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Views | | | | Diff | Volume | Size | Title |
54 | 1 | 14 | | 42 k | 41 k | 44 k | Pambansang Daambakal ng Pilipinas |
58 | 2 | 6 | | 41 k | 40 k | 40 k | Craig Taro Gold |
93 | 3 | 15 | | 29 k | 28 k | 28 k | Im Yoon-ah |
29 | 1 | 4 | | 27 k | 27 k | 27 k | Bae Suzy |
26 | 1 | 8 | | 25 k | 25 k | 25 k | Blackpink |
27 | 1 | 2 | | 24 k | 23 k | 23 k | Sheila Marcelo |
67 | 2 | 7 | | 22 k | 21 k | 21 k | Wendell Brown |
| 2 | 12 | 3 | 270 | 21 k | 5.5 k | Estasyon ng Buendia (PNR) |
72 | 2 | 7 | | 19 k | 19 k | 19 k | Kim So-eun |
2 | 1 | 2 | | 19 k | 19 k | 19 k | Anne-Marie (mang-aawit) |
10 | 5 | 7 | | 17 k | 17 k | 17 k | Mr. Vampire |
| 2 | 8 | 1 | 2.4 k | 15 k | 2.3 k | Estasyon ng Dela Rosa |
4 | 1 | 1 | | 15 k | 15 k | 15 k | Keanu Reeves |
| 5 | 9 | | 15 k | 14 k | 14 k | Tintin |
14 | 1 | 4 | | 15 k | 14 k | 14 k | Krystal Jung |
11 | 1 | 4 | | 12 k | 12 k | 12 k | Joy (mang-aawit) |
18 | 3 | 6 | | 9.6 k | 9.4 k | 9.4 k | Kim Go-eun |
33 | 1 | 10 | | 9.1 k | 8.9 k | 8.9 k | Karahanan ng Butuan |
| 1 | 1 | | 8.5 k | 8.3 k | 8.3 k | Kim Ji-soo |
3 | 1 | 1 | | 6.9 k | 6.8 k | 6.8 k | Vijayawada |
2 | 1 | 1 | | 6.9 k | 6.8 k | 6.8 k | Visakhapatnam |
6 | 1 | 1 | | 6.5 k | 6.3 k | 6.3 k | Hajipur |
4 | 1 | 1 | | 6.1 k | 6 k | 6 k | Lynda Carter |
| 1 | 5 | | 6 k | 5.9 k | 5.9 k | Sulat Hanunuo |
18 | 2 | 4 | | 5.8 k | 5.7 k | 5.7 k | Zhang Yixing |
15 | 3 | 12 | 1 | -267 | 5.6 k | 2.4 k | Tall Man |
| 1 | 2 | | 5.6 k | 5.5 k | 5.5 k | Sam Strike |
50 | 1 | 18 | | 5.5 k | 5.4 k | 5.3 k | MNL48 |
2 | 1 | 1 | | 5.5 k | 5.3 k | 5.3 k | Guntur |
3 | 1 | 1 | | 5.4 k | 5.3 k | 5.3 k | Kakinada |
19 | 3 | 9 | | 5.3 k | 5.1 k | 5.1 k | Peek-a-Boo (Red Velvet) |
25 | 2 | 7 | | -4.9 k | 4.9 k | 636 | Sarung Banggi |
9 | 1 | 5 | | 4.9 k | 4.8 k | 4.8 k | Kalye Granada |
4 | 1 | 1 | | 4.9 k | 4.7 k | 4.7 k | Tirupati |
3 | 1 | 1 | | 4.8 k | 4.7 k | 4.7 k | Eluru |
3 | 1 | 1 | | 4.8 k | 4.7 k | 4.7 k | Proddatur |
39 | 3 | 6 | | 4.7 k | 4.7 k | 4.6 k | Gariabania |
