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Telegram profile photo for Real Madrid C.F.

Channel

Real Madrid C.F.

@real_madrid

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

110,903subscribers

-2,730 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001100384194
TypeChannel
Username@real_madrid
DescriptionReal Madrid English News Telegram Channel Our group 👥: https://t.me/realmadrid13_chat 📢 Contact info: @grpuiit 💸 Ads: @Source_Ads, https://telega.io/c/real_madrid
Created3 March 2017 — measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live11 November 2026
Measurements held66
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/real_madrid

Topic

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 9 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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 the other topics.

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.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 6 other registered channels. This entry also forms a group of 2 channels linked by matching posts. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@real_madrid/58224 · this entry15 Aug 2026, 19:00 UTC@RealMadridCFen/1727216 Aug 2026, 08:56 UTC1.0014 hours
@real_madrid/58288 · this entry20 Aug 2026, 15:35 UTC@RealMadridCFen/1737720 Aug 2026, 19:35 UTC1.004.0 hours
@real_madrid/58316 · this entry21 Aug 2026, 18:00 UTC@RealMadridCFen/1740321 Aug 2026, 20:22 UTC1.002.4 hours
@real_madrid/58590 · this entry2 Sept 2026, 19:01 UTC@RealMadridCFen/175682 Sept 2026, 20:24 UTC1.0083 minutes
@real_madrid/59005 · this entry27 Sept 2026, 18:02 UTC@RealMadridCFen/1805827 Sept 2026, 18:56 UTC1.0053 minutes
@real_madrid/59221 · this entry13 Oct 2026, 19:03 UTC@RealMadridCFen/1833914 Oct 2026, 08:07 UTC1.0013 hours
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@RealMadridCFen31 (8/8 hand-verifiable sample passed)1.002.6 hoursthis entry (31–0)
@realmadridfran13 (8/8 hand-verifiable sample passed)1.0067 minutesthis entry (11–2)
@barcelonaen11 (6/8 hand-verifiable sample passed)1.0072 secondsthis entry (6–5)
@manchesterunited8 (6/8 hand-verifiable sample passed)1.006.2 hoursthis entry (5–3)
@real_madrid_en7 (7/7 hand-verifiable sample passed)0.983.0 hours@real_madrid_en (5–2)
@cfmadridreal5 (5/5 hand-verifiable sample passed)1.005.6 hours@cfmadridreal (4–1)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 19 of the 19 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 485 comparable posts for this entry, running 4 August 2026 to 12 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Of the group of 2 channels, the one whose matching posts we hold earliest is @real_madrid — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 13 November 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.

Channels linked by matching posts

This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

110,903113,719112,3115 August 202611 November 2026
66 measurements spanning 97 days, net -2,730. 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 110,481–114,141 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 66
Measured (UTC)SubscribersChange
11 Nov 2026, 08:16110,903-15
9 Nov 2026, 13:49110,918-53
8 Nov 2026, 09:09110,971-33
7 Nov 2026, 01:55111,004-42
6 Nov 2026, 00:49111,046-36
5 Nov 2026, 01:49111,082+32
3 Nov 2026, 23:59111,050-36
2 Nov 2026, 21:17111,086-44
1 Nov 2026, 19:28111,130-75
31 Oct 2026, 15:54111,205-41
30 Oct 2026, 14:40111,246-75
29 Oct 2026, 15:06111,321-43
28 Oct 2026, 17:39111,364-35
27 Oct 2026, 18:07111,399-80
26 Oct 2026, 16:19111,479+134
25 Oct 2026, 14:30111,345-19
24 Oct 2026, 17:36111,364-87
23 Oct 2026, 17:38111,451-40
22 Oct 2026, 17:08111,491-8
21 Oct 2026, 09:59111,499first reading

Engagement

1,127 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 205 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.32%
avg views ÷ 110,903 subscribers
Avg views / post
7,000
352 posts measured
Reaction rate
2.60%
reactions ÷ views · ER floor
Posts in window
352
of 1,127 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 12 November 2026
Posts held1,127 (4 August 2026 – 12 November 2026)
Views total2,465,660
Reactions total64,002
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 09:21 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
≈37,900
Videos
≈211
Links
≈2,020

Lifetime counters from Telegram’s own channel header, read 13 November 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
2m 59s
Average length
22s

Measured directly from 8 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

189,678 reactions across 998 posts, in 20 distinct kinds. The most used accounts for 53.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤100,75253.1%
👍54,40928.7%
🔥18,4749.74%
😁3,0411.60%
😢2,4681.30%
👎1,9321.02%
💔1,7130.903%
🌚1,2330.65%
🤡1,1540.608%
⚡1,1480.605%
👏9460.499%
💯6300.332%
🤯4190.221%
🎉3200.169%
🥰3060.161%
🍾2120.112%
🙏2120.112%
😱1260.066%
🤔1050.055%
👌780.041%

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 999 of the 1,000 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 189,678 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 16 August 2026 to 12 November 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.

