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/vt/ - Virtual Youtubers


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File: 1.66 MB, 5164x6052, Top Vtubers Comparison July.png [View same] [iqdb] [saucenao] [google]
7388526 No.7388526 [Reply] [Original]

See the picture for the numbers. Just look at the big table on top for the quickest results; or the one on the bottom for individual ranks..
If you want a quick summary, most categories of jp vtubers are slightly growing in july, when compared to june, which I assume is because of summer vacations in Japan, and its related events. It should grow again a bit more in August, and then take a deep dive as those vacations end.
The top JP vtubers have received a good boost because of their special events happening (3Ds, anniversaries, koshien baseball tournament) - I tested what happens if I removed those, and saw that holoJP goes to +3% growth; nijiJPfemales to +3% and nijiJPmales to -5%.
So in summary the JP side seems either stagnated, for the two big companies, or falling a bit for the others category (indies + small corpos).
As for ENs, they`re not doing too good - the twitch ones seem to have stopped growing so much, with Vshojo falling -8%, holoEN falling -13% (or -6%, if you discount the fact of Gura`s inactivity having their best performer weighting it little) and NijiEN doing a good +14%, although being too small to bring the general growth of ENs as a whole to something positive.
Also, all those who have debuted this month (Irys, new niji Jp and En waves, Kanon) have their numbers buffed by a lot, don`t expect them to hold it in the following months.
I’m using the metric (vod) views/time because it seems to be the best metric we can use for comparisons. There’s no way to calculate direct hours watched without having access to data analytics from inside each channel owner or bullshitting it; simply counting total views doesn’t take into account how much did they stream to get there (and they usually count small skits and music videos as well); and live viewers (on youtube) are very buggy and cut off a significant portion of that real number (for example, comparison between Miko’s twitch and youtube minecraft streams seem to indicate that 35% of her yt live viewers numbers are hidden [read the OP or the whole thread >>2253454 for anons discussion on the possible reasons for it) (not to mention that twitch max live viewers are constantly influenced by twitch raids coming from other channels).
Reading and trying to compare all those ratios for each hour length would have been a pain for any of you, so that’s why I’ve already gone ahead and made the ranking tables, with ranks for inside each time length. The longer the stream time, the fewer vtubers that had any videos available to calculate. Never compare general view/time ratios of streamers who have very different stream duration averages - that’s why I painted those general rankings on the right in grey. Only compare data (or ranks) from the same time length.
For combining those ranges from each time length, i inverted each position into a fraction (position/total), calculated the avarage of all available time-length fractions for each streamer, and then compared those resulting numbers: the smaller your fraction is, it means the higher yours positions were, so you rank higher. You can see a practical example (from may) here: >>4423534.
Video types like short skits, short amvs/covers/original songs, watchalongs, members only, or private were not included for the calculations. Videos analyzed for 'this month' are from the time period of 01-07-21 to 30-07-21 (~11pm jst). (with exception for Coco, which was already included to last june to clean this off).
You can see the biggest individual growth fluctuations with those vtubers who had some huge special stream (like 3ds, costumes, returns, tournaments). They can be big rises if the special vids happened on this month; or big falls if the special vids occured on last month. On those cases you can see % change of one specific time length way superior than the rest for that vtuber.
Collecting all this data was a whole lot of work, so no promises that I’ll be doing this again, or as big of a list. I don’t think I missed anyone too big, I left out the smaller nijisanjis, or holostars or whoever else because I don’t have the time to include them all - but I did include a few smaller ones just out of curiosity. And no "now im suddenly a vtuber" trendhoppers were included either. If you think I left out someone relevant you can try convincing me to do their numbers as well, although if they are too small I’ll just tell you to fuck off.

>> No.7389436

I just skipped to the bottom, but Marine taking the #1 spot, not surprised

>> No.7389798

Looking at the group section its very interesting that even with Niji Baseball and all the new debuts they had that Hololive still solidly beat them.

>> No.7390217
File: 348 KB, 3795x1171, top vtubers history 2.png [View same] [iqdb] [saucenao] [google]
7390217

>>7388526
and here's the vtubers ranks history, updated. This one is not supposed to be perfect especially for the past years having worse sources, but it gives a good indication I guess.
As things of interest, you can see that Kanata, Ibrahim, Ollie, Ratna
reaching their highest ranks on this last month.
Also notice that all the mid-tier (and even high-tiers) vtubers seem to have fallen a lot, but that`s mostly not because of bad performance, but because so many new players entered this month, with debut buffs (Irys, Kanon, Leos, Lain, Lauren, Axia, Oliver) or return buffs (Haachama, Ayame), pushing everybody else about 9 ranks lower than usual.

>>7389798
well it is only 8 nijis playing baseball, they can boost their own individual results significantly, but when looking at the whole group of ~60 top nijisanjis, they cannot influence it so much (about 7-8% from what I tested, and note that they were only playing it for about half of this month)

>> No.7390559

Views don't grow linearly with time. This ranking is extremely biased against streamers who do primarily longer streams.

>> No.7390689

>>7390559
try actually reading the OP this time

>> No.7391255

Would it be hard to make a table showing how many videos fall on each length category for each chuuba? Or perhaps what percentage of the videos checked for that chuuba fall on each category. Just out of curiosity.

>> No.7391307

>>7390559
this, OP probably chooses his metrics based on what aligns with his preconceived list of vtubers' popularity. when the whole point of metrics is to determined said list, not vice versa.

>> No.7391597

>>7388526
>View/Time
I laugh everytiem

>> No.7391668

>>7390217
August is packed with hololive events.
I think the top 20 will be more blue than July.

>> No.7391857

>>7391255
yeah it`s definitely possible, im checking if there is an easy fast way because there are so many vtubers

>> No.7392317

Great job but is this is too confusing

>> No.7392574
File: 312 KB, 2012x1732, %s for each time length for each vtuber.png [View same] [iqdb] [saucenao] [google]
7392574

>>7391255
done, here you go.

>> No.7392723

>>7392574
hm just the formula for t>9h was fucked up and zero`d for everyone, but those are extremely rare so it would affect very little anyways.

>> No.7392791

>>7392574
thx

>> No.7393429

>>7390217
Just noticed Suisei is listed twice for 2020 June, 14 and 22.

>> No.7393510

>>7392574
the 9h+ should affect Choco and Kuzuha a bit at least.

>> No.7394609

>>7393429
thanks for the note, i`ll fix it for the next version. Seems haaachama was that second suisei
>>7393510
checking those two manually (last month only):
Choco t>9hr = 0%
Kuzuha t>9hr = 21% (making his revised numbers: 0% 14% 14% 17% 10% 14% 3% 0% 7% 21%)

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