Главные новости спорта быстро и коротко.
✅ Проект Sport24.ru
🤝 Партнер: @fonbet_official
Регистрация РКН: https://rknn.link/Iz
Наши каналы: https://t.me/addlist/UZXKu1AeO7ZmOWJi
Реклама только тут: [email protected]
Created
23 August 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Sports — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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 the other topics.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (2 of the pairs behind the counts below)
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 2 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 31 comparable posts for this entry, running 4 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 2, the earliest publisher we hold is @ftbl11. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, last confirmed 8 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
57 measurements spanning 93 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 11,443–11,600 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 57
Measured (UTC)
Subscribers
Change
6 Nov 2026, 18:39
11,490
+4
5 Nov 2026, 18:40
11,486
-2
3 Nov 2026, 21:51
11,488
+5
2 Nov 2026, 20:27
11,483
-1
1 Nov 2026, 17:19
11,484
-4
30 Oct 2026, 17:58
11,488
-5
29 Oct 2026, 17:11
11,493
-5
28 Oct 2026, 17:55
11,498
-8
27 Oct 2026, 15:17
11,506
+8
26 Oct 2026, 17:19
11,498
-10
25 Oct 2026, 13:45
11,508
-4
23 Oct 2026, 16:27
11,512
+1
22 Oct 2026, 18:57
11,511
-3
21 Oct 2026, 17:20
11,514
-9
20 Oct 2026, 10:14
11,523
+9
19 Oct 2026, 10:55
11,514
+53
18 Oct 2026, 10:57
11,461
-4
17 Oct 2026, 14:31
11,465
-4
16 Oct 2026, 15:40
11,469
+1
15 Oct 2026, 15:39
11,468
first reading
Engagement
447 posts held, back to 4 August 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 54 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
18.0%
avg views ÷ 11,490 subscribers
Avg views / post
2,070
83 posts measured
Reaction rate
0.993%
reactions ÷ views · ER floor
Posts in window
83
of 447 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. It is computed over the 82 of 83 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 7 November 2026
Posts held
447 (4 August 2026 – 7 November 2026)
Views total
171,644
Reactions total
1,687
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Nov 2026, 20:24 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
Photos
≈21,500
Videos
≈902
Links
≈4,690
Lifetime counters from Telegram’s own channel header, read 7 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
28m 13s
Average length
42s
Measured directly from 40 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
9,689 reactions across 425 posts, in 33 distinct kinds. The most used accounts for 27.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,617
27.0%
👍
1,809
18.7%
🤡
1,297
13.4%
🔥
884
9.12%
🤣
590
6.09%
😁
560
5.78%
👎
410
4.23%
🤬
274
2.83%
😢
252
2.60%
💔
126
1.30%
👏
115
1.19%
😡
104
1.07%
😭
102
1.05%
😱
72
0.743%
🤯
69
0.712%
🙏
66
0.681%
💯
54
0.557%
🍾
46
0.475%
⚡
43
0.444%
🤷♂
43
0.444%
13 further kinds
156
1.61%
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 437 of the 447 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 10,004 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 447 most recent posts we hold, published 4 August 2026 to 7 November 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.
Telegram Stars
Stars received
2
across the posts below
Posts paid on
2
of 447 we hold a reading for · 0.4%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @srochnosport. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 447 most recent posts we hold for this entry, published 4 August 2026 to 7 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Recent posts
Telegram’s own ‘edited’ marker: 21 of 83 posts held from the last 30 days (25.3%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
❗️Овечкин не может забить в НХЛ уже на протяжении 10 матчей 😕
«Вашингтон Кэпиталз» одержал домашнюю победу над командой «Флорида Пантерз» в рамках регулярного чемпионата НХЛ. Игра завершилась со счетом 4:3.
Легендарный российский нападающий «Кэпиталз» Александр Овечкин не смог отметиться ни заброшенной шайбой, ни ассистом. 41-летний хоккеист не может забить в НХЛ уже на протяжении 10 матчей.
Овечкин в нынешнем сез…
Третье поражение «Ман Сити» в АПЛ подряд — «Арсенал» оторвался уже на шесть очков 🤯
Лиам Делап оформил победный дубль — и отпраздновал в стиле Криштиану 😎
Кто последний в очереди на увольнение? Мареска спрашивает 😏
⚽️ Наш канал в МАКС
«Можете не ездить!»
Главный тренер «Динамо» Леонид Тамбиев поругался с болельщиками после поражения от нижегородского «Торпедо» в матче регулярного чемпионата КХЛ.
Игра состоялась 7 ноября в Нижнем Новгороде и завершилась со счетом 4:3 в пользу торпедовцев.
«Динамо» занимает 7-е место в Западной конференции КХЛ. В СМИ сообщалось о вероятной смене главного тренера команды.
Президент США Дональд Трамп предложил главе UFC Дэйне Уайту стать пресс-секретарем Белого дома.