Advertising

Ad load
0.1%
1 of 1,000 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
7,740
over 1 measured post
Median views · rest
7,440
over 999 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 16 August 2026 to 12 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

Telegram’s own ‘edited’ marker: 12 of 352 posts held from the last 30 days (3.41%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

12 Nov 2026, 19:01 UTC≈5,120 views317 reactionsread 13 November 2026
Photo

🚨 Arda Güler, 2026/27 so far: - 5 goals - 6 assists

👍174❤102🔥40👎1

12 Nov 2026, 16:57 UTC≈5,840 views19 reactionsread 13 November 2026
Photo

🦁The Three Lions hit their stride! After a shaky start, England handed Croatia a historic 7-0 rout and now returns to Wembley, where they’ll host the Czech Republic, which has lost all three matches and remains without any points so far. Tune in to the match and place your bets on 1xBet! REGISTER WITH OUR LINK▶️ https://shorturl.at/atwUW GET 300% BONUS BY USING PROMO CODE ▶️ SKYSOURCE1

👍13❤6

12 Nov 2026, 14:01 UTC≈6,110 views226 reactionsread 13 November 2026
Photo

🚨 FACT: Real Madrid have 314 wins the UEFA Champions League, the MOST in the competition’s history. It is also a whopping 58 more than 2nd placed @Bayern_Munich, who have 256 wins in the competition. Dominance. 🔥

👍134❤72🔥20

12 Nov 2026, 12:35 UTC≈6,640 views209 reactionsread 13 November 2026
Photo

🚨 JUST IN: At this point last season, Real Madrid had already suffered 39 (!) muscle injuries. This season, apart from the players who started the season injured, ONLY Fede Valverde has suffered a muscle injury. [diarioas]

👍148❤61

12 Nov 2026, 11:29 UTC≈6,650 views131 reactionsread 13 November 2026
Photo

Real Madrid players in action today: 🇹🇷 Arda Güler vs Belgium 🇧🇪 - 18:00 CET 🇨🇮 Yan Diomande vs Gambia 🇬🇲 - 20:00 CET 🏴󠁧󠁢󠁥󠁮󠁧󠁿 Bellingham, Trent vs Croatia 🇭🇷 - 20:45 CET 🇪🇸 Cucurella, Huijsen, Espí vs Czech Republic 🇨🇿 - 20:45 CET 🇫🇷 Camavinga, Konaté vs Italy 🇮🇹 - 20:45 CET

❤111👍20

11 Nov 2026, 16:20 UTC≈8,220 views295 reactionsread 13 November 2026
Photo

🏆 @Kylian_Mbappe, LaLiga's Player of the Month for October! EASPORTSFC

👍181❤90⚡23🤡1

11 Nov 2026, 15:33 UTC≈7,830 views199 reactionsread 13 November 2026
Photo

🚨 Thibaut Courtois: “When Xabi Alonso got fired it was said that the players pushed him out, is that true? NO. In football, it always happens when results are not there, the first one to pay the price is the coach. Maybe in some cases his dynamic with some players was not good, with some it was. I liked Xabi’s way of working. I think he’s a great coach.”

👍139❤60

11 Nov 2026, 15:02 UTC≈7,210 views188 reactionsread 13 November 2026
Photo

🗣️ Thibaut Courtois on José Mourinho: “It’s great to be working with Mourinho again. I was really looking forward to having him back. I actually ignored his first message for TWO WEEKS by accident. We were on a plane during the World Cup, and I had no internet. Later, I had to ask someone at Real Madrid: ‘Is this really the coach’s number?’ Mourinho seems calmer now, probably because of his experience, but he sti…

❤166👍22

11 Nov 2026, 13:32 UTC≈6,950 views208 reactionsread 13 November 2026
Photo

🚨 STAT: Real Madrid recorded 19 INTERCEPTIONS against Racing, their HIGHEST total in a LaLiga match this season. [ diarioas]

