SunderS — Statistics

IT • Italy

28.34% • 123 nodes

FR • France

9.45% • 41 nodes

US • United States of America (USA)

9.22% • 40 nodes

GB • United Kingdom

8.99% • 39 nodes

DE • Germany

7.83% • 34 nodes

BR • Brazil

5.07% • 22 nodes

FI • Finland

5.07% • 22 nodes

RU • Russia

3.69% • 16 nodes

BY • Belarus

2.76% • 12 nodes

HU • Hungary

2.30% • 10 nodes

IT • Italy

28.34% • 123 nodes

FR • France

9.45% • 41 nodes

US • United States of America (USA)

9.22% • 40 nodes

GB • United Kingdom

8.99% • 39 nodes

DE • Germany

7.83% • 34 nodes

BR • Brazil

5.07% • 22 nodes

FI • Finland

5.07% • 22 nodes

RU • Russia

3.69% • 16 nodes

BY • Belarus

2.76% • 12 nodes

HU • Hungary

2.30% • 10 nodes

BD • Bangladesh

2.30% • 10 nodes

JP • Japan

1.61% • 7 nodes

UZ • Uzbekistan

1.38% • 6 nodes

IN • India

1.15% • 5 nodes

AO • Angola

1.15% • 5 nodes

CN • People's Republic of China

0.92% • 4 nodes

ES • Spain

0.69% • 3 nodes

IR • Iran

0.69% • 3 nodes

NL • Netherlands

0.69% • 3 nodes

SK • Slovakia

0.69% • 3 nodes

TH • Thailand

0.46% • 2 nodes

PH • Philippines

0.46% • 2 nodes

AT • Austria

0.46% • 2 nodes

MD • Moldova

0.46% • 2 nodes

UA • Ukraine

0.46% • 2 nodes

VN • Vietnam

0.46% • 2 nodes

NO • Norway

0.46% • 2 nodes

HR • Croatia

0.23% • 1 node

ID • Indonesia

0.23% • 1 node

MA • Morocco

0.23% • 1 node

CU • Cuba

0.23% • 1 node

CA • Canada

0.23% • 1 node

GR • Greece

0.23% • 1 node

CO • Colombia

0.23% • 1 node

AR • Argentina

0.23% • 1 node

EC • Ecuador

0.23% • 1 node

CH • Switzerland

0.23% • 1 node

TR • Turkey

0.23% • 1 node

BE • Belgium

0.23% • 1 node

area: not specified • type: camera • worldwide
year: 2019 • month: October

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

IT • Italy • 28.34% • 123 nodes
0	0	0	0	1	0	0	0	0	0	0	0	0	17	4	2	0	0	0	4	0	0	0	0	0	0	1	13	20	46	15

FR • France • 9.45% • 41 nodes
0	0	0	0	0	0	0	0	0	0	0	0	1	2	0	2	0	0	0	0	0	0	0	1	0	0	0	0	1	1	33

US • United States of America (USA) • 9.22% • 40 nodes
0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	7	1	0	0	0	0	14	1	0	2	0	14	0	0	0	0

GB • United Kingdom • 8.99% • 39 nodes
0	1	0	0	0	0	0	1	0	0	0	1	0	0	1	0	0	2	0	0	1	0	0	2	19	8	0	3	0	0	0

DE • Germany • 7.83% • 34 nodes
0	0	1	23	0	3	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	2	0	0	1	1	0	0	0

BR • Brazil • 5.07% • 22 nodes
0	0	0	0	0	0	0	0	0	0	0	0	0	17	0	0	0	0	0	1	0	4	0	0	0	0	0	0	0	0	0

FI • Finland • 5.07% • 22 nodes
0	0	0	0	0	0	0	0	10	0	0	0	8	0	3	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0

RU • Russia • 3.69% • 16 nodes
0	0	0	0	0	0	1	0	0	0	0	0	12	1	0	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0

BY • Belarus • 2.76% • 12 nodes
0	0	0	0	2	1	0	0	0	0	0	0	0	0	0	0	0	6	0	0	0	0	0	0	0	0	2	0	0	0	1

HU • Hungary • 2.30% • 10 nodes
1	1	0	0	0	0	0	1	0	0	0	0	4	0	0	0	0	0	0	2	0	0	0	1	0	0	0	0	0	0	0

BD • Bangladesh • 2.30% • 10 nodes
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	3	1	6	0	0	0	0	0	0	0	0	0

JP • Japan • 1.61% • 7 nodes
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2	0	3	0	0	0	0	0	1	1	0	0	0	0

UZ • Uzbekistan • 1.38% • 6 nodes
0	0	0	0	0	0	0	0	0	0	6	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

IN • India • 1.15% • 5 nodes
0	0	0	0	3	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0

AO • Angola • 1.15% • 5 nodes
0	0	0	0	0	0	1	0	4	0	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 • 0.92% • 4 nodes
0	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

ES • Spain • 0.69% • 3 nodes
0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	1	0	0	0	0	0	0	0	0

IR • Iran • 0.69% • 3 nodes
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	1	0	0	0	0	1

NL • Netherlands • 0.69% • 3 nodes
0	0	0	0	0	0	0	0	0	0	0	0	0	3	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

SK • Slovakia • 0.69% • 3 nodes
0	0	0	0	0	0	1	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

TH • Thailand • 0.46% • 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	1	0	0	0

PH • Philippines • 0.46% • 2 nodes
0	0	0	0	1	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

AT • Austria • 0.46% • 2 nodes
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	0	0	0	0	0	0

MD • Moldova • 0.46% • 2 nodes
1	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

UA • Ukraine • 0.46% • 2 nodes
0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

VN • Vietnam • 0.46% • 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

NO • Norway • 0.46% • 2 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	0	0	0	0	0	0	0

HR • Croatia • 0.23% • 1 node
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	0

ID • Indonesia • 0.23% • 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

MA • Morocco • 0.23% • 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

CU • Cuba • 0.23% • 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	0

CA • Canada • 0.23% • 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

GR • Greece • 0.23% • 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

CO • Colombia • 0.23% • 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

AR • Argentina • 0.23% • 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

EC • Ecuador • 0.23% • 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

CH • Switzerland • 0.23% • 1 node
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	0

TR • Turkey • 0.23% • 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

BE • Belgium • 0.23% • 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	0

Total • 100% • 434 nodes
2	3	2	25	7	8	5	6	15	2	7	4	25	41	9	13	2	10	0	14	5	26	4	8	23	10	19	20	22	47	50