 61 contributes one more record entry to the historical dataset. It is the cumulative record that makes analysis stable.