Трамп попросил Уайта взять с собой в качестве помощников нескольких бойцов UFC, включая Ислама Махачева и Хабиба Нурмагомедова, чтобы «защищать нас от безумных левых».
🔥 «КРАСНОДАР» ВПЕРВЫЕ ПОБЕДИЛ В РПЛ ОСЕНЬЮ!
Кордоба включил режим настоящего быка — забил два крутых гола 🔝
Кризис банды Мусаева — всё? ❌
⚽️ Наш канал в МАКС
Леау и Батраков уложили «Амед» спать. Шестая победа «Галатасарая» подряд 😴
У Лёхи гол + ассист на автогол вратаря, который не пойдёт в статистику 😏
⚽️ Наш канал в МАКС
Грубые ошибки вратаря и защитника ЦСКА привели к голу «Краснодара» в матче РПЛ.
После первого тайма «Краснодар» выигрывает у ЦСКА со счетом 2:1.
«Это очень похоже на самый курьезный гол сезона😲😳», — оценили взятие ворот в официальном телеграм-канале РПЛ.
Батраков теперь забил и сам, сделав счет 3:0 в пользу «Галатасарая» на 59-й минуте.
Однако «Амед» почти сразу отыграл два гола — на 62-й и 65-й минутах. На данный момент счет в матче чемпионата Турции — 3:2 в пользу «Галатасарая».
Команда экс-тренера ЦСКА Челестини потерпела удивительное поражение в Англии, громя соперника со счетом 4:1 до 65-й минуты матча 😳
Победный гол был забит на 90+5-й минуте.
«Бернли» находится в зоне вылета Чемпионшипа — на 22-м месте из 24 возможных.
«Арсенал» снова победил и не пропустил в четвёртом матче АПЛ подряд 🔥
Эдегор классно сыграл на добивании 😎
⚽️ Наш канал в МАКС
❤4😎2
Showing the 12 most recent of 447 posts we hold for @srochnosport. 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
@srochnosport edited 4 posts 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
9 August 2026
Most recent edit
21 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 15 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.
РИА Новости Спорт @sportrian · 41,544 Telegram ranks this channel #6 of 90 here — alongside 89 others — read 29 August 2026
11 на 11 @ftbl11 · 18,567 Telegram ranks this channel #10 of 95 here — alongside 94 others — read 4 October 2026
Реальный Губер 🤘🏻 @RealGuberniev · 79,175 Telegram ranks this channel #22 of 93 here — alongside 92 others — read 18 August 2026
Матч ТВ. Только новости @news_matchtv · 89,982 Telegram ranks this channel #27 of 97 here — alongside 96 others — read 17 August 2026
Metaratings @Metaratings · 28,123 Telegram ranks this channel #33 of 99 here — alongside 98 others — read 9 September 2026
о футболе на Руси | Алланазаров @registaJournalista · 19,688 Telegram ranks this channel #36 of 100 here — alongside 99 others — read 30 September 2026
Спорт-Экспресс | Sport-Express @sportexpress · 101,132 Telegram ranks this channel #38 of 99 here — alongside 98 others — read 15 August 2026
Олимпийский комитет России @olympic_russia · 29,410 Telegram ranks this channel #39 of 86 here — alongside 85 others — read 8 September 2026
Первый спорт @pervsport · 91,053 Telegram ranks this channel #39 of 99 here — alongside 98 others — read 16 August 2026
ЭкСпорт Клипина @xsport24 · 38,006 Telegram ranks this channel #49 of 99 here — alongside 98 others — read 1 September 2026
Советский спорт @sovsport · 42,689 Telegram ranks this channel #53 of 97 here — alongside 96 others — read 28 August 2026
РБ Спорт @rbsportrb · 48,215 Telegram ranks this channel #53 of 100 here — alongside 99 others — read 25 August 2026
Панк инсайд @punkinside · 39,497 Telegram ranks this channel #57 of 100 here — alongside 99 others — read 31 August 2026
РФС @rfsruofficial · 48,564 Telegram ranks this channel #58 of 100 here — alongside 99 others — read 27 August 2026
Чемпионат @championat · 247,927 Telegram ranks this channel #68 of 97 here — alongside 96 others — read 10 August 2026
ФК Нижний Новгород @fcparinn · 23,837 Telegram ranks this channel #70 of 99 here — alongside 98 others — read 17 September 2026
Transfermarkt Official @transfermarktru · 33,049 Telegram ranks this channel #71 of 96 here — alongside 95 others — read 3 September 2026
ФК «Сочи» @Sochipfc · 20,592 Telegram ranks this channel #74 of 100 here — alongside 99 others — read 18 September 2026
Фигурка @figurka24 · 47,533 Telegram ranks this channel #80 of 84 here — alongside 83 others — read 28 August 2026
This channel appears in 19 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 6 November 2026 — this
entry's latest reading, not the date you are reading this.
“Срочный спорт | Sport24” (@srochnosport), 11,490 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/srochnosport.
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.