miwTL — stream on September 16, 2026
A MAIOR JOGADORA DE POKER DO RJ QUE MORA EM SP É LOIRA E DALTONICA DO MUNDO !ignition
Started · 10h 42m · ended
Estimated
Viewers during this broadcast
Sampled every few minutes. Breaks in the line are stretches we did not observe — they are never drawn across.
- VALORANT19:21–01:16
- Poker01:16–06:04
View as table
| Time (UTC) | Viewers |
|---|---|
| Sep 16, 2026, 8:19 PM UTC | 122 |
| Sep 16, 2026, 8:24 PM UTC | 122 |
| Sep 16, 2026, 8:31 PM UTC | 135 |
| Sep 16, 2026, 8:39 PM UTC | 142 |
| Sep 16, 2026, 8:44 PM UTC | 133 |
| Sep 16, 2026, 8:50 PM UTC | 138 |
| Sep 16, 2026, 8:59 PM UTC | 136 |
| Sep 16, 2026, 9:04 PM UTC | 143 |
| Sep 16, 2026, 9:12 PM UTC | 135 |
| Sep 16, 2026, 9:18 PM UTC | 139 |
| Sep 16, 2026, 9:24 PM UTC | 145 |
| Sep 16, 2026, 9:30 PM UTC | 128 |
| Sep 16, 2026, 9:36 PM UTC | 121 |
| Sep 16, 2026, 9:43 PM UTC | 132 |
| Sep 16, 2026, 9:49 PM UTC | 133 |
| Sep 16, 2026, 9:54 PM UTC | 140 |
| Sep 16, 2026, 10:01 PM UTC | 138 |
| Sep 16, 2026, 10:08 PM UTC | 137 |
| Sep 16, 2026, 10:14 PM UTC | 104 |
| Sep 16, 2026, 10:23 PM UTC | 148 |
| Sep 16, 2026, 10:29 PM UTC | 134 |
| Sep 16, 2026, 10:35 PM UTC | 136 |
| Sep 16, 2026, 10:42 PM UTC | 130 |
| Sep 16, 2026, 10:49 PM UTC | 122 |
| Sep 16, 2026, 10:54 PM UTC | 127 |
| Sep 16, 2026, 11:00 PM UTC | 127 |
| Sep 16, 2026, 11:08 PM UTC | 140 |
| Sep 16, 2026, 11:14 PM UTC | 125 |
| Sep 16, 2026, 11:20 PM UTC | 122 |
| Sep 16, 2026, 11:28 PM UTC | 135 |
| Sep 16, 2026, 11:34 PM UTC | 121 |
| Sep 16, 2026, 11:39 PM UTC | 123 |
| Sep 16, 2026, 11:46 PM UTC | 110 |
| Sep 16, 2026, 11:53 PM UTC | 111 |
| Sep 16, 2026, 11:59 PM UTC | 107 |
| Sep 17, 2026, 12:04 AM UTC | 113 |
| Sep 17, 2026, 12:11 AM UTC | 122 |
| Sep 17, 2026, 12:19 AM UTC | 117 |
| Sep 17, 2026, 12:27 AM UTC | 107 |
| Sep 17, 2026, 12:33 AM UTC | 112 |
| Sep 17, 2026, 12:39 AM UTC | 103 |
| Sep 17, 2026, 12:44 AM UTC | 83 |
| Sep 17, 2026, 12:49 AM UTC | 99 |
| Sep 17, 2026, 12:56 AM UTC | 120 |
| Sep 17, 2026, 1:03 AM UTC | 98 |
| Sep 17, 2026, 1:09 AM UTC | 127 |
| Sep 17, 2026, 1:18 AM UTC | 133 |
| Sep 17, 2026, 1:24 AM UTC | 119 |
| Sep 17, 2026, 1:29 AM UTC | 122 |
| Sep 17, 2026, 1:38 AM UTC | 105 |
| Sep 17, 2026, 1:44 AM UTC | 90 |
| Sep 17, 2026, 1:49 AM UTC | 91 |
| Sep 17, 2026, 1:56 AM UTC | 83 |
| Sep 17, 2026, 2:04 AM UTC | 90 |
| Sep 17, 2026, 2:09 AM UTC | 80 |
| Sep 17, 2026, 2:15 AM UTC | 86 |
| Sep 17, 2026, 2:24 AM UTC | 86 |
| Sep 17, 2026, 2:29 AM UTC | 90 |
| Sep 17, 2026, 2:35 AM UTC | 91 |
| Sep 17, 2026, 2:42 AM UTC | 89 |
| Sep 17, 2026, 2:49 AM UTC | 85 |
| Sep 17, 2026, 2:57 AM UTC | 81 |
| Sep 17, 2026, 3:04 AM UTC | 84 |
| Sep 17, 2026, 3:09 AM UTC | 70 |
| Sep 17, 2026, 3:16 AM UTC | 73 |
| Sep 17, 2026, 3:24 AM UTC | 77 |
| Sep 17, 2026, 3:29 AM UTC | 81 |
| Sep 17, 2026, 3:35 AM UTC | 80 |
| Sep 17, 2026, 3:42 AM UTC | 75 |
| Sep 17, 2026, 3:49 AM UTC | 74 |
| Sep 17, 2026, 3:54 AM UTC | 74 |
| Sep 17, 2026, 4:00 AM UTC | 67 |
| Sep 17, 2026, 4:08 AM UTC | 68 |
| Sep 17, 2026, 4:14 AM UTC | 65 |
| Sep 17, 2026, 4:19 AM UTC | 71 |
| Sep 17, 2026, 4:26 AM UTC | 68 |
| Sep 17, 2026, 4:33 AM UTC | 68 |
| Sep 17, 2026, 4:39 AM UTC | 62 |
| Sep 17, 2026, 4:44 AM UTC | 71 |
| Sep 17, 2026, 4:51 AM UTC | 74 |
| Sep 17, 2026, 4:58 AM UTC | 67 |
| Sep 17, 2026, 5:04 AM UTC | 59 |
| Sep 17, 2026, 5:09 AM UTC | 103 |
| Sep 17, 2026, 5:16 AM UTC | 86 |
| Sep 17, 2026, 5:24 AM UTC | 80 |
| Sep 17, 2026, 5:30 AM UTC | 85 |
| Sep 17, 2026, 5:36 AM UTC | 90 |
| Sep 17, 2026, 5:43 AM UTC | 77 |
| Sep 17, 2026, 5:49 AM UTC | 74 |
| Sep 17, 2026, 5:58 AM UTC | 76 |
| Sep 17, 2026, 6:04 AM UTC | 72 |
Category timeline
Where the broadcast’s time went. A switch is placed midway between the last sample of one category and the first of the next, because that is as precisely as sampling can locate it.
How this broadcast compares
This broadcast averaged 104 viewers, 30.8% below the channel’s 30-day average of 150 viewers.
This broadcast drew a higher average audience than 13% of the 62 streams we finalised for this channel in the last 90 days.
How we measured it
- Samples collected
- 271
- Sampling coverage
- 92%
- Data confidence
- 92%
We check a live channel every few minutes rather than continuously, so these numbers are estimates built from 271 observations. Coverage is the share of the broadcast those observations account for; confidence combines that coverage with how many samples we took and whether we saw the stream end. Time we did not observe is excluded from the averages rather than filled in.
What stands out
- This stream averaged −30.8% versus the channel's 30-day average of 150 viewers.
- The broadcast covered 2 categories.
Tracked since . Last updated .