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djkoshkaMain category: DJs

djkoshka — stream on September 19, 2026

\ ☽。*。 TIRD SPACE VOIBIN W @magdahalina fr drunm by THEE @officedrummer and bass by @Riptidesan 。♡。☽ / | !id !kofi

Started · 4h 2m · ended

Average viewers
221
Peak viewers
293
Median viewers
222
Hours watched
890

Estimated

Viewers during this broadcast

Sampled every few minutes. Breaks in the line are stretches we did not observe — they are never drawn across.

  • DJs06:52–10:54
View as table
Sampled viewer counts during this broadcast, in UTC
Time (UTC)Viewers
Sep 19, 2026, 9:54 AM UTC293
Sep 19, 2026, 9:55 AM UTC268
Sep 19, 2026, 9:58 AM UTC258
Sep 19, 2026, 9:59 AM UTC258
Sep 19, 2026, 10:01 AM UTC259
Sep 19, 2026, 10:04 AM UTC257
Sep 19, 2026, 10:05 AM UTC249
Sep 19, 2026, 10:08 AM UTC241
Sep 19, 2026, 10:09 AM UTC238
Sep 19, 2026, 10:12 AM UTC234
Sep 19, 2026, 10:14 AM UTC230
Sep 19, 2026, 10:16 AM UTC227
Sep 19, 2026, 10:19 AM UTC228
Sep 19, 2026, 10:20 AM UTC225
Sep 19, 2026, 10:24 AM UTC222
Sep 19, 2026, 10:24 AM UTC222
Sep 19, 2026, 10:28 AM UTC219
Sep 19, 2026, 10:29 AM UTC212
Sep 19, 2026, 10:31 AM UTC213
Sep 19, 2026, 10:34 AM UTC206
Sep 19, 2026, 10:34 AM UTC206
Sep 19, 2026, 10:38 AM UTC208
Sep 19, 2026, 10:39 AM UTC212
Sep 19, 2026, 10:41 AM UTC204
Sep 19, 2026, 10:44 AM UTC199
Sep 19, 2026, 10:45 AM UTC196
Sep 19, 2026, 10:48 AM UTC197
Sep 19, 2026, 10:49 AM UTC201
Sep 19, 2026, 10:52 AM UTC10

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.

Categories played during the broadcast on September 19, 2026
CategoryStarted (UTC)DurationAvg viewersPeakHours watched
DJs4h 2m221293890

How this broadcast compares

This broadcast averaged 221 viewers, 126.8% above the channel’s 30-day average of 97.2 viewers.

This broadcast drew a higher average audience than 88% of the 24 streams we finalised for this channel in the last 90 days.

How we measured it

Samples collected
29
Sampling coverage
27%
Data confidence
27%

We check a live channel every few minutes rather than continuously, so these numbers are estimates built from 29 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 +126.8% versus the channel's 30-day average of 97 viewers.

Tracked since . Last updated .