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Channel

ʙᴇᴛᴇᴩᴀны ʍᴀдᴩидᴀ | ᴩᴇᴀᴧ ʍᴀдᴩид

@XalaRealMadridista

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

137subscribers

-1 since we began measuring on 9 September 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003910360614
TypeChannel
Username@XalaRealMadridista
CreatedBetween 1 April 2026 and 19 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 September 2026
Last confirmed live11 September 2026
Measurements held3
Confirmed unchanged1 time, most recently 11 September 2026
On Telegramt.me/XalaRealMadridista

Growth

137138137.59 September 2026 — 138 subscribers9 September 2026 — 138 subscribers11 September 2026 — 137 subscribers9 September 202611 September 2026
3 measurements spanning 2 days, 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 137–138 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Sept 2026, 23:56137-1
9 Sept 2026, 19:22138no change
9 Sept 2026, 18:47138first reading

Engagement

13 posts held, back to 19 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
21.6%
avg views ÷ 137 subscribers
Avg views / post
29.6
10 posts measured
Reaction rate
18.9%
reactions ÷ views · ER floor
Posts in window
10
of 13 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
WindowRolling 30 days · latest post in window 1 September 2026
Posts held13 (19 August 20261 September 2026)
Views total296
Reactions total56
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Sept 2026, 19:22 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
18s
Average length
9s

Measured directly from 2 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

65 reactions across 13 posts, in 11 distinct kinds. The most used accounts for 38.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2538.5%
custom 53908717267729877211421.5%
👍69.23%
🤯57.69%
custom 534623161481484675234.62%
🎉34.62%
🤬34.62%
❤‍🔥23.08%
👏23.08%
👌11.54%
🔥11.54%

Custom emoji. 2 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.

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 13 of the 13 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 65 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 19 August 2026 to 1 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.

Recent posts

1 Sept 2026, 04:54 UTC19 views5 reactionsread 9 September 2026

Дорогие друзья! Поздравляю вас с 1 сентября — Днём знаний! Желаю вам успехов в учёбе, крепкого здоровья и достижения всех целей!

🎉31🔥1

Signed 𝚉𝚕𝚘𝚢 𝚏𝚛𝚘𝚜𝚝

25 Aug 2026, 17:40 UTC51 views14 reactionsread 9 September 2026
Photo

Винисиус жёстко сорвался на Гюлера после того, как турок отдал пас Мбаппе, а не ему. Арда! Арда! Пасуй, бл*ть! Хотя бы раз дай передачу. Е* твою мать! Каждый раз одно и то же. Одно и то же...

7🤯4🤬3

Signed 𝚉𝚕𝚘𝚢 𝚏𝚛𝚘𝚜𝚝

25 Aug 2026, 14:13 UTC40 views6 reactionsread 9 September 2026
Photo

Самые дорогостоящие трансферы «Реала» на данный момент.

2custom 53908717267729877212👍1custom 53462316148148467521

Signed 𝚉𝚕𝚘𝚢 𝚏𝚛𝚘𝚜𝚝

25 Aug 2026, 13:19 UTC34 views6 reactionsread 9 September 2026
Photo

Заявка команды «Реал Мадрид» на матч с «Реалом Сосьедад».

2👍2custom 53908717267729877212

Signed 𝚉𝚕𝚘𝚢 𝚏𝚛𝚘𝚜𝚝

25 Aug 2026, 09:12 UTC29 views6 reactionsread 9 September 2026
Video

— Заткнись! Заткнись! На место. Заткнись и сядь на место. Моуринью — аналитику из штаба «Эспаньола» после одного из эпизодов матча.

2❤‍🔥2custom 53908717267729877212

Signed 𝚉𝚕𝚘𝚢 𝚏𝚛𝚘𝚜𝚝

24 Aug 2026, 13:05 UTC27 views5 reactionsread 9 September 2026
Video

Марк Кукурелья приветствует всех болельщиков «Реала» на своей презентации!

2custom 53908717267729877212👍1

Signed .

24 Aug 2026, 10:02 UTC23 views3 reactionsread 9 September 2026
Photo

📸

1👏1custom 53908717267729877211

Signed .

24 Aug 2026, 08:31 UTC25 views3 reactionsread 9 September 2026
Photo

Кортегана сообщает, что «Мадрид» отклонил предложение «Лилля» по Тьяго Питарчу на этой неделе. Давиде Анчелотти рассматривал Тьяго как потенциальную замену Буадди.

1custom 53462316148148467521custom 53908717267729877211

Signed .

24 Aug 2026, 08:13 UTC24 views4 reactionsread 9 September 2026
Photo

По информации издания MARCA, Асенсио полностью восстановился после мышечной травмы, но его снова беспокоит боль в голени. В конце прошлого сезона Рауль играл с болью, чтобы помочь команде в сложной ситуации, когда не хватало защитников. Отдых этим летом не помог решить проблему с голенью, и игрок снова чувствует боль. Было принято решение ещё раз попробовать консервативный метод лечения. Однако, если он не даст рез

2🤯1custom 53908717267729877211

Signed .

24 Aug 2026, 06:12 UTC24 views4 reactionsread 9 September 2026

Возвращаем актив, извиняюсь за неактивность 🙏

2👌1👍1

Signed .

20 Aug 2026, 07:45 UTC46 views3 reactionsread 9 September 2026
Photo

Жозе Моуринью о «Барселоне»: «Мне нравится «Барса» Флика. Он, Деку и, конечно, их игроки — все они мне симпатичны. Они делают очень хорошую работу. Хотел бы я видеть Ямаля в «Мадриде»? Нет. Он выдающийся игрок. Это ненормально, когда в 19 или 20 лет ты уже становишься чемпионом мира и Европы. У него огромный потенциал. Но у меня есть топ-состав, и я бы ни на кого из своих игроков его не променял. Мои игроки — лучши

1👏1custom 53908717267729877211

Signed .

19 Aug 2026, 18:16 UTC42 views3 reactionsread 9 September 2026
Photo

Фотки с презентации Бернарду Силвы 🇵🇹🇪🇸 ʙᴇᴛᴇᴩᴀны ʍᴀдᴩидᴀ | ᴩᴇᴀᴧ ʍᴀдᴩид

1custom 53462316148148467521custom 53908717267729877211

Signed .

Showing the 12 most recent of 13 posts we hold for @XalaRealMadridista. 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.

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 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 September 2026 — this entry's latest reading, not the date you are reading this.

“ʙᴇᴛᴇᴩᴀны ʍᴀдᴩидᴀ | ᴩᴇᴀᴧ ʍᴀдᴩид” (@XalaRealMadridista), 137 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/XalaRealMadridista.

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.