Channel
@slabiy27
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
35subscribers
+2 since we began measuring on 22 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002698774987 |
|---|---|
| Type | Channel |
| Username | @slabiy27 |
| Created | Between 1 March 2025 and 18 June 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 22 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/slabiy27 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 06:39 | 35 | +1 |
| 9 Sept 2026, 01:57 | 34 | +1 |
| 22 Aug 2026, 15:45 | 33 | no change |
| 22 Aug 2026, 15:30 | 33 | first reading |
19 posts held, back to 18 June 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of 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 19 posts for this entry, the most recent from 20 September 2025. An engagement rate over an empty window would be a number about nothing.
Measured directly from 4 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
49 reactions across 12 posts, in 12 distinct kinds. The most used accounts for 24.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 12 | 24.5% | |
| 👍 | 7 | 14.3% | |
| 🔥 | 7 | 14.3% | |
| 👻 | 6 | 12.2% | |
| 🤣 | 3 | 6.12% | |
| 🥰 | 3 | 6.12% | |
| custom 5444990629689961719 | 2 | 4.08% | |
| 💯 | 2 | 4.08% | |
| 😁 | 2 | 4.08% | |
| 🙏 | 2 | 4.08% | |
| 🤩 | 2 | 4.08% | |
| ❤🔥 | 1 | 2.04% |
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.
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 12 of the 19 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 49 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 18 June 2025 to 20 September 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
🤝RESPECT🤝 💯Ребята из СКА в первом матче подарили нам возможность продолжить снимать промо в стиле социальных роликов UEFA. 😳 В прошлом матче мы столкнулись с тем, что игроки команды противника не знают правил FAIR PLAY. 🤞Надеемся, что ко второму матчу игроки СКА выучили общепринятые нормы, и мы сможем пожать друг другу руки и обменяться футболками… ⚽️ @fcfightnights
❤2👍1🙏1
⛔️МАТЧ ОКОНЧЕН⛔️ 👊 Настоящая битва, из которой выходим победителями! 🙌 Но вся борьба еще впереди! Выбираем MVP сегодняшнего матча: ❤️ — Долгуша 🔥 — Мини Халк 👍 — Ика 👏🏻 — Острый 👌🏻 — Вся команда ТОП! Чембулатов не участвует в конкурсе! ⚽️ @fcfightnights
👍1🙏1
ВЫШЛИ В СЛЕДУЮЩИЙ РАУНД 🔝Устроили качели в первом тайме, а во втором показали свое преимущество! А кто сегодня лучший? ❤️ — ЖДАН 🔥 — ОСТРЫЙ 👍 — САФА 👏🏻 — ДУДИК 👌 — БАТИК 😱 — ЛЕПС ⚽️ @fcfightnights
ИДЕМ ДАЛЬШЕ 🔥 7:3 по сумме двух встреч 🫠
ВЫБИРАЕМ MVP 🧑🍳 Руководство клуба выбрало лучшим игроком Ждана, но мы хотим узнать и ваше мнение: ❤️ — ЖДАН БЕЗ ВАРИАНТОВ 🔥 — ЛЯПА 👍 — ЛЕПС 👏🏻 — ДЖИЧО ⚽️ @fcfightnights
❤🔥1💯1🤩1
Video message, posted without a caption
😁2👍1🔥1
Отлично ⚽️, отлично 🤣🤣🤣
👍1🔥1
СЕТКА ДИВИЗИОНА ПРЕТЕНДЕНТОВ! Представляем, какой путь ждет наши команды в захватывающей битве до финала 🔥 На кого выйдут твои фавориты? 🎟️ ПРИХОДИ НА СТАДИОН @WinlineML | Фрибет 3000 🏆
👍1💯1🔥1
💣 ❗️HERE WE GO❗️🔥
🙌ДАНЯ СЛОБОДЯН С НАМИ🙌 🙂 За неделю до первого матча спешим похвастаться ещё одним усилением — на этот раз укрепляем линию полузащиты ✨ В прошлом турнире наш новичок выступал за команду телевизионщиков, а в Кубке Лиги будет сверкать за нас 🤝 Даня, добро пожаловать! ⚽️ @fcfightnights
🔥4👍2🤩1
🍿F1
🥰3
Пока на улице жара 31° 🥵, можно и в зале охладиться
👻2
Showing the 12 most recent of 19 posts we hold for @slabiy27. 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
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.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“СЛАБЫЙ | ДАНИЛ СЛОБОДЯН” (@slabiy27), 35 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/slabiy27.
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.