11 measurements spanning 10 days, net -28. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 10,333–10,369 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Aug 2026, 15:12
10,337
-5
14 Aug 2026, 20:28
10,342
-8
13 Aug 2026, 10:05
10,350
-1
12 Aug 2026, 07:36
10,351
-2
11 Aug 2026, 04:35
10,353
-1
10 Aug 2026, 08:10
10,354
-4
9 Aug 2026, 06:43
10,358
-2
8 Aug 2026, 04:22
10,360
-2
7 Aug 2026, 06:52
10,362
-3
6 Aug 2026, 10:15
10,365
no change
6 Aug 2026, 09:57
10,365
first reading
Engagement
9 posts held, back to 18 November 2023 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 18 pagesof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 9 posts for this entry, the most recent from 23 November 2023. An engagement rate over an empty window would be a number about nothing.
Reaction mix
720 reactions across 8 posts, in 10 distinct kinds. The most used accounts for 35.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
252
35.0%
🔥
251
34.9%
😱
157
21.8%
👍
39
5.42%
🤬
6
0.833%
😁
5
0.694%
😍
4
0.556%
😢
4
0.556%
👎
1
0.139%
👏
1
0.139%
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 8 of the 9 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 720reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 18 November 2023 to 23 November 2023, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
💥 Бэкстейдж убойного медиафутбола уже на канале!
«Динамо» и 2Drots устроили настоящее шоу не только на поле, но и за его пределами: разогрев от Obladaet, автограф-сессия Некита и Хула, заряды болельщиков обеих команд — смотри бэкстейдж BetBoom Убойного медиафутбола МКС 2023 на канале 🎥
youtu.be/YLI4seuUqKk
youtu.be/YLI4seuUqKk
youtu.be/YLI4seuUqKk
Разыгрываем жёлтое кимоно Смолова из ролика BetBoom Убойный медиафутбол ⚡
Всего два условия — и ты участвуешь:
▪️ Подпишись на аккаунты: МКС, «Динамо» и BetBoom
▪️ Жми на кнопку под этим постом УБОЙНОЕ КИМОНО
Уникальная форма с автографом даёт +15 ко всем скиллам и характеристикам, так что поторопись 😎
Полное выступление OBLADAET уже на канале 😏
Басы выкручиваем на максимум и наслаждаемся лайвом: youtu.be/4ut7haB6oFE
Треклист:
1. Mutant
2. Bolshoi brat
3. Shinobi
4. Я буду
5. Дом с привидениями
6. Joga Bonito
Матч «Динамо» — 2Drots стал рекордным по посещаемости в медиафутболе
22 244 человека гнали команды вперёд на «ВТБ Арене» 🏟
Спасибо каждому, кто был на стадионе! Вы вошли в историю ❤️💛
Подвезли вам обзор матча #Динамо2Drots 📺
youtu.be/Eb1PTENn_ZA
youtu.be/Eb1PTENn_ZA
youtu.be/Eb1PTENn_ZA
Переходи по ссылке — тебя ждут 14 минут плотной борьбы, крутейших моментов и огненной атмосферы 🔥
❤33🔥3👍1
Showing the 9 most recent of 9 posts we hold for @celebrity_cup. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Citation-graph rank
Citation-graph rank — 1,108,595 of 1,481,502entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Cross-platform identity — Wikidata
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
This handle named by sources this register does not control and did not measure — each shown exactly as found, attributed by name, dated to when it was read.
Wikipedia
One Wikipedia article names this handle in its article text, found by searching for a t.me link inside the article source. A citation is a notability signal, not a verification: nobody here confirmed the cited post is genuine or still says what the article quotes. Article text is CC BY-SA 4.0, Wikipedia contributors; snippets below are short excerpts.
Филимонов, Александр Владимирович(ru.wikipedia.org) “…кубок селебрити|Московском кубке селебрити]]-2022{{Cite web|url=https://t.me/celebrity_cup/313|title=OLIMPBET МКС 2022|website=Telegram|access-date=2…” read 16 August 2026
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 16 August 2026 — this
entry's latest reading, not the date you are reading this.
“МКС 2024” (@celebrity_cup), 10,337 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/celebrity_cup.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.