Mega Millions Results
On Friday night, June 14, 2024, during the Mega Millions draw in Massachusetts, 01 25 26 31 65 showed up again after days out of the results in Massachusetts results. The gap is large relative to 1 in 12,103,014 draws, placing it deep in the tail.
Winning numbers for 1 draw on June 14, 2024 in Massachusetts.
Draw times: Evening.
Our take on the Mega Millions results
June 14, 2024Mega Millions report — Friday night, June 14, 2024: 01 25 26 31 65 shows a notable pattern
On Friday night, June 14, 2024, during the Mega Millions draw in Massachusetts, 01 25 26 31 65 showed up again after days out of the results in Massachusetts results. The gap is large relative to 1 in 12,103,014 draws, placing it deep in the tail.
Overview
On Friday night, June 14, 2024, during the Mega Millions draw in Massachusetts, 01 25 26 31 65 showed up again after days out of the results in Massachusetts results. The gap is large relative to 1 in 12,103,014 draws, placing it deep in the tail.
Combo Profile
As a number pattern, 01 25 26 31 65 uses 5 distinct numbers and a wide spread from 1 to 65.
Why Droughts Matter
A long drought is descriptive rather than predictive. It records variance across time and helps analysts evaluate whether outcomes are tracking within expected frequency bands or drifting into the tails of the distribution.
Data Notes
This analysis uses the draw results recorded for Friday night, June 14, 2024 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
At its core: this reporting is designed to keep the long-horizon record steady as a stable reference point. The aim is a trustworthy record.
Additional Context
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
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.