5 measurements spanning 10 days, net -35. 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 5,291–5,336 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Aug 2026, 14:55
5,296
-20
14 Aug 2026, 00:07
5,316
-12
11 Aug 2026, 01:24
5,328
-3
7 Aug 2026, 13:46
5,331
no change
7 Aug 2026, 13:33
5,331
first reading
Engagement
16 posts held, back to 20 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 7 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
11.7%
avg views ÷ 5,296 subscribers
Avg views / post
619
16 posts measured
Reaction rate
1.79%
reactions ÷ views · ER floor
Posts in window
16
of 16 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 15 of 16 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 28 July 2026
Posts held
16 (20 July 2026 – 28 July 2026)
Views total
9,897
Reactions total
167
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 04:27 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
5m 01s
Average length
19s
Measured directly from 16 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
167 reactions across 15 posts, in 9 distinct kinds. The most used accounts for 52.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
87
52.1%
❤
58
34.7%
👏
8
4.79%
🤡
7
4.19%
⚡
2
1.20%
🤔
2
1.20%
❤🔥
1
0.599%
👍
1
0.599%
😱
1
0.599%
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 15 of the 16 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 167reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 20 July 2026 to 28 July 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.
Защита выигрывает матчи 🎾
Все хотят красиво гасить у сетки. Но на одном смэше далеко не уедешь — реальный уровень игрока виден в его квадрате.
Посмотрите на видео: парень буквально «забетонировал» зону у стекла. Когда ты спокойно достаешь всё из глубины, соперник начинает паниковать, рисковать и ошибаться первым.
А ты кто на корте? 👇
🔥 — Железобетонная стена
❤️ — Атакующий
🤡 — Пытаюсь просто выжить у стекла
🎾 pad…
Удар дня: Гениальность или везение? 🎾👇
На видео тренер по паделу показывает жесткий трюк: заблокировал мощный смэш соперника, сыграв от своего стекла, да еще и отвернувшись.
Как думаете, каков процент удачи в таких розыгрышах?
❤️ — 100% скилл, чистая мышечная память и чувство корта
👏 — 80% везения и 20% "просто подставил ракетку"
🤯 — Мне кажется, он сам не понял, как это вышло
🎾 padel people
Это был не просто розыгрыш — это демонстрация интеллекта, техники и невероятного чутья кортов. Тапиа в своей лучшей форме! ✨🔥
Как вам такой розыгрыш?
❤️ — Гений, лучшая защита и атака!
🔥 — Нереальный уровень, Тапиа — машина!
🎾 padel people
Пакито снова устраивает настоящее шоу на корте! 🪄
Что думаете по поводу этого эпизода?
❤️ — Пакито прав, засчитываем очко!
🔥 — Это явно нарушение правил!
🎾 padel people
В ЭТОМ РОЗЫГРЫШЕ ЛЮБИТЕЛЕЙ БОЛЬШЕ ЭМОЦИЙ, ЧЕМ ВО МНОГИХ ПРОФЕССИОНАЛЬНЫХ ФИНАЛАХ 💡
Это одно из тех «олдскульных» видео, которые смотришь на одном дыхании.
И это не просто соперничество, а чистая радость в каждом розыгрыше. Любительский падел в своём лучшем проявлении: талант, пот и улыбки в одном моменте. Если вы думаете, что красивую игру показывают только профи — приготовьтесь удивляться. 😏
🎾 padel people
Когда тишина стадиона громче любых криков... 🔥
Этот розыгрыш между парами Галан/Чинготто и Тапиа/Коэльо — из тех, что заставляют весь стадион затаить дыхание.
❤️ – Смотрим и наслаждаемся красивым паделом!
🎾 padel people
🎾 Как вес ракетки влияет на отскок мяча?
Разница всего в 10–20 граммов кажется незначительной, пока мяч не касается поверхности ракетки.
🟢 355 г: Самый низкий отскок. Мяч меньше «пружинит» от ракетки сам по себе, поэтому для мощных ударов придется вкладывать больше собственных усилий и разгона. Зато получаем максимальную маневренность у сетки!
🟣 365 г: Золотая середина. Баланс между хорошей скоростью вылета мяча …
Идеальный драйв с топ-спином в замедленной съёмке 🎾🔥
Отличный способ закрутить мяч так, чтобы после отскока он вылетел за 3-метровую боковую стенку.
Кто уже пробовал так крутить? Рабочая схема на ваших играх или чаще мяч всё же остаётся в корте? 👇
🎾 padel people
Даже на диагональной тренировке (1:1) запредельная интенсивность.
💬 Как думаете, тренировка по диагонали больше качает контроль и выносливость или всё-таки тактическое видение?
🎾 padel people
Жесткость ракетки в паделе: как выбрать под свой стиль? 🎾
Многие при выборе ракетки смотрят только на форму или дизайн, но именно жесткость пены (ядра) определяет, как мяч будет вести себя при ударе.
Разбираем 4 основных типа:
🔴 Super Hard (Очень жесткая) — для продвинутых игроков.
Дает максимальный контроль и хирургическую точность, но не прощает ошибок в технике.
🔴 Hard (Жесткая) — отличный выбор для агрессивного…
Nike официально выходит на рынок падела! 🎾😎
Спортивный гигант готов ворваться в мир падела. На закрытом ивенте бренда Дрейка (Nike x NOCTA) были впервые замечены первые модели ракеток линейки Founders’ Edition:
➡️ Court Attack — геометрическая форма для агрессивной атаки.
➡️ Court Command — асимметричный мост и уникальное перфорирование.
➡️ Court Balance — гибридная форма из карбона 12K для идеального контроля.
Нови…
❤6🤔2
Showing the 12 most recent of 16 posts we hold for @padel_people. 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 — 721,324 of 1,481,306entries 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.
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 3 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 17 August 2026 — this
entry's latest reading, not the date you are reading this.
“padel people” (@padel_people), 5,296 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/padel_people.
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.