SunderS — Statistics

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

FR • France • 25.68% • 216 nodes
11	9	7	8	4	0	9	5	2	59	29	1	7	4	3	0	5	1	1	20	4	2	4	4	3	0	5	2	6	1	0

DE • Germany • 11.89% • 100 nodes
8	15	1	5	12	3	13	2	1	1	1	1	0	1	1	0	3	0	0	4	0	2	2	0	0	0	0	7	12	1	4

US • United States of America (USA) • 11.30% • 95 nodes
4	0	1	0	1	0	10	0	0	5	0	12	1	3	17	0	4	0	1	3	3	1	0	1	12	3	6	2	0	3	2

IT • Italy • 5.23% • 44 nodes
4	1	0	0	0	1	2	2	1	1	0	0	0	0	2	0	0	1	1	1	1	1	0	0	1	1	2	13	1	1	6

RU • Russia • 4.52% • 38 nodes
0	0	0	1	3	3	0	0	11	0	0	0	0	8	0	0	4	2	0	2	0	1	1	0	1	0	0	0	0	1	0

CA • Canada • 3.80% • 32 nodes
0	0	0	0	5	1	1	1	2	0	0	3	2	0	0	1	3	1	0	2	0	1	0	1	0	0	0	2	1	0	5

PL • Poland • 3.09% • 26 nodes
0	1	0	0	0	0	1	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	4	0	2	17	0	0	0	0	0

BE • Belgium • 2.14% • 18 nodes
0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	10	2	2	0	0	0	0	2	0	0

GB • United Kingdom • 2.14% • 18 nodes
0	0	1	0	1	0	0	0	0	0	1	0	0	1	2	1	0	0	1	3	0	1	0	0	2	0	0	2	2	0	0

NL • Netherlands • 1.78% • 15 nodes
5	0	0	0	0	0	0	0	0	0	1	3	1	0	0	0	0	0	0	3	0	0	1	1	0	0	0	0	0	0	0

CN • People's Republic of China • 1.78% • 15 nodes
0	0	0	0	0	0	0	0	0	0	0	1	3	0	0	8	0	0	1	0	0	0	0	0	0	2	0	0	0	0	0

IN • India • 1.66% • 14 nodes
0	6	4	0	0	0	0	0	0	1	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	0	0

BR • Brazil • 1.66% • 14 nodes
0	0	0	3	0	0	2	0	0	1	0	0	0	0	0	0	0	0	0	1	1	3	0	0	1	0	0	0	0	2	0

HU • Hungary • 1.66% • 14 nodes
0	0	0	5	0	0	0	0	0	1	0	0	0	0	4	0	0	1	1	0	1	0	1	0	0	0	0	0	0	0	0

SE • Sweden • 1.55% • 13 nodes
0	0	0	0	0	1	1	0	0	0	0	0	0	0	5	0	0	6	0	0	0	0	0	0	0	0	0	0	0	0	0

SK • Slovakia • 1.43% • 12 nodes
1	0	0	0	0	0	0	0	1	0	0	0	0	0	6	0	0	0	0	0	2	0	0	0	0	1	0	0	0	1	0

CH • Switzerland • 1.31% • 11 nodes
6	0	0	1	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	1	0	0

NZ • New Zealand • 1.31% • 11 nodes
0	0	0	0	0	0	0	5	2	0	0	0	0	2	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0	0

EE • Estonia • 1.19% • 10 nodes
0	0	1	0	4	4	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

JP • Japan • 1.19% • 10 nodes
0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	3	0	4	0	2	0	0

ES • Spain • 1.07% • 9 nodes
0	0	0	1	0	0	0	0	0	2	1	0	2	0	0	1	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1

MX • Mexico • 0.95% • 8 nodes
0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2	4	0	1	0	0	0	0	0	0	0

LV • Latvia • 0.83% • 7 nodes
2	0	0	0	1	0	0	0	0	1	0	2	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0

ID • Indonesia • 0.83% • 7 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	7	0	0	0	0	0	0

UA • Ukraine • 0.83% • 7 nodes
4	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	1	0	0

AT • Austria • 0.71% • 6 nodes
0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	2	0	0	0	3	0	0	0	0	0	0	0	0	0

CO • Colombia • 0.59% • 5 nodes
0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	3	0	0	0	0	1	0	0

CY • Cyprus • 0.59% • 5 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	4	0	1	0	0	0

AU • Australia • 0.59% • 5 nodes
0	0	0	0	0	0	0	0	0	0	1	0	2	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	1	0	0

IR • Iran • 0.59% • 5 nodes
0	3	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	0	0	0	0

PT • Portugal • 0.48% • 4 nodes
0	0	0	0	0	0	0	0	0	0	0	0	0	0	4	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

IE • Ireland • 0.48% • 4 nodes
0	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0	0

NO • Norway • 0.36% • 3 nodes
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	2	0	0

KR • South Korea • 0.36% • 3 nodes
1	0	0	0	0	0	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

GH • Ghana • 0.36% • 3 nodes
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	2	0	0	0	0	0	0	0	0	0	0	0	0

MY • Malaysia • 0.36% • 3 nodes
0	0	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

FI • Finland • 0.36% • 3 nodes
0	0	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0

PH • Philippines • 0.36% • 3 nodes
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	1	0	0	1	0	0

BG • Bulgaria • 0.24% • 2 nodes
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0

BY • Belarus • 0.24% • 2 nodes
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	1	0

CL • Chile • 0.24% • 2 nodes
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	1

IQ • Iraq • 0.24% • 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	0	0	0	2	0	0	0

CZ • Czech Republic • 0.24% • 2 nodes
0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0

TR • Turkey • 0.24% • 2 nodes
0	0	0	0	0	1	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

PK • Pakistan • 0.24% • 2 nodes
0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0

HR • Croatia • 0.12% • 1 node
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	0

AR • Argentina • 0.12% • 1 node
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	0	0

TH • Thailand • 0.12% • 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

LT • Lithuania • 0.12% • 1 node
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	0

AZ • Azerbaijan • 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	0

RO • Romania • 0.12% • 1 node
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	0

PY • Paraguay • 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	0	0	1	0	0

ME • Montenegro • 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	1	0	0	0	0	0	0	0	0	0

SG • Singapore • 0.12% • 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

BA • Bosnia and Herzegovina • 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	0	0	0	1	0

SI • Slovenia • 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	0

Total • 100% • 841 nodes
46	37	19	24	31	18	42	21	23	72	37	23	20	21	44	14	20	18	9	42	19	31	16	14	35	30	18	31	35	12	19