SunderS — Statistics

1 Fr	2 Sa	3 Su	4 Mo	5 Tu	6 We	7 Th	8 Fr	9 Sa	10 Su	11 Mo	12 Tu	13 We	14 Th	15 Fr	16 Sa	17 Su	18 Mo	19 Tu	20 We	21 Th	22 Fr	23 Sa	24 Su	25 Mo	26 Tu	27 We	28 Th	29 Fr	30 Sa	31 Su
1 Fr	2 Sa	3 Su	4 Mo	5 Tu	6 We	7 Th	8 Fr	9 Sa	10 Su	11 Mo	12 Tu	13 We	14 Th	15 Fr	16 Sa	17 Su	18 Mo	19 Tu	20 We	21 Th	22 Fr	23 Sa	24 Su	25 Mo	26 Tu	27 We	28 Th	29 Fr	30 Sa	31 Su

FR • France • 35.82% • 827 nodes
10	6	25	14	8	2	20	10	5	6	50	33	110	39	41	22	17	8	10	116	84	28	11	9	18	12	55	8	25	7	18

AR • Argentina • 17.41% • 402 nodes
0	0	0	0	0	0	0	2	0	1	0	0	0	0	0	0	2	0	0	0	0	0	0	0	1	0	0	33	14	0	349

KZ • Kazakhstan • 12.82% • 296 nodes
0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	198	77	0	0	3	17	0	0	0	0	0	0	0	0	0	0

US • United States of America (USA) • 4.81% • 111 nodes
4	0	16	1	0	0	4	1	0	2	0	0	1	9	4	1	31	9	0	2	0	0	9	3	8	0	2	0	2	1	1

GB • United Kingdom • 4.33% • 100 nodes
1	0	1	3	1	0	5	1	0	1	0	9	1	2	0	0	0	0	1	38	0	3	4	1	1	3	0	0	0	2	22

FI • Finland • 3.12% • 72 nodes
0	0	6	1	0	0	11	0	2	0	2	5	5	0	1	0	0	0	0	10	10	4	0	10	0	0	0	1	2	0	2

CA • Canada • 3.07% • 71 nodes
0	0	3	0	14	6	0	0	0	1	0	0	0	0	0	3	6	1	7	0	1	3	4	8	1	6	1	0	0	2	4

RU • Russia • 2.56% • 59 nodes
0	0	0	0	0	1	2	1	2	0	0	0	0	5	12	2	0	0	2	2	3	0	0	1	0	9	6	10	1	0	0

DE • Germany • 1.60% • 37 nodes
4	0	1	0	2	0	0	0	1	0	0	0	1	2	5	0	2	1	0	0	4	0	3	0	1	0	7	0	0	0	3

IT • Italy • 1.39% • 32 nodes
0	0	0	10	1	1	0	0	5	4	1	0	0	1	0	1	1	0	3	0	0	1	0	1	0	0	0	0	1	0	1

BY • Belarus • 1.34% • 31 nodes
0	0	0	7	0	0	0	0	1	0	0	0	1	0	0	0	0	0	1	0	13	0	5	0	0	0	0	0	0	2	1

RS • Serbia • 1.21% • 28 nodes
1	0	9	0	0	0	1	1	0	0	0	0	0	0	0	0	14	2	0	0	0	0	0	0	0	0	0	0	0	0	0

ES • Spain • 1.13% • 26 nodes
0	0	1	0	0	3	0	0	0	1	0	0	2	1	0	0	0	0	0	12	1	0	1	3	0	0	1	0	0	0	0

GE • Georgia • 0.74% • 17 nodes
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	0	17

AU • Australia • 0.69% • 16 nodes
0	0	0	1	1	0	2	0	0	2	0	0	0	1	1	0	1	0	1	0	0	0	0	0	2	0	0	0	0	0	4

IN • India • 0.65% • 15 nodes
0	0	0	0	0	0	0	0	0	11	0	0	0	0	3	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0

