Независимая спортивная журналистика
https://youtube.com/@vityakravchenko
По вопросам рекламы и сотрудничества:
[email protected]
РКН : https://www.gosuslugi.ru/snet/6787bd768f8bd4206f82b47c
Created
23 March 2021 — 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 20 August 2026 and assigned it the closest of 31 fixed categories, at 88% 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.
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.
Views per post sit far above this size band
43,800 average views per post against 59,465 subscribers — an engagement rate of 73.7%. Across the 8,348 registered channels in the same cohort — 31,624–99,993 subscribers, posting mainly in Russian — the middle half sit between 5.04% and 20.9%, with a median of 10.4%.
What this was computed from
Window
30 days (30 August 2026 – 29 September 2026)
Posts measured
10 of 10 published in the window (0 exact, 10 rounded by Telegram)
Views totalled
438,200
Mature posts only
73.7% over 10 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_high, last confirmed 29 September 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.
Growth
34 measurements spanning 52 days, net +315. 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 59,062–59,633 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
27 Sept 2026, 06:18
59,465
+22
17 Sept 2026, 12:15
59,443
-35
15 Sept 2026, 13:20
59,478
+28
13 Sept 2026, 21:21
59,450
-10
12 Sept 2026, 06:38
59,460
+22
9 Sept 2026, 22:22
59,438
-28
6 Sept 2026, 15:59
59,466
+60
4 Sept 2026, 01:57
59,406
+1
2 Sept 2026, 13:43
59,405
-15
1 Sept 2026, 14:13
59,420
-77
31 Aug 2026, 13:54
59,497
-52
30 Aug 2026, 13:13
59,549
-17
29 Aug 2026, 13:23
59,566
-1
28 Aug 2026, 15:12
59,567
+68
27 Aug 2026, 12:33
59,499
+5
26 Aug 2026, 13:52
59,494
+2
25 Aug 2026, 12:47
59,492
-26
24 Aug 2026, 11:05
59,518
+29
22 Aug 2026, 16:48
59,489
+61
21 Aug 2026, 08:33
59,428
first reading
Engagement
23 posts held, back to 7 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 109 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
73.7%
avg views ÷ 59,465 subscribers
Avg views / post
43,800
10 posts measured
Reaction rate
5.06%
reactions ÷ views · ER floor
Posts in window
10
of 23 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 26 September 2026
Posts held
23 (7 July 2026 – 26 September 2026)
Views total
438,200
Reactions total
22,156
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
29 Sept 2026, 04:24 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
≈1,210
Videos
≈204
Links
≈216
Lifetime counters from Telegram’s own channel header, read 29 September 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
4m 13s
Average length
42s
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.
Reaction mix
51,735 reactions across 23 posts, in 39 distinct kinds. The most used accounts for 48.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
25,202
48.7%
🔥
4,303
8.32%
😢
3,241
6.26%
😁
2,960
5.72%
💔
2,902
5.61%
👍
2,606
5.04%
💯
2,126
4.11%
❤🔥
1,615
3.12%
🤣
1,389
2.68%
🤬
1,326
2.56%
🕊
883
1.71%
👏
522
1.01%
😭
498
0.963%
👎
433
0.837%
🙏
406
0.785%
🤷♂
160
0.309%
🙈
152
0.294%
😱
134
0.259%
✍
118
0.228%
💘
115
0.222%
19 further kinds
644
1.24%
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 23 of the 23 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 51,735 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 23 most recent posts we hold, published 7 July 2026 to 26 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.
Telegram Stars
Stars received
167
across the posts below
Posts paid on
22
of 23 we hold a reading for · 96%
Most on one post
24
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @vityakravchenko. 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 23 most recent posts we hold for this entry, published 7 July 2026 to 26 September 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.
благодарна Вите, что он опубликовал важный текст, на тему, о которой я рассуждаю уже очень давно. Прочтите пожалуйста, а я продолжу:
непросто подбирать слова и не поддаваться эмоциям, когда речь идет не только о тебе, но и об оценке и обесценивании тебя и твоего психологического состояния.
