772189 |
|
29 May 2020 08:32:44 UTC |
402,055 |
1 |
62 |
2.00000000 LBC
|
772183 |
|
29 May 2020 08:15:36 UTC |
402,061 |
1 |
57 |
1.00000000 LBC
|
772181 |
|
29 May 2020 08:11:48 UTC |
402,063 |
1 |
68 |
2.00000000 LBC
|
772180 |
|
29 May 2020 08:09:22 UTC |
402,064 |
1 |
65 |
3.00000000 LBC
|
772172 |
|
29 May 2020 07:55:19 UTC |
402,072 |
1 |
70 |
3.00000000 LBC
|
772170 |
|
29 May 2020 07:51:47 UTC |
402,074 |
1 |
64 |
3.00000000 LBC
|
772164 |
|
29 May 2020 07:34:27 UTC |
402,080 |
1 |
72 |
4.00000000 LBC
|
772160 |
|
29 May 2020 07:26:43 UTC |
402,084 |
1 |
71 |
4.00000000 LBC
|
772160 |
|
29 May 2020 07:26:43 UTC |
402,084 |
1 |
71 |
2.00000000 LBC
|
772159 |
|
29 May 2020 07:19:00 UTC |
402,085 |
1 |
85 |
2.00000000 LBC
|
772156 |
|
29 May 2020 07:12:44 UTC |
402,088 |
2 |
87 |
3.00000000 LBC
|
772156 |
|
29 May 2020 07:12:44 UTC |
402,088 |
1 |
72 |
4.00000000 LBC
|
772156 |
|
29 May 2020 07:12:44 UTC |
402,088 |
1 |
87 |
2.00000000 LBC
|
772155 |
|
29 May 2020 07:03:07 UTC |
402,089 |
1 |
67 |
3.00000000 LBC
|
772152 |
|
29 May 2020 06:54:16 UTC |
402,092 |
1 |
77 |
2.00000000 LBC
|
772151 |
|
29 May 2020 06:52:28 UTC |
402,093 |
1 |
65 |
1.00000000 LBC
|
772149 |
|
29 May 2020 06:46:34 UTC |
402,094 |
1 |
66 |
3.00000000 LBC
|
772144 |
|
29 May 2020 06:36:23 UTC |
402,099 |
1 |
83 |
3.00000000 LBC
|
772143 |
|
29 May 2020 06:30:19 UTC |
402,100 |
1 |
67 |
3.00000000 LBC
|
772142 |
|
29 May 2020 06:28:07 UTC |
402,101 |
1 |
70 |
3.00000000 LBC
|
772137 |
|
29 May 2020 06:21:59 UTC |
402,106 |
1 |
60 |
2.00000000 LBC
|
772137 |
|
29 May 2020 06:21:59 UTC |
402,106 |
1 |
82 |
2.00000000 LBC
|
772137 |
|
29 May 2020 06:21:59 UTC |
402,106 |
1 |
55 |
3.00000000 LBC
|
772135 |
|
29 May 2020 06:11:54 UTC |
402,108 |
1 |
65 |
2.00000000 LBC
|
772135 |
|
29 May 2020 06:11:54 UTC |
402,108 |
1 |
90 |
3.00000000 LBC
|
772128 |
|
29 May 2020 05:50:35 UTC |
402,115 |
1 |
71 |
3.00000000 LBC
|
772127 |
|
29 May 2020 05:44:42 UTC |
402,116 |
1 |
69 |
3.00000000 LBC
|
772127 |
|
29 May 2020 05:44:42 UTC |
402,116 |
1 |
89 |
2.00000000 LBC
|
772125 |
|
29 May 2020 05:36:56 UTC |
402,118 |
1 |
68 |
1.00000000 LBC
|
772123 |
|
29 May 2020 05:33:13 UTC |
402,120 |
1 |
2 |
2.00000000 LBC
|
772118 |
|
29 May 2020 05:23:21 UTC |
402,125 |
1 |
95 |
3.00000000 LBC
|
772115 |
|
29 May 2020 05:17:30 UTC |
402,128 |
1 |
97 |
1.00000000 LBC
|
772112 |
|
29 May 2020 05:09:21 UTC |
402,131 |
1 |
114 |
2.00000000 LBC
|
772109 |
|
29 May 2020 04:54:13 UTC |
402,134 |
1 |
96 |
2.00000000 LBC
|
772106 |
|
29 May 2020 04:53:09 UTC |
402,137 |
1 |
119 |
2.00000000 LBC
|
772103 |
|
29 May 2020 04:45:24 UTC |
402,140 |
1 |
82 |
2.00000000 LBC
|
772103 |
|
29 May 2020 04:45:24 UTC |
402,140 |
1 |
88 |
1.00000000 LBC
|
772103 |
|
29 May 2020 04:45:24 UTC |
402,140 |
1 |
108 |
3.00000000 LBC
|
772103 |
|
29 May 2020 04:45:24 UTC |
402,140 |
1 |
108 |
4.00000000 LBC
|
772102 |
|
29 May 2020 04:31:04 UTC |
402,141 |
1 |
98 |
2.00000000 LBC
|
772102 |
|
29 May 2020 04:31:04 UTC |
402,141 |
1 |
118 |
2.00000000 LBC
|
772097 |
|
29 May 2020 04:18:07 UTC |
402,146 |
1 |
86 |
4.00000000 LBC
|
772096 |
|
29 May 2020 04:14:07 UTC |
402,147 |
1 |
104 |
1.00000000 LBC
|
772095 |
|
29 May 2020 04:12:17 UTC |
402,148 |
1 |
110 |
3.00000000 LBC
|
772092 |
|
29 May 2020 04:04:27 UTC |
402,151 |
1 |
115 |
4.00000000 LBC
|
772089 |
|
29 May 2020 04:02:40 UTC |
402,154 |
1 |
120 |
3.00000000 LBC
|
772087 |
|
29 May 2020 03:59:16 UTC |
402,156 |
1 |
131 |
2.00000000 LBC
|
772085 |
|
29 May 2020 03:53:15 UTC |
402,158 |
1 |
111 |
3.00000000 LBC
|
772081 |
|
29 May 2020 03:45:11 UTC |
402,162 |
1 |
125 |
4.00000000 LBC
|
772080 |
|
29 May 2020 03:41:34 UTC |
402,163 |
1 |
205 |
2.00000000 LBC
|