gabruxinha_lol — stream on September 19, 2026
🔴AO VIVO - Dead by Daylight⚡❗insta ❗tiktok ❗sub ❗pix ❗loja - ⭐SUBs 31/50⭐ Siga -> @gabruxinha_lol | @StreamakerTV nas redes sociais!
Started · 1h 30m · 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.
- Dead by Daylight23:31–01:02
View as table
| Time (UTC) | Viewers |
|---|---|
| Sep 19, 2026, 11:54 PM UTC | 84 |
| Sep 19, 2026, 11:55 PM UTC | 84 |
| Sep 19, 2026, 11:59 PM UTC | 82 |
| Sep 20, 2026, 12:03 AM UTC | 82 |
| Sep 20, 2026, 12:07 AM UTC | 72 |
| Sep 20, 2026, 12:09 AM UTC | 80 |
| Sep 20, 2026, 12:11 AM UTC | 80 |
| Sep 20, 2026, 12:15 AM UTC | 71 |
| Sep 20, 2026, 12:18 AM UTC | 66 |
| Sep 20, 2026, 12:22 AM UTC | 67 |
| Sep 20, 2026, 12:25 AM UTC | 67 |
| Sep 20, 2026, 12:29 AM UTC | 72 |
| Sep 20, 2026, 12:33 AM UTC | 73 |
| Sep 20, 2026, 12:36 AM UTC | 75 |
| Sep 20, 2026, 12:40 AM UTC | 70 |
| Sep 20, 2026, 12:43 AM UTC | 73 |
| Sep 20, 2026, 12:46 AM UTC | 74 |
| Sep 20, 2026, 12:49 AM UTC | 78 |
| Sep 20, 2026, 12:49 AM UTC | 78 |
| Sep 20, 2026, 12:53 AM UTC | 78 |
| Sep 20, 2026, 12:56 AM UTC | 77 |
| Sep 20, 2026, 12:59 AM UTC | 77 |
| Sep 20, 2026, 1:00 AM UTC | 77 |
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.
| Category | Started (UTC) | Duration | Avg viewers | Peak | Hours watched |
|---|---|---|---|---|---|
| Dead by Daylight | 1h 30m | 74.8 | 84 | 113 |
How this broadcast compares
This broadcast averaged 74.8 viewers, 11.7% below the channel’s 30-day average of 84.6 viewers.
This broadcast drew a higher average audience than 10% of the 40 streams we finalised for this channel in the last 90 days.
How we measured it
- Samples collected
- 23
- Sampling coverage
- 81%
- Data confidence
- 81%
We check a live channel every few minutes rather than continuously, so these numbers are estimates built from 23 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 −11.7% versus the channel's 30-day average of 85 viewers.
Tracked since . Last updated .