👍151❤57

11 Nov 2026, 12:50 UTC≈7,180 views219 reactionsread 13 November 2026
Photo

Today’s training. 🏃

👍145❤54🔥20

11 Nov 2026, 12:25 UTC≈7,480 views260 reactionsread 13 November 2026
Photo

🚨 NEW: Mourinho has TRANSFORMED Real Madrid’s defensive system. The team now defends through POSSESSION, with Bernardo Silva and Arda Güler playing a KEY role. [ diarioas]

👍166❤77⚡17

11 Nov 2026, 11:22 UTC≈6,340 views263 reactionsread 12 November 2026
Photo

🚨 STAT: Real Madrid reached 70% POSSESSION against Valencia, their HIGHEST this season. They allowed just TWO shots on target. [diarioas]

❤222👍26⚡11🥰3👏1

Showing the 12 most recent of 1,127 posts we hold for @real_madrid. 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.

Posts recorded as deleted after publishing

We recorded 5 posts on @real_madrid as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
9 October 2026
Most recent seen missing
11 November 2026
Median time before seen missing
18 hours
Seen missing in the last 30 days
4

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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 45 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

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.

REAL MADRID C.F.
@Realmadrid_world · 113,626
#1
Just Football
@jfball · 89,073
#2
B/R Football
@br_football_news · 78,803
#3
433
@Football433_uk · 69,250
#4
ESPN FC
@Espnfc_news · 60,928
#5
Goal Sport™
@goal_sport_football · 39,137
#6
Football memes
@soccer_memes · 33,928
#7
SOFA SCORE ⚽️
@sofascore_uk · 55,244
#8
Real Madrid Central
@realmadridfran · 24,045
#9
ESPN FC
@espnfc1 · 51,675
#10
Atletico Madrid
@madrid_atletico · 16,133
#11
Real Madrid ™️
@cfmadridreal · 15,521
#12
Real Madrid CF ™
@RealMadridCF_1 · 19,755
#13
REAL MADRID C.F.
@RealMadridCFen · 23,338
#14
BBC Sport Football
@BBC_Sports_Football_Updates · 52,231
#15
LIVE SCORE MATCH T20
@live_score_Cricket · 34,873
#16
Real Madrid C.F.™
@real_madrid_en · 24,789
#17
Ash Gem Calls
@ashgemcall · 7,222
#18
Kylian Mbappé | News & Highlights
@kmbappe · 2,778
#19
REAL MADRID [ES]
@Hala_MadridCF15 · 18,600
#20
𝗩𝗔𝗟𝗨𝗘 𝗕𝗲𝘁𝘀 💸
@GapTheBet · 9,582
#21
Cristiano Ronaldo
@cristiano · 59,462
#22
Troll Football
@Troll_Football_Telegram · 143,824
#23
Sky Sports
@Sky_sports_football_updates · 26
#24
Arsenal
@arsenal_london · 142,739
#25
Manchester City FC
@manchester_city · 128,133
#26
Official Fabrizio Romano
@FabrizioRomanoTG · 395,682
#27
Premier League News
@Premier_League_News_TG · 255,540
#28
Transfer News Football
@transfer_news_football · 86,351
#29
Premier League
@premier_league_football_news · 86,757
#30
Here We Go Club
@herewegoclub · 81,828
#31
English Premier League Update
@Premier_League_Update · 120,411
#32
CHELSEA NEWS 🗞 🔵
@Chelsea_fc_worldwide · 93,226
#33
Manchester United Central🔱🔴
@Manchester_UtdCentral · 120,026
#34
Fabrizio Romano
@FabrizioRomano_uk · 71,388
#35
VETLAND SPORTS
@vetland_sports_football1 · 107,045
#36
Chelsea FC 🔵
@CFC_ChelseaFC · 135,045
#37
UEFA CHAMPIONS LEAGUE
@uefa_champion_leaguee · 146,459
#38
Bayern Munchen
@bayern_munich · 31,993
#39
Football
@footballfactlys · 31,651
#40
Ihzan's Gem Calls
@ihzansgemcalls · 13,306
#41
FC BARCELONA™
@FCBarcelonaenn · 99,144
#42
Chelsea
@Chealsea · 32,334
#43
Supersport CBS
@supersportcbs · 29,663
#44
GOAT Fanbase 🐐
@Al_Nassr_Ronaldo · 5,441
#45
ESPN FOOTBALL
@Espn_Football_News_UK · 108,131
#46
Sky Sports Football
@Sky_Sportz_football · 63,883
#47
Footy Humour
@footyhumourr · 7,872
#48
Squawka Football
@squawka_football_news · 8,500
#49
LIVERPOOL FC
@liverpool_worldwide · 61,197
#50
Juventus
@juventus · 26,423
#51
FOOTY TOUCH | EuroFootball
@football_touchline · 34,162
#52
Lionel Messi
@Messi_lionel_uk · 51,183
#53
SL Benfica
@benfica · 6,847
#54
Football For All
@Footy4All · 7,985
#55
Tony's Sports
@TonySportsHub · 13,440
#56
Sky Sports News
@skysport_football_official · 51,237
#57
WhoScored | Squawka
@whoscored_squawka · 4,851
#58
Borussia Dortmund
@borussia_dortmund · 10,661
#59
Premier League 🦁
@PremierLeague_football · 25,049
#60
Manchester City
@mancity247 · 44,874
#61
LIVE SCORE HD
@LiveScoreXq · 46,256
#62
PSG | Paris Saint-Germain
@paris_saint_geermain · 29,774
#63
🇬🇧 Manchester United 🇬🇧
@manchester · 114,195
#64
BOOMBET
@boombet301 · 61,815
#65
Premier League
@english_premier_league_links · 38,264
#66
Fantasy Premier League
@Fantasy_Epl · 30,759
#67
Eurotinos ⚽️🏆
@Eurotinos12 · 24,702
#68
Neymar Jr
@NeymarJrSantosFc · 9,325
#69
Al Nassr FC
@official_alnassr · 11,651
#70
La Saeta Rubia
@LSR_RM · 33,043
#71
CHELSEA ANALYSIS 📈🔵
@ChelseaAnalysis · 46,002
#72
UEFA Champions League
@uefa_champ_league · 54,484
#73
Football XI News Live
@footballxilive · 32,065
#74
Inter Miami
@inter_miami · 21,099
#75
El Chiringuito TV
@chiringuitotelegram · 44,816
#76
🔴Manchester United🔴
@manchester_united_uk · 50,838
#77
Messi Goals & Stat | Inter Miami
@messimedia · 8,409
#78
FC BARCELONA™️
@Barcelona_worldwide · 32,303
#79
Euni Gem Calls
@eunigemscalls · 4,592
#80
Transfer News Live
@TransferNews_Live · 48,910
#81
🇬🇧Manchester United🇬🇧
@officialmanchester · 35,516
#82
FC BARCELONA
@barcelonaen · 115,597
#83
MANCHESTER UNITED 🔴
@manchesterunited · 92,355
#84
Al Nassr FC
@al_nassr · 20,738
#85
4-3-3 ስፖርት በኢትዮጵያ™
@bisrat_sport_433et · 563,142
#86
Football Humor
@footy_humorr · 5,387
#87
The Krypto King Gem Calls
@gemskryptoking · 3,703
#88
FC Inter Milan
@inter_milan · 11,203
#89