14 | 3 | 5 | 1 | 0 | 4.5 k | 3.4 k | Mula Sa Puso |
14 | 2 | 2 | | 4.6 k | 4.5 k | 4.5 k | Edward Heath |
19 | 3 | 3 | 2 | -1.5 k | 4.5 k | 5.9 k | Herusalem |
5 | 1 | 3 | | 4.5 k | 4.4 k | 4.4 k | Olga Buzova |
33 | 2 | 6 | | 4.2 k | 4.4 k | 4.9 k | Hangul |
13 | 2 | 8 | | 4.1 k | 4.3 k | 4 k | Kingsman: The Secret Service |
3 | 1 | 2 | | 4.4 k | 4.3 k | 7.8 k | The Boxtrolls |
5 | 1 | 1 | | 4.3 k | 4.2 k | 4.2 k | Chhapra |
3 | 1 | 1 | | 4.2 k | 4.1 k | 4.1 k | Kadapa |
13 | 1 | 3 | 1 | 872 | 4.1 k | 2.5 k | Godzilla (pelikula ng 1954) |
6 | 1 | 4 | | 1.6 k | 4 k | 1.5 k | Unibersidad ng Canterbury |
4 | 1 | 1 | | 4.1 k | 4 k | 4 k | Raipur |
3 | 1 | 1 | | 4 k | 3.9 k | 3.9 k | Adoni |
3 | 1 | 1 | | 4 k | 3.9 k | 3.9 k | Nellore |
13 | 3 | 5 | | 3.8 k | 3.8 k | 3.7 k | Aliens (pelikula) |
8 | 1 | 1 | | 3.9 k | 3.8 k | 3.8 k | Kumbre ng Dalawang Korea (2018) |
2 | 1 | 1 | | 3.9 k | 3.8 k | 3.8 k | Bhimavaram |
3 | 1 | 1 | | 3.8 k | 3.7 k | 3.7 k | Palakollu |
27 | 1 | 8 | | 3.7 k | 3.7 k | 3.7 k | Korarchaeota |
24 | 1 | 5 | | -3.7 k | 3.7 k | 42 k | North Luzon Expressway |
| 2 | 6 | | 3.8 k | 3.7 k | 3.7 k | Estasyon ng Blumentritt (PNR) |
3 | 1 | 1 | | 3.7 k | 3.6 k | 3.6 k | Machilipatnam |
4 | 1 | 1 | | 3.7 k | 3.6 k | 3.6 k | Rajahmundry |
8 | 1 | 2 | | 1.4 k | 3.6 k | 1.3 k | Unibersidad ng Georgetown |
4 | 1 | 1 | | 3.7 k | 3.6 k | 3.6 k | Purnia |
7 | 2 | 3 | | 3.6 k | 3.6 k | 21 k | Tao (mang-aawit) |
4 | 1 | 1 | | 3.7 k | 3.6 k | 3.6 k | Tenali |
13 | 1 | 8 | | 3.6 k | 3.5 k | 3.5 k | Freddy vs. Jason |
6 | 1 | 2 | | 3.6 k | 3.5 k | 3.5 k | Begusarai |
6 | 1 | 5 | | 3.5 k | 3.4 k | 3.4 k | Robin Hood (pelikula ng 2018) |
2 | 1 | 1 | | 3.5 k | 3.4 k | 3.4 k | Gaya, India |
4 | 1 | 2 | | 35 | 3.4 k | 35 | Kyung Hee University |
4 | 1 | 2 | | 52 | 3.4 k | 52 | Royal Holloway, Unibersidad ng London |
2 | 1 | 1 | | 3.4 k | 3.3 k | 3.3 k | Hindupur |
3 | 1 | 1 | | 3.4 k | 3.3 k | 3.3 k | Srikakulam |
6 | 1 | 1 | | 3.3 k | 3.3 k | 3.3 k | Kirandul |
| 2 | 16 | | 2.5 k | 3.2 k | 2.4 k | Estasyon ng Malolos |
