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 11 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 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
4,480 average views per post against 1,082 subscribers — an engagement rate of 414.4%. Across the 54,164 registered channels in the same cohort — 1,000–3,162 subscribers, posting mainly in Russian — the middle half sit between 10.5% and 35.6%, with a median of 20.1%.
What this was computed from
Window
30 days (13 July 2026 – 12 August 2026)
Posts measured
20 of 20 published in the window (0 exact, 20 rounded by Telegram)
Views totalled
89,680
Mature posts only
451.7% over 17 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 12 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.
Growth
2 measurements taken within a single day, net -1. 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 1,082–1,083 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Aug 2026, 01:41
1,082
-1
10 Aug 2026, 23:16
1,083
first reading
Engagement
20 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
414.4%
avg views ÷ 1,082 subscribers
Avg views / post
4,480
20 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
20
of 20 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 10 August 2026
Posts held
20 (4 August 2026 – 10 August 2026)
Views total
89,680
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Aug 2026, 23:16 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.
🏴 Андрей Сантос о переходе в «Юнайтед»:
Чувствую себя хорошо. Я ощущаю себя здесь как дома.
С самого первого дня все тепло меня приняли. Я рад быть здесь.
🏴 The Guardian | «Челси» готовит трансфер полузащитника ПСЖ Фабиана Руиса и потенциально может предложить более € 60 миллионов. 💰
Хаби Алонсо хочет видеть испанца в своей команде, хотя Фабиан недавно продлил контракт с ПСЖ и намерен остаться. 😬
🏴 Football Insider | «Тоттенхэм» продвигается в переговорах с «Манчестер Сити» о подписании Савиньо и рассчитывает завершить сделку.
«Шпоры» согласовали личные условия с 22-летним игроком. Для завершения трансфера может быть достаточно общей суммы в размере 60 миллионов фунтов стерлингов.
🚨 Фабрицио Романо:
Херонимо Рульи переходит в «Манчестер Сити» из «Марселя», Here We Go! 🔵
Сумма трансфера составит 3,8 млн евро. Контракт до лета 2028 года с опцией продления на один сезон.
🏴 Caught Offside | «Ньюкасл» готов продать Ника Вольтемаде этим летом, если будет удовлетворена запрашиваемая цена в 55,7 млн фунтов стерлингов. 💰🇩🇪
В настоящее время наибольший интерес к нападающему проявляют «Астон Вилла», «Атлетико Мадрид» и «Боруссия Дортмунд», а также «Манчестер Юнайтед» и «Ливерпуль». 👀
Showing the 12 most recent of 20 posts we hold for @englandpremier_league. 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.
Citation-graph rank
Citation-graph rank — 934,009 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Mentions
Named by 1 registered channel — 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 11 August 2026 — this
entry's latest reading, not the date you are reading this.
“Английская Премьер-Лига | АПЛ” (@englandpremier_league), 1,082 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/englandpremier_league.
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.
