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 11 September 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 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
10,700 average views per post against 11,609 subscribers — an engagement rate of 91.8%. Across the 17,892 registered channels in the same cohort — 10,000–31,614 subscribers, posting mainly in Russian — the middle half sit between 4.79% and 17.8%, with a median of 9.22%.
What this was computed from
Window
30 days (23 August 2026 – 22 September 2026)
Posts measured
26 of 26 published in the window (0 exact, 26 rounded by Telegram)
Views totalled
277,060
Mature posts only
94.6% over 24 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 22 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 44 days, net -13,852. 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 9,531–27,539 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
19 Sept 2026, 17:41
11,609
-372
17 Sept 2026, 05:39
11,981
-631
15 Sept 2026, 05:56
12,612
-404
13 Sept 2026, 13:56
13,016
-488
11 Sept 2026, 19:02
13,504
+139
9 Sept 2026, 07:21
13,365
-1,629
6 Sept 2026, 03:18
14,994
-3,477
3 Sept 2026, 22:00
18,471
-1,443
2 Sept 2026, 13:05
19,914
-214
1 Sept 2026, 11:58
20,128
-197
31 Aug 2026, 12:54
20,325
-170
30 Aug 2026, 12:57
20,495
-285
29 Aug 2026, 11:54
20,780
-282
28 Aug 2026, 13:09
21,062
-247
27 Aug 2026, 10:33
21,309
-143
26 Aug 2026, 13:07
21,452
-259
25 Aug 2026, 09:33
21,711
-575
24 Aug 2026, 06:22
22,286
-257
22 Aug 2026, 11:22
22,543
-1,500
21 Aug 2026, 01:54
24,043
first reading
Engagement
76 posts held, back to 31 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 57 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
91.8%
avg views ÷ 11,609 subscribers
Avg views / post
10,700
26 posts measured
Reaction rate
0.758%
reactions ÷ views · ER floor
Posts in window
26
of 76 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 2 September 2026
Posts held
76 (31 July 2026 – 2 September 2026)
Views total
277,060
Reactions total
2,101
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 00:57 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.
Reaction mix
7,579 reactions across 76 posts, in 15 distinct kinds. The most used accounts for 23.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
1,803
23.8%
❤
1,778
23.5%
👏
1,607
21.2%
🔥
1,555
20.5%
👌
229
3.02%
🤝
197
2.60%
👎
140
1.85%
🥰
98
1.29%
🙏
30
0.396%
🤗
30
0.396%
🤡
30
0.396%
🏆
27
0.356%
💩
27
0.356%
😨
15
0.198%
🤣
13
0.172%
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 76 of the 76 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 7,579 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 76 most recent posts we hold, published 31 July 2026 to 2 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.
⚡️⚡️🇷🇺 Иван Карпов | «Динамо» может рассмотреть подписание Арсена Захаряна вместо Платы и Мартинса
«Бело-голубые» изучают вариант с возвращением 23-летнего россиянина, который провел лучший отрезок в карьере при Шварце.
У Арсена были проблемы со здоровьем в Испании, однако москвичи могут рассмотреть возможность его аренды на сезон
При этом переговоров между клубами и представителями игрока еще не было
PRO Российс…
⚡️⚡️ Иван Карпов | Андрей Мостовой НЕ продлит контракт с «Зенитом» и отказался от половины официально зарплаты ради аренды в «Локомотив»
По истечению срока аренды действие контракта Мостового с «Зенитом» закончится. «Локо» будет платить игроку 9 млн рублей в месяц
• Анар Ибрагимов | Мостовой уже не сыграет за «Зенит». На завтрашнем матче с махачкалинским «Динамо» игрока уже не будет. Возможно, он даже сможет принят…
⚡️⚡️ Иван Карпов | Брайан Хиль может перейти в «Локомотив» за 5-7 млн евро.
Помимо двух игроков в центр поля (Титков + Олейников), «паровозы» хотят взять еще и забивного нападающего.
Немного подзаработав, клуб выделил на покупку нападающего 5-6 млн евро. И теперь Ротенберг собирается потратить их, как один из вариантов, на форварда «Балтики». Хотя сами калининградцы рассчитывают выручить за Брайана не менее 7 млн е…
⚡️⚡️ «Чемпионат» | ЦСКА и «Аль-Джазира» продвинулись в переговорах по нападающему Симону Банза
Есть вероятность, что 30-летний игрок пройдет медосмотр уже в ближайшие дни, после чего подпишет контракт с московским клубом
Нынешний контракт игрока с клубом из ОАЭ рассчитан до лета 2028 года. В сезоне 25/26 он оформил 9+1 за 1256 минут во всех турнирах. Сезон 26/27 он начал с двух забитых мячей в первых четырех матчах…
⚽️ «Краснодар» стал главным претендентом на победу в сезоне-2026/27 РПЛ по версии Opta
После шести туров шансы «быков», выигравших все свои матчи, оцениваются в 57,8%.
«Зенит», который считался основным фаворитом до старта чемпионата, теперь занимает вторую строчку (25,2%) — у клуба четыре победы и два поражения.
Третьим идет набравший 13 очков «Спартак» с вероятностью титула в 12%.
PRO Российский футбол
❗️«Зенит» согласился продать нападающего Луиса Энрике в «Рому» за €40 млн, – ESPN
Римский клуб согласовал покупку бразильского форварда петербуржцев после того, как у него сорвался трансфер однофамильца из «Интера».
PRO Российский футбол
⚡️⚡️ Иван Карпов | Мохамед Аззи переходит в ЦСКА за 3,25 млн евро до 2030 года
Стороны согласовали трансфер 24-летнего алжирца, который подпишет с армейцами контракт по схеме 4+1. «Махачкала» сохранит за собой 10% от прибыли с перепродажи
Аззи сегодня будет в Казани на прощальном матче и далее отправится в Москву на медобследование перед переходом в ЦСКА
PRO Российский футбол
⚡️⚡️🇮🇹 ESPN Brazil | «Рома» дала понять «Зениту», что готова предложить 40 млн евро за Луиса Энрике. Переговоры идут
Римский клуб ищет вингера в последние дни ТО и бразилец находится в шорт-листе «волков»
PRO Российский футбол
⚡️⚡️🇬🇷 Иван Карпов | Диего Коста близок к переходу в ПАОК из «Краснодара» на правах аренды с опцией выкупа за 8 млн евро
Стороны сейчас добивают сделку. Диего в «Краснодаре» может заменить как раз 23-летний уругваец Майсон Родригес
PRO Российский футбол
⚡️🇪🇨 25-летний вингер сборной Эквадора Гонсало Плата переходит в московское «Динамо» за 12 млн евро.
Его прибытие запланировано на воскресенье для прохождения медицинского обследования и подписания контракта.
🖱 Vene Casagrande
PRO Российский футбол
❤28👍18🔥17👏16
Showing the 12 most recent of 76 posts we hold for @ProRPLfootball. 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.
Mentions
Named by 4 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.
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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“PRO РПЛ Российский футбол” (@ProRPLfootball), 11,609 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/ProRPLfootball.
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.