Distribution in quadrants

Distribution of drawn numbers in each quadrant

Choose the quadrant

Quadrant 3

51-55, 61-65, 71-75, 81-85, 91-95

Quantity drawn in the quadrant

Actual frequency

Expected frequency

137

348

563

657

465

339

131

Quantity drawn in the quadrant	Actual occurrences	Expected occurrences	Last draw	Shortest interval	Longest interval	Current interval	Average interval
0	3	4	2115	242	1054	652	705.00
1	40	37	2767	1	268	0	69.18
2	137	148	2761	1	150	6	20.15
3	348	352	2766	1	54	1	7.95
4	563	558	2764	1	31	3	4.91
5	657	625	2756	1	23	11	4.19
6	465	512	2758	1	31	9	5.93
7	339	314	2759	1	55	8	8.14
8	131	145	2765	1	98	2	21.11
9	64	51	2739	2	249	28	42.80
10	18	13	2695	22	750	72	149.72
11	2	2	2595	674	1921	172	1297.50
12	0	0				2767	0.00
13	0	0				2767	0.00
14	0	0				2767	0.00
15	0	0				2767	0.00
16	0	0				2767	0.00
17	0	0				2767	0.00
18	0	0				2767	0.00
19	0	0				2767	0.00
20	0	0				2767	0.00

The table shows data on the quantity of drawn numbers in each quadrant, considering all draws of lotomania (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.