4 | 1 | 1 | | 3.3 k | 3.2 k | 3.2 k | Darbhanga |
3 | 1 | 1 | | 3.2 k | 3.1 k | 3.1 k | Tadepalligudem |
5 | 1 | 1 | | 3.1 k | 3.1 k | 3.1 k | Bhilai |
3 | 1 | 1 | | 3.1 k | 3 k | 3 k | Ambikapur, Chhattisgarh |
2 | 1 | 1 | | 3 k | 3 k | 3 k | Anantapur |
5 | 1 | 3 | | 1.6 k | 3 k | 1.6 k | Unibersidad ng Notre Dame |
3 | 1 | 1 | | 3 k | 3 k | 3 k | Nandyal |
3 | 1 | 1 | | 3 k | 3 k | 3 k | Narasaraopet |
4 | 1 | 2 | | 3 k | 3 k | 3.1 k | Willa Fitzgerald |
2 | 1 | 1 | | 3 k | 2.9 k | 2.9 k | Vizianagaram |
3 | 1 | 1 | | 3 k | 2.9 k | 2.9 k | Chilakaluripet |
9 | 1 | 3 | | 3 k | 2.9 k | 3 k | Pulo ng Lafu |
2 | 1 | 1 | | 3 k | 2.9 k | 2.9 k | Gudivada |
15 | 2 | 5 | | 3 k | 2.9 k | 2.9 k | Christophe Gans |
39 | 4 | 8 | | 690 | 2.9 k | 18 k | Elizabeth Olsen |
19 | 2 | 2 | 1 | 0 | 2.8 k | 1.5 k | Tesis |
17 | 2 | 6 | | 2.8 k | 2.8 k | 2.8 k | Sadako 3D 2 |
3 | 1 | 1 | | 2.9 k | 2.8 k | 2.8 k | Kowthalam |
3 | 1 | 1 | | 2.9 k | 2.8 k | 2.8 k | Kurnool |
2 | 1 | 1 | | 2.9 k | 2.8 k | 2.8 k | Muzaffarpur |
4 | 1 | 1 | | 2.9 k | 2.8 k | 2.8 k | Madanapalle |
3 | 1 | 1 | | 2.8 k | 2.8 k | 2.8 k | Dharmavaram, Anantapur district |
4 | 1 | 1 | | 2.8 k | 2.8 k | 2.8 k | Saharsa |
2 | 1 | 1 | | 2.8 k | 2.8 k | 2.8 k | Bhagalpur |
5 | 1 | 1 | | 2.8 k | 2.7 k | 2.7 k | Rajnandgaon |
5 | 1 | 1 | | -2.8 k | 2.7 k | 22 | Taong Nakaitim (Tall Man) |
3 | 1 | 1 | | 2.8 k | 2.7 k | 2.7 k | Chittoor, Andhra Pradesh |
| 4 | 16 | 1 | 927 | 2.7 k | 927 | Jisoo |
10 | 2 | 4 | | 2.7 k | 2.7 k | 2.7 k | Silent Hill (pelikula) |
2 | 1 | 1 | | 2.7 k | 2.7 k | 2.7 k | Raigarh |
2 | 1 | 1 | | 2.7 k | 2.6 k | 2.6 k | Guntakal |
3 | 1 | 1 | | 2.7 k | 2.6 k | 2.6 k | Bade Bacheli |
6 | 1 | 1 | | 2.7 k | 2.6 k | 2.6 k | Munger |
5 | 1 | 1 | | 2.7 k | 2.6 k | 2.6 k | Bilaspur, Chhattisgarh |
3 | 1 | 1 | | 2.7 k | 2.6 k | 2.6 k | Mantralayam |
3 | 1 | 1 | | 2.7 k | 2.6 k | 2.6 k | Jagdalpur |
5 | 1 | 2 | | 2.6 k | 2.6 k | 2.6 k | Pamantasang Vanderbilt |
3 | 1 | 1 | | 2.6 k | 2.6 k | 2.6 k | Bhalukpong |
4 | 1 | 1 | | 2.6 k | 2.6 k | 2.6 k | Hatkachora |
