Sports — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 73% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
12 measurements spanning 36 days, net +76. 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 6,480–6,597 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Sept 2026, 19:55
6,569
-9
5 Sept 2026, 08:57
6,578
-3
1 Sept 2026, 07:28
6,581
+10
29 Aug 2026, 02:12
6,571
-4
26 Aug 2026, 11:46
6,575
-8
23 Aug 2026, 10:37
6,583
+4
19 Aug 2026, 21:35
6,579
+1
16 Aug 2026, 19:13
6,578
+29
13 Aug 2026, 06:19
6,549
+33
10 Aug 2026, 08:40
6,516
+23
6 Aug 2026, 21:53
6,493
no change
6 Aug 2026, 05:16
6,493
first reading
Engagement
44 posts held, back to 29 July 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 10 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
18.7%
avg views ÷ 6,569 subscribers
Avg views / post
1,230
12 posts measured
Reaction rate
2.64%
reactions ÷ views · ER floor
Posts in window
12
of 44 held
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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 19 August 2026
Posts held
44 (29 July 2026 – 19 August 2026)
Views total
14,707
Reactions total
389
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
20 Aug 2026, 12:53 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.
What this channel posts
Video runtime
15m 59s
Average length
37s
Measured directly from 26 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.
Reaction mix
1,347 reactions across 44 posts, in 22 distinct kinds. The most used accounts for 34.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
466
34.6%
👍
284
21.1%
🔥
233
17.3%
❤🔥
104
7.72%
🎉
57
4.23%
🏆
54
4.01%
😍
53
3.93%
💋
27
2.00%
🍾
19
1.41%
👏
8
0.594%
👌
7
0.52%
👾
7
0.52%
💘
5
0.371%
🙏
5
0.371%
⚡
4
0.297%
👎
4
0.297%
🤩
4
0.297%
😭
2
0.148%
🍓
1
0.074%
👻
1
0.074%
2 further kinds
2
0.148%
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 44 of the 44 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 1,347 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 44 most recent posts we hold, published 29 July 2026 to 19 August 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.
Наши маленькие болельщики — наша большая поддержка ❤️
На прошедшем этапе СМП РСКГ на «Игора Драйв» нас поддерживали самые искренние фанаты — дети наших друзей. Они переживали за команду, с нетерпением ждали финиша и подарили нам самые теплые поздравления после победы.
Мы счастливы видеть, как все больше детей открывают для себя автоспорт, выбирают любимых пилотов и болеют за них всей душой. Возможно, среди этих мал…
Шесть часов гонки — в самых ярких кадрах! 📸
Второй этап СМП РСКГ Эндуранс на «Игора Драйв» подарил нам немало поводов для радости: победа Виталия Петрова, Сергея Сироткина и Александра Смоляра на BR03 №1, бронза экипажа №51 в составе Ирины Сидорковой, Виктории Блохиной и Егора Носова и третье место в классе GT3 для команды V Racing №90, за которую выступает пилот программы SMP Racing Кирилл Смаль.
Шесть часов борьб…
Кирилл Смаль рассказал о первом опыте V Racing в СМП РСКГ Эндуранс 🏁
В прошлые выходные команда V Racing, за которую выступает пилот программы SMP Racing Кирилл Смаль, дебютировала в спринтерских гонках СМП РСКГ, а уже сегодня впервые вышла на старт в Эндурансе также за рулём Audi R8 LMS GT3 №90.
Пропустив 12-часовую гонку на выносливость, где разыгрывалось максимальное количество очков, команда сосредоточилась на …
Ира Сидоркова подвела итоги 6-часовой гонки 🏎️
BR03 №51 под управлением Ирины Сидорковой финишировал третьим в сегодняшнем марафоне на выносливость. Экипаж провёл уверенную гонку, показал высокий темп и заработал важные очки.
🎙️В коротком интервью Ира поделилась эмоциями после финиша и рассказала о планах на следующий этап.
🏆 Александр Смоляр поделился первыми эмоциями после победы.
Именно он завершил гонку за рулём BR03 №1 и первым пересёк финишную черту.
Для экипажа Виталия Петрова, Сергея Сироткина и Александра Смоляра это уже вторая победа в сезоне СМП РСКГ — первую команда BR Engineering одержала в 12-часовой гонке на выносливость на Moscow Raceway 💪
ЭТО ПОБЕДААААА!!! 🏆
BR03 №1 (Виталий Петров, Сергей Сироткин, Александр Смоляр) — снова первый!🥇
Экипаж №51 (Егор Носов, Ирина Сидоркова, Виктория Блохина) завоевали бронзу в 6-часовом марафоне🥉
Поздравляем команду и ждем ваши эмоции в комментариях 🎉
🔉Слово главному инженеру BR Engineering
Спросили у Кирилла Шрадера, как складывается сегодняшняя гонка с его точки зрения, о ключевых моментах заезда и том, удалось ли команде сохранить первоначальную стратегию.
Ответы — в новом видео 🎬
Виктория Блохина — о двух сегодняшних отрезках гонки 🎙️
Гонщица экипажа №51 поделилась впечатлениями после двух сегодняшних стинтов: рассказала о ходе гонки, борьбе на трассе и главных сложностях заезда.
Тем временем до финала остаётся полчаса — интрига нарастает, и впереди самые важные минуты!🔥
Очередная серия пит-стопов! 🏎️
За руль BR03 №1 впервые сегодня сел Александр Смоляр. Экипаж BR03 №51 снова доверил стинт Егору Носову. На Audi R8 LMS GT3 №90 вернулся Кирилл Смаль.
Позиции экипажей сейчас:
BR03 №1 — P1
BR03 №51 — P2
Audi LMS GT3 №90 — P4
До финиша еще 2,5 часа — борьба набирает обороты!
А как сложился первый стинт для Егора Носова? 🏎️
Напомним, вчера Егор стал победителем квалификации, опередив Виталия Петрова, а сегодня вышел на старт с поула и провёл первый отрезок гонки.
В коротком интервью пилот поделился своими впечатлениями и настроем на дальнейшую борьбу.
🎙️Узнали у Виталия Петрова, каким получился старт и чем запомнился первый стинт.
Впереди ещё 4 часа напряжённой борьбы и проверка техники с пилотами на прочность. Следим дальше.
❤18👍3😍3
Showing the 12 most recent of 44 posts we hold for @smp_racing. 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.
Posts edited after publishing
@smp_racing edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
10 August 2026
Most recent edit
10 August 2026
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
Named by 7 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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
АЗС «Газпромнефть» @gpnbonus · 49,415 Telegram ranks this channel #23 of 74 here — alongside 73 others — read 25 August 2026
Russian Drift Series @russiandriftseries · 75,647 Telegram ranks this channel #62 of 87 here — alongside 86 others — read 19 August 2026
This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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.
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 10 September 2026 — this
entry's latest reading, not the date you are reading this.
“SMP Racing” (@smp_racing), 6,569 subscribers as measured 10 September 2026. Telegram Register, tgregister.com/channel/smp_racing.
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.