Distribution in quadrants

Distribution of drawn numbers in each quadrant

Choose the quadrant

Quadrant 1

1-5, 11-15, 21-25, 31-35, 41-45

Quantity drawn in the quadrant

Actual frequency

Expected frequency

152

347

613

687

544

334

163

Quantity drawn in the quadrant	Actual occurrences	Expected occurrences	Last draw	Shortest interval	Longest interval	Current interval	Average interval
0	4	4	2813	152	1666	171	703.25
1	44	39	2935	3	336	49	66.70
2	152	159	2954	1	83	30	19.43
3	347	379	2980	1	52	4	8.59
4	613	602	2970	1	30	14	4.85
5	687	674	2983	1	26	1	4.34
6	544	552	2982	1	30	2	5.48
7	334	338	2984	1	42	0	8.93
8	163	157	2977	1	90	7	18.26
9	82	55	2896	1	275	88	35.32
10	12	15	2824	36	680	160	235.33
11	2	3	1244	337	907	1740	622.00
12	0	0				2984	0.00
13	0	0				2984	0.00
14	0	0				2984	0.00
15	0	0				2984	0.00
16	0	0				2984	0.00
17	0	0				2984	0.00
18	0	0				2984	0.00
19	0	0				2984	0.00
20	0	0				2984	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.