Channel
@smmzgt
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
99subscribers
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001861985326 |
|---|---|
| Type | Channel |
| Username | @smmzgt |
| Description | Фигурное катание и не только ✍️ @smmzgtt |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 18 September 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 1 |
| On Telegram | t.me/smmzgt |
Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 23:22 | 99 | first reading |
17 posts held, back to 16 September 2026 — 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.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 16 of 17 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 18 September 2026 |
|---|---|
| Posts held | 17 (16 September 2026 – 18 September 2026) |
| Views total | 3,535 |
| Reactions total | 78 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 18 Sept 2026, 23:22 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Lifetime counters from Telegram’s own channel header, read 18 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 6 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.
78 reactions across 16 posts, in 6 distinct kinds. The most used accounts for 62.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 49 | 62.8% | |
| 😁 | 13 | 16.7% | |
| 🔥 | 8 | 10.3% | |
| 🥰 | 4 | 5.13% | |
| 👍 | 3 | 3.85% | |
| 🤬 | 1 | 1.28% |
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 16 of the 17 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 78 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 16 September 2026 to 18 September 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
🇮🇹 Лара Наки Гутманн – о своей новой короткой программе «Мы со Стефаном Ламбьелем выбрали музыку для моей программы, и когда он ее выбирал, то почувствовал, что в ней есть какая-то особая история. Так что первая песня, как мне кажется, более женственная, но в ней я как будто ищу свой путь, пытаюсь найти свое место в жизни или в чем-то еще. Это очень абстрактно. А когда звучит гонг и музыка меняется, это как будто я…
❤3
🇪🇪 Нина Петрыкина – о четверном сальхове – Я давно тренирую, много лет уже тренирую ультра-си элементы, просто никогда не удавалось дойти мне до этого момента, когда я могла бы их показать на соревнованиях, потому что всё время случались какие-то травмы. И всё время останавливалась и приходилось делать много шагов назад, и потом снова нарабатывать эти шаги. И вот это лето наконец-то выдалось самым нормальным за все …
❤4
🇪🇪 Нина Петрыкина рассказала о программе от Ше-Линн Бурн и показала детали своего костюма – на руках у неё цепи «Розалия поёт в своей песне про бога и землю, и стараешься найти умиротворение именно между двумя мирами. И на самом деле мои руки, они больше как руки ангела. И сначала я пытаюсь выбраться из этих цепей. Я стараюсь уйти от всяких стереотипов и жить своей жизнью, жить свободно, и в конце это получается» @…
❤3
Интересный выбор цвета костюма у Кирилла Марсака @smmzgt
😁13❤3
Ещё впечатления Матвея от турнира в Бергамо 💬 - Нет такого, что холодно очень на арене? – Нет, нет, нисколько. Нисколько. Очень тепло и эмоционально тепло, и температурно тепло. –После Kinoshita Cup многие говорили, что непривычно, что трибуна только с одной стороны, из-за этого нет ощущения, что ты на соревнованиях... – Ну, это, конечно, может быть, мы можем сделать такую заметку о том, что уровень масштаба и орга…
❤7🔥2
Матвей Ветлугин – об общении с иностранными фигуристами 💬 «Здесь достаточно много ребят русскоговорящих. То есть шесть из десяти свободно говорят на русском без проблем. И со всеми немножко перекинулись словами, там некоторыми комплиментами. Могу только проявить взаимное уважение ко всем этим ребятам и также искренне за них поболеть, как и они, там каждый раз для удачи выходя на тренировку и на старт непосредственно…
🔥6🥰4❤1
Прокат короткой программы Матвея Ветлугина @smmzgt
❤3
⚡️ Матвей Ветлугин уже на разминке перед короткой программой @smmzgt
❤6
🇪🇪 Нина Петрыкина - о работе с Ше-Линн Бурн 💬 На самом деле мне очень понравилось. Это было действительно что-то новое для меня. И я прямо насладилась процессом. Было очень тяжело, потому что она работает совершенно по-другому, нежели хореографы, с которыми я до этого работала. Но прогресс как бы налицо, и та программа, которую она мне поставила, она хоть изначально была для меня сложной, сейчас я её вкатала настоль…
❤2
Короткая программа Нины Петрыкиной от Ше-Линн Бурн @smmzgt
👍2
Новая короткая программа Лары Наки Гутман, поставленная Стефаном Ламбьелем 🇮🇹 @smmzgt
👍1
Каролина Костнер на Lombardia Trophy 🇮🇹 @smmzgt
❤6
Showing the 12 most recent of 17 posts we hold for @smmzgt. 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.
Named by 2 registered channels — 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.
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.
“Подумаю над этим завтра” (@smmzgt), 99 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/smmzgt.
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.