Я не хочу защищаться, но мне хотелось бы защитить других.
Помимо оправдания насилия в видео звучит один очень опасный вопрос: «…
За последние годы спортивная индустрия сильно изменилась - и в основе многих перемен лежат нейросети.
Скауты, которые раньше оценивали игроков «на глаз», теперь опираются на алгоритмы - ИИ анализирует данные тысяч спортсменов по всему миру и находит таланты, которых не заметили бы люди.
Судейство стало точнее. В футболе система определения офсайда сокращает время решения с минут до секунд, а в теннисе Hawk-Eye почт…
Фрагмент из интервью Этери Тутберидзе, где она оправдывает слова и методы Ирины Винер.
Знаменитый отрывок из фильма, где Ирина Винер посылает нахер Риту Мамун и несколько раз по слогам называет ее «полным гавном», Тутберидзе объясняет просто:
«Она подготовила ее к Олимпиаде? Она ее выиграла?»
Любые методы, насилие, оскорбления - оправданы, если принесли результат.
Так думает не только Тутберидзе или Винер, а добр…
Уроженка Москвы Елена Рыбакина вышла на 1-е место в рейтинге WTA.
Так подаются новости про Лену в России.
И говорит это лишь о том, что случай с Рыбакиной - не последний. Не последний раз суперталантливый спортсмен поменяет гражданство и уйдёт выступать за другую страну.
Даже выход на 1-е место в мировом рейтинге не дал повода российским СМИ задаться вопросом: как это произошло? Как вышло, что российская теннисная…
Никогда бы не подумал, что в этом канале появится ссылка на Госуслуги, но:
Как человек, который рекламировал букмекеров, не могу не написать, что на портале появилась функция самозапрета на ставки у букмекеров.
Ставки на спорт - неотъемлемая часть профессионального спорта во всем мире. Без них индустрии спорта такой, какой мы ее знаем сейчас - не существовало бы. Это также очевидно, как и то, что ставки ломают судь…
Действующий тренажерный зал. 300 км от Москвы.
Все гантели и тренажеры самодельные, сделаны из арматуры и металла в 1980 году.
Картины на стенах нарисованы акварельным мелом. Тем же тренером, который сделал и тренажеры. На них изображены Арнольд Шварценеггер и Франко Коломбо.
Последние дни провожу за изучением творчества одного из лучших фотографов России Дмитрия Маркова.
Уже говорил, что свои работы снимаю в том числе с мыслями о том, как они будут выглядеть через 20–30 лет. Хоть и нет никакой гарантии, что их будут смотреть (скорее всего, наоборот), но это хорошая призма оценки и мотивация.
Для этого постоянно задаюсь вопросом: сможет ли человек по ним лучше понять людей, которые прож…
Спортивная сумка, которая спасёт ваши отношения.
Одна из главных проблем в наших отношениях с Ренатой — мои грязные бутсы в коридоре. И крошка от искусственного поля, которая оставалась на полу и потом появлялась в самых неожиданных местах.
Но будущее наступило, ребята.
Теперь бутсы, как и форму, не обязательно доставать из сумки сразу после тренировки. Бренд QYRON выпустил модель, внутри которой встроена дезинфек…
На следующий день после поста директору стадиона, где планировали построить поле, позвонили от Умара Кремлёва. Принесли извинения.
Вчера в Бокситогорск уже приехали двое помощников Кремлёва из Москвы. Вместе с директором они встретились с главой города и снова пообещали положить поле.
Дело сдвинулось. Спасибо всем, кто помог распространить информацию.
Ждём дальнейшего развития событий.
На первой фотографии Алексей Виноградов — детский тренер из Бокситогорска, герой нашего выпуска про Игоря Денисова. Алексей учил детей играть в футбол, а ранними утрами подрабатывал на кладбище, потому что на зарплату тренера в 27 тысяч рублей жить очень сложно.