CH • Switzerland • 0.56% • 13 nodes
0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	0	0	7	3	0	0	0	0

PL • Poland • 0.56% • 13 nodes
0	0	5	0	0	0	0	0	1	1	0	0	3	0	0	0	0	0	0	0	0	1	0	0	1	0	0	0	1	0	0

HU • Hungary • 0.52% • 12 nodes
0	0	2	8	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0

AT • Austria • 0.52% • 12 nodes
0	1	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2	1	0	6	0	0	0	0	1	0	0

NO • Norway • 0.48% • 11 nodes
0	1	0	0	0	0	0	0	0	0	0	0	2	1	0	0	0	0	0	0	2	0	3	2	0	0	0	0	0	0	0

NL • Netherlands • 0.43% • 10 nodes
0	0	0	0	0	0	0	0	0	0	0	1	3	0	0	0	0	0	0	6	0	0	0	0	0	0	0	0	0	0	0

GP • Guadeloupe • 0.43% • 10 nodes
0	0	0	0	0	0	0	0	0	0	0	0	5	0	0	0	0	0	0	0	4	0	0	0	1	0	0	0	0	0	0

IE • Ireland • 0.35% • 8 nodes
0	1	1	0	1	0	0	1	0	0	2	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

RO • Romania • 0.30% • 7 nodes
0	0	0	0	0	4	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	2	0	0	0

DK • Denmark • 0.26% • 6 nodes
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	6	0	0	0	0

BE • Belgium • 0.26% • 6 nodes
0	1	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	4

SK • Slovakia • 0.26% • 6 nodes
0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	4

EC • Ecuador • 0.22% • 5 nodes
0	0	0	0	0	0	0	0	2	0	0	0	0	0	2	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0

PT • Portugal • 0.22% • 5 nodes
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	0	1	0	0	0	0	0	0	0	0	2

IQ • Iraq • 0.22% • 5 nodes
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	2	2	0	0	0	0	0

PH • Philippines • 0.22% • 5 nodes
0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	2	0	0	1	0	0	0	0	0	0	0

CZ • Czech Republic • 0.17% • 4 nodes
0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	1	0	0	0	1	0	0	0	0	0

SE • Sweden • 0.13% • 3 nodes
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	1	1	0	0

BR • Brazil • 0.13% • 3 nodes
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	1	0	0	0	0	0	0

PE • Peru • 0.09% • 2 nodes
0	0	0	0	0	0	1	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

GL • Greenland • 0.09% • 2 nodes
0	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

CN • People's Republic of China • 0.09% • 2 nodes
0	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

CL • Chile • 0.09% • 2 nodes
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	1	0

LV • Latvia • 0.09% • 2 nodes
0	0	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	0	0	0	0

LI • Liechtenstein • 0.04% • 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	0

AZ • Azerbaijan • 0.04% • 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	0

JM • Jamaica • 0.04% • 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	0

AO • Angola • 0.04% • 1 node
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	0	0	0	0

JP • Japan • 0.04% • 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	1	0	0	0	0	0	0	0

UZ • Uzbekistan • 0.04% • 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	0

SG • Singapore • 0.04% • 1 node
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	0	0

UA • Ukraine • 0.04% • 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	1	0	0	0	0	0	0

ME • Montenegro • 0.04% • 1 node
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	0	0

BS • Bahamas • 0.04% • 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	0

NZ • New Zealand • 0.04% • 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	0

CV • Cape Verde • 0.04% • 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	0	1	0	0	0

IR • Iran • 0.04% • 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	0	0	1	0	0

BT • Bhutan • 0.04% • 1 node
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	0	0	0	0

AE • United Arab Emirates • 0.04% • 1 node
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	0	0	0

Total • 100% • 2309 nodes
20	10	72	45	29	19	46	18	21	36	56	48	134	62	72	229	155	25	29	190	146	44	41	46	41	41	82	56	49	15	432