13 | 2 | 3 | | 2.6 k | 2.6 k | 2.6 k | Banarsi |
3 | 1 | 1 | | 2.6 k | 2.5 k | 2.5 k | Tadpatri |
5 | 1 | 1 | | 2.6 k | 2.5 k | 2.5 k | Korba, Chhattisgarh |
45 | 2 | 4 | | -2.6 k | 2.5 k | 7.3 k | Talaan ng mga palabas ng GMA Network |
3 | 1 | 1 | | 2.6 k | 2.5 k | 2.5 k | Manendragarh |
3 | 1 | 1 | | 2.6 k | 2.5 k | 2.5 k | Gobranawapara |
8 | 2 | 8 | | 2.5 k | 2.5 k | 2.5 k | Pista ng Paru-paro |
9 | 1 | 3 | | 2.5 k | 2.5 k | 2.7 k | Jai Courtney |
4 | 1 | 1 | | 2.5 k | 2.5 k | 2.5 k | Katihar |
2 | 1 | 2 | | 2.5 k | 2.5 k | 2.5 k | Pamantasang Tufts |
4 | 1 | 1 | | 2.5 k | 2.5 k | 2.5 k | Bemetara |
3 | 1 | 1 | | 2.5 k | 2.5 k | 2.5 k | Birgaon |
| 1 | 1 | | 2.5 k | 2.4 k | 2.4 k | Pedro Plascencia Salinas |
2 | 1 | 1 | | 2.5 k | 2.4 k | 2.4 k | Tamnar |
4 | 1 | 1 | | 2.5 k | 2.4 k | 2.4 k | Ivan (modelo) |
4 | 1 | 1 | | 2.4 k | 2.4 k | 2.4 k | Holagunda |
4 | 1 | 1 | | 2.4 k | 2.4 k | 2.4 k | Chirmiri |
4 | 1 | 1 | | 2.4 k | 2.4 k | 2.4 k | Champa, Chhattisgarh |
9 | 1 | 2 | | 2.4 k | 2.4 k | 2.4 k | Britney Hamada |
| 2 | 9 | | 2.2 k | 2.3 k | 3.2 k | Ed Gein |
7 | 2 | 2 | | 2.4 k | 2.3 k | 2.3 k | Nampong |
6 | 1 | 1 | | 2.4 k | 2.3 k | 2.3 k | Sakti, Chhattisgarh |
5 | 1 | 1 | | 2.4 k | 2.3 k | 2.3 k | Mungeli |
4 | 1 | 1 | | 2.4 k | 2.3 k | 2.3 k | Dhamtari |
| 1 | 1 | | 2.4 k | 2.3 k | 2.3 k | University of Notre Dame |
6 | 1 | 2 | | 2.4 k | 2.3 k | 2.3 k | Surajpur |
2 | 1 | 1 | | 2.4 k | 2.3 k | 2.3 k | Naya Raipur |
| 1 | 1 | | 2.4 k | 2.3 k | 2.3 k | Dongargaon |
3 | 1 | 1 | | 2.3 k | 2.3 k | 2.3 k | Alur, Kurnool |
14 | 1 | 3 | | 2.3 k | 2.3 k | 6.1 k | Oh Se-hun (mang-aawit) |
3 | 1 | 1 | | 2.3 k | 2.3 k | 2.3 k | Dongargarh |
3 | 1 | 1 | | 2.3 k | 2.3 k | 2.3 k | Dantewada |
10 | 1 | 3 | | 2.3 k | 2.3 k | 6.8 k | Philippine Broadcasting Service |
2 | 1 | 2 | | 2.3 k | 2.3 k | 2.2 k | Unibersidad ng Frankfurt Goethe |
16 | 2 | 3 | | 2.3 k | 2.3 k | 2.3 k | Harold Wilson |
4 | 1 | 1 | | 2.3 k | 2.3 k | 2.3 k | Kanker, Chhattisgarh |
3 | 1 | 1 | | 2.3 k | 2.3 k | 2.3 k | Pandariya |