Football

Mega Millions | Results for Feb 13 | 34 40 49 59 68 (rollover!)

English

Português

Statistics > Mega Millions >

Statistics for Mega Millions

Statistics of real draws

Select the lottery

Select the statistic

Mega Millions statistics only consider draws carried out since April 8, 2025, when the rules/matrix changed (range of white balls and mega balls).

Mega Millions (until the draw 3000 on Feb 17, 2026)

Distribution in quadrants

Distribution of drawn numbers in each quadrant

Choose the quadrant

Quadrant 2

19-35

Quantity drawn in the quadrant

Actual frequency

Expected frequency

Quantity drawn in the quadrant	Actual occurrences	Expected occurrences	Last draw	Shortest interval	Longest interval	Current interval	Average interval
0	25	21	3000	1	2910	0	3.64
1	32	37	2999	1	2912	1	2.81
2	29	23	2998	1	2920	2	3.07
3	5	7	2974	3	2934	26	13.00
4	0	0				3000	0.00
5	0	0				3000	0.00

The table shows data on the quantity of drawn numbers in each quadrant, considering all draws of mega millions (with the current matrix).
Actual occurrences are the real total occurrences of a quantity of numbers in the referred quadrant.
Expected occurrences are the expected occurrences of each quantity of numbers in the referred quadrant, according to mathematical probability.
Last draw is the most recent draw in which that quantity of numbers was drawn in the referred quadrant.
Shortest interval is the shortest gap between draws in which that quantity of numbers was drawn in the referred quadrant.
Longest interval is the longest gap between draws in which that quantity of numbers was drawn in the referred quadrant.
Current interval is the current interval since the last draw in which that quantity of numbers was drawn in the referred quadrant.
Average interval is the general average of intervals between draws in which that quantity of numbers was drawn in the referred quadrant (until the last draw in which that quantity of numbers was drawn in the referred quadrant).
The actual and expected occurrences tend to get closer to each other the largest the sample.