На второй фотографии Умар Кремлёв — президент Международной ассоциации бокса, а также один из самых влиятельных людей в российском игорном бизнесе. Владелец…
😢2,990💔979🤬592😭164😐93❤69🤣63💊29
Showing the 12 most recent of 23 posts we hold for @vityakravchenko. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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 10 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 22 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
kuji @kujikuji · 49,920 Telegram ranks this channel #15 of 83 here — alongside 82 others — read 8 September 2026
Голый спорт @fyiwdwytm · 20,432 Telegram ranks this channel #22 of 80 here — alongside 79 others — read 27 September 2026
Реальный Губер 🤘🏻 @RealGuberniev · 80,090 Telegram ranks this channel #31 of 93 here — alongside 92 others — read 18 August 2026
Леван Горозия / L’ONE @gorozia_levan · 22,513 Telegram ranks this channel #33 of 87 here — alongside 86 others — read 20 September 2026
БОЛЬШЕ! @tennis_bolshe · 60,636 Telegram ranks this channel #36 of 88 here — alongside 87 others — read 22 August 2026
А поговорить? | Ирина Шихман @apogovoritofficial · 44,895 Telegram ranks this channel #39 of 97 here — alongside 96 others — read 27 August 2026
Across the Runiverse @across_the_runiverse · 26,041 Telegram ranks this channel #43 of 77 here — alongside 76 others — read 13 September 2026
Дудь @yurydud · 862,341 Telegram ranks this channel #44 of 96 here — alongside 95 others — read 8 August 2026
Хочу домой - Путешествия, в которые вы не поедете @hochu_domoj · 30,198 Telegram ranks this channel #45 of 88 here — alongside 87 others — read 7 September 2026
Скажи Гордеевой @skazhigordeevoy · 112,412 Telegram ranks this channel #55 of 98 here — alongside 97 others — read 15 August 2026
«Футбольный клуб» Василия Уткина @QryaProDucktion · 63,326 Telegram ranks this channel #68 of 98 here — alongside 97 others — read 21 August 2026
Nobel @nobel_arustamyan · 39,420 Telegram ranks this channel #70 of 100 here — alongside 99 others — read 30 August 2026
Будни Бобана @BudniBobana · 23,960 Telegram ranks this channel #77 of 95 here — alongside 94 others — read 17 September 2026
Anacondaz @anacondaz_official · 48,006 Telegram ranks this channel #81 of 83 here — alongside 82 others — read 13 September 2026
Здесь был Тимур | Тимур Журавель @timzhur · 26,735 Telegram ranks this channel #84 of 100 here — alongside 99 others — read 12 September 2026
ПЛАНЕТКА / культовый канал @petenkaplanetka · 58,594 Telegram ranks this channel #85 of 90 here — alongside 89 others — read 6 September 2026
Тамара Эйдельман @eidelman · 79,136 Telegram ranks this channel #89 of 98 here — alongside 97 others — read 19 August 2026
Parfenon @leonidparfenov_official · 77,475 Telegram ranks this channel #91 of 98 here — alongside 97 others — read 19 August 2026
Он Эйр | Роман Нагучев @offearth · 48,461 Telegram ranks this channel #92 of 100 here — alongside 99 others — read 26 August 2026
Картавый Футбол объединяет! @KFNik · 95,839 Telegram ranks this channel #92 of 95 here — alongside 94 others — read 16 August 2026
Сплошняк | Дмитрий Шнякин @shhhnyakin · 38,639 Telegram ranks this channel #95 of 99 here — alongside 98 others — read 31 August 2026
ВГИК @vgik_of · 37,745 Telegram ranks this channel #96 of 98 here — alongside 97 others — read 31 August 2026
Эль Хугадор | Денис Алхазов @alhasbro · 25,270 Telegram ranks this channel #97 of 97 here — alongside 96 others — read 14 September 2026
Казанский Код @deniskazansky · 24,271 Telegram ranks this channel #98 of 100 here — alongside 99 others — read 17 September 2026
This channel appears in 26 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 27 September 2026 — this
entry's latest reading, not the date you are reading this.
“Витя Кравченко” (@vityakravchenko), 59,465 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/vityakravchenko.
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.
