SunderS — Statistics

1 Th	2 Fr	3 Sa	4 Su	5 Mo	6 Tu	7 We	8 Th	9 Fr	10 Sa	11 Su	12 Mo	13 Tu	14 We	15 Th	16 Fr	17 Sa	18 Su	19 Mo	20 Tu	21 We	22 Th	23 Fr	24 Sa	25 Su	26 Mo	27 Tu	28 We	29 Th	30 Fr
1 Th	2 Fr	3 Sa	4 Su	5 Mo	6 Tu	7 We	8 Th	9 Fr	10 Sa	11 Su	12 Mo	13 Tu	14 We	15 Th	16 Fr	17 Sa	18 Su	19 Mo	20 Tu	21 We	22 Th	23 Fr	24 Sa	25 Su	26 Mo	27 Tu	28 We	29 Th	30 Fr

FR • France • 17.18% • 144 nodes
1	1	2	9	2	0	5	5	3	14	0	5	4	5	4	17	2	1	2	9	2	5	9	0	11	2	7	8	8	1

RU • Russia • 16.35% • 137 nodes
0	0	0	0	0	0	0	1	7	0	26	0	0	4	2	30	1	1	24	1	1	26	3	0	1	0	0	0	6	3

ES • Spain • 15.16% • 127 nodes
0	0	0	0	1	0	0	0	0	0	0	0	0	2	0	0	0	1	26	12	63	18	0	0	0	0	2	0	2	0

DE • Germany • 6.09% • 51 nodes
1	1	2	1	3	2	4	3	0	2	1	3	1	0	0	0	0	1	1	9	2	9	2	2	0	0	1	0	0	0

CA • Canada • 4.77% • 40 nodes
0	0	2	1	0	0	0	2	3	2	0	0	0	0	0	0	1	0	0	0	0	0	1	18	2	1	0	0	0	7

GB • United Kingdom • 4.65% • 39 nodes
1	2	0	0	1	0	0	2	1	0	0	1	5	1	1	0	6	0	3	1	3	2	0	1	0	0	0	0	2	6

HU • Hungary • 3.58% • 30 nodes
1	0	0	0	0	0	0	1	0	0	0	0	20	1	0	0	0	0	0	0	0	0	1	2	0	0	0	0	0	4

PL • Poland • 3.46% • 29 nodes
0	4	0	0	0	1	1	0	0	1	3	0	0	1	1	0	0	3	0	0	3	1	0	0	3	0	4	1	0	2

US • United States of America (USA) • 3.22% • 27 nodes
1	0	0	2	0	0	1	1	0	0	0	0	1	1	0	0	1	4	5	0	0	0	0	0	6	1	1	2	0	0

IT • Italy • 3.22% • 27 nodes
2	2	1	0	0	0	2	1	0	1	0	0	0	3	1	0	1	5	3	0	2	0	1	0	2	0	0	0	0	0

MX • Mexico • 2.63% • 22 nodes
0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	6	0	15	0	0	0	0	0	0

AO • Angola • 2.15% • 18 nodes
0	1	0	0	6	0	1	0	0	0	0	0	0	0	0	0	0	0	1	4	2	0	3	0	0	0	0	0	0	0

BR • Brazil • 1.91% • 16 nodes
0	0	0	0	0	0	0	0	0	0	12	0	0	0	0	0	0	0	0	0	2	1	0	0	0	1	0	0	0	0

CR • Costa Rica • 1.67% • 14 nodes
0	0	0	0	7	0	0	0	0	0	0	0	0	0	0	0	0	7	0	0	0	0	0	0	0	0	0	0	0	0

AR • Argentina • 1.67% • 14 nodes
0	0	9	0	0	1	1	0	0	0	0	3	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

CO • Colombia • 0.95% • 8 nodes
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	7	0	0	0	0	1	0	0	0

PY • Paraguay • 0.84% • 7 nodes
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	2	0	0	0	0	0	1	3	0	0	0	0

AU • Australia • 0.72% • 6 nodes
0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2	0

BY • Belarus • 0.60% • 5 nodes
0	0	0	0	2	2	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

NL • Netherlands • 0.60% • 5 nodes
0	0	0	0	0	0	2	1	0	0	0	0	0	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0

KZ • Kazakhstan • 0.60% • 5 nodes
0	0	0	0	4	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0

CN • People's Republic of China • 0.60% • 5 nodes
0	0	0	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0	1	2	0	0	0	0

BE • Belgium • 0.48% • 4 nodes
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	2	0	0	0	0

CZ • Czech Republic • 0.48% • 4 nodes
0	0	0	0	4	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

UA • Ukraine • 0.48% • 4 nodes
0	0	0	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0

IR • Iran • 0.48% • 4 nodes
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	3	0	0	1	0	0	0	0	0	0	0	0	0	0

NO • Norway • 0.36% • 3 nodes
0	0	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0

CL • Chile • 0.36% • 3 nodes
0	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0

AT • Austria • 0.36% • 3 nodes
0	0	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0

AZ • Azerbaijan • 0.36% • 3 nodes
0	0	0	3	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

LV • Latvia • 0.36% • 3 nodes
0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	0

IN • India • 0.24% • 2 nodes
2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

FI • Finland • 0.24% • 2 nodes
0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0

UZ • Uzbekistan • 0.24% • 2 nodes
0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

NZ • New Zealand • 0.24% • 2 nodes
0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

EC • Ecuador • 0.24% • 2 nodes
0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0

JP • Japan • 0.24% • 2 nodes
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0	0	0

MY • Malaysia • 0.12% • 1 node
0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

KR • South Korea • 0.12% • 1 node
0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

UG • Uganda • 0.12% • 1 node
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0

CD • Democratic Republic of the Congo • 0.12% • 1 node
0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

SI • Slovenia • 0.12% • 1 node
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0

BA • Bosnia and Herzegovina • 0.12% • 1 node
0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

DK • Denmark • 0.12% • 1 node
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0

CU • Cuba • 0.12% • 1 node
0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

EG • Egypt • 0.12% • 1 node
0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

RO • Romania • 0.12% • 1 node
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0

IE • Ireland • 0.12% • 1 node
0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

AE • United Arab Emirates • 0.12% • 1 node
0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

UY • Uruguay • 0.12% • 1 node
1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

EE • Estonia • 0.12% • 1 node
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0

HK • Hong Kong • 0.12% • 1 node
1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

TW • Taiwan (Republic of China) • 0.12% • 1 node
0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

ID • Indonesia • 0.12% • 1 node
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0

TR • Turkey • 0.12% • 1 node
0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

CH • Switzerland • 0.12% • 1 node
0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

Total • 100% • 838 nodes
11	19	18	18	36	9	18	20	17	21	42	15	32	19	10	49	16	23	72	38	81	75	22	39	29	13	19	12	22	23