Spotify Chart History
Title: 安徒生的錯
Artist:
Phil Lam
Show:
Weekly ·
Daily |
Positions ·
Streams ·
Both
Date |
HK |
Total |
1,912,455 |
Peak |
9 (44,588) |
2015/10/22 | 58 (13,092) |
2015/10/29 | 30 (23,339) |
2015/11/05 | 38 (19,714) |
2015/11/12 | 43 (19,454) |
2015/11/19 | 34 (22,022) |
2015/11/26 | 17 (29,563) |
2015/12/03 | 17 (28,088) |
2015/12/10 | 14 (29,777) |
2015/12/17 | 28 (26,064) |
2015/12/24 | 16 (29,662) |
2015/12/31 | 10 (33,007) |
2016/01/07 | 10 (42,368) |
2016/01/14 | 9 (44,588) |
2016/01/21 | 10 (41,245) |
2016/01/28 | 15 (35,545) |
2016/02/04 | 18 (37,401) |
2016/02/11 | 20 (30,204) |
2016/02/18 | 28 (30,109) |
2016/02/25 | 31 (30,017) |
2016/03/03 | 32 (30,359) |
2016/03/10 | 35 (30,322) |
2016/03/17 | 35 (30,651) |
2016/03/24 | 41 (30,479) |
2016/03/31 | 38 (30,140) |
2016/04/07 | 40 (30,140) |
2016/04/14 | 42 (30,418) |
2016/04/21 | 45 (31,614) |
2016/04/28 | 44 (31,534) |
2016/05/05 | 43 (30,509) |
2016/05/12 | 45 (29,607) |
2016/05/19 | 43 (29,146) |
2016/05/26 | 43 (28,497) |
2016/06/02 | 50 (26,764) |
2016/06/09 | 49 (26,341) |
2016/06/16 | 52 (25,975) |
2016/06/23 | 57 (24,256) |
2016/06/30 | 62 (22,823) |
2016/07/07 | 61 (22,730) |
2016/07/14 | 62 (23,506) |
2016/07/21 | 68 (23,415) |
2016/07/28 | 74 (21,715) |
2016/08/04 | 80 (20,882) |
2016/08/11 | 84 (20,332) |
2016/08/18 | 91 (20,068) |
2016/08/25 | 87 (20,507) |
2016/09/01 | 95 (20,098) |
2016/09/08 | 102 (19,264) |
2016/09/15 | 105 (19,832) |
2016/09/22 | 94 (20,638) |
2016/09/29 | 85 (21,403) |
2016/10/06 | 85 (21,136) |
2016/10/13 | 84 (20,494) |
2016/10/20 | 86 (20,091) |
2016/10/27 | 91 (19,609) |
2016/11/03 | 93 (20,177) |
2016/11/10 | 82 (21,526) |
2016/11/17 | 75 (23,740) |
2016/11/24 | 66 (24,685) |
2016/12/01 | 70 (24,468) |
2016/12/08 | 72 (24,846) |
2016/12/15 | 70 (24,447) |
2016/12/22 | 72 (23,274) |
2016/12/29 | 73 (21,992) |
2017/01/05 | 68 (25,252) |
2017/01/12 | 76 (24,494) |
2017/01/19 | 79 (23,660) |
2017/01/26 | 89 (22,609) |
2017/02/02 | 106 (19,214) |
2017/02/09 | 122 (19,566) |
2017/02/16 | 130 (18,362) |
2017/02/23 | 149 (16,906) |
2017/03/02 | 168 (15,846) |
2017/03/09 | 169 (15,662) |
2017/03/16 | 167 (15,513) |
2017/03/23 | 163 (15,838) |
2017/03/30 | 176 (15,174) |
2017/04/06 | 172 (14,650) |
Date |
HK |
Total |
1,884,256 |
Peak |
8 (6,636) |
2017/03/05 | 173 (2,071) |
2017/03/06 | 166 (2,287) |
2017/03/07 | 163 (2,287) |
2017/03/08 | 181 (2,163) |
2017/03/09 | 155 (2,374) |
2017/03/10 | 172 (2,153) |
2017/03/11 | 153 (2,285) |
2017/03/12 | 161 (2,106) |
2017/03/13 | 170 (2,215) |
2017/03/14 | 175 (2,158) |
2017/03/15 | 169 (2,182) |
2017/03/16 | 152 (2,330) |
2017/03/17 | 156 (2,266) |
2017/03/18 | 152 (2,318) |
2017/03/19 | 177 (1,991) |
2017/03/20 | 165 (2,339) |
2017/03/21 | 173 (2,322) |
2017/03/22 | 181 (2,174) |
2017/03/23 | 170 (2,297) |
2017/03/24 | 165 (2,160) |
2017/03/25 | 180 (2,112) |
2017/03/26 | 189 (1,893) |
2017/03/27 | 166 (2,211) |
2017/03/28 | 171 (2,211) |
2017/03/29 | 178 (2,217) |
2017/03/30 | 164 (2,328) |
2017/03/31 | 169 (2,131) |
2017/04/01 | 183 (2,165) |
2017/04/02 | 148 (2,188) |
2017/04/03 | 147 (2,249) |
2017/04/04 | 157 (2,168) |