Read from Telegram’s recommendation API, most recently 14 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.

Real Madrid Central
@realmadridfran · 24,045
Telegram ranks this channel #1 of 84 here — alongside 83 others — read 15 September 2026
REAL MADRID C.F.
@Realmadrid_world · 113,626
Telegram ranks this channel #1 of 91 here — alongside 90 others — read 14 August 2026
Real Madrid CF ™
@RealMadridCF_1 · 19,755
Telegram ranks this channel #2 of 78 here — alongside 77 others — read 2 October 2026
REAL MADRID C.F.
@RealMadridCFen · 23,338
Telegram ranks this channel #2 of 77 here — alongside 76 others — read 18 September 2026
Real Madrid C.F.™
@real_madrid_en · 24,789
Telegram ranks this channel #3 of 74 here — alongside 73 others — read 15 September 2026
Just Football
@jfball · 89,073
Telegram ranks this channel #6 of 89 here — alongside 88 others — read 16 August 2026
PSG | Paris Saint-Germain
@paris_saint_geermain · 29,774
Telegram ranks this channel #7 of 89 here — alongside 88 others — read 7 September 2026
Goal Sport™
@goal_sport_football · 39,137
Telegram ranks this channel #10 of 85 here — alongside 84 others — read 30 August 2026
Football memes
@soccer_memes · 33,928
Telegram ranks this channel #11 of 83 here — alongside 82 others — read 3 September 2026
Bayern Munchen
@bayern_munich · 31,993
Telegram ranks this channel #16 of 90 here — alongside 89 others — read 5 September 2026
ESPN FC
@Espnfc_news · 60,928
Telegram ranks this channel #17 of 88 here — alongside 87 others — read 22 August 2026
433
@Football433_uk · 69,250
Telegram ranks this channel #18 of 93 here — alongside 92 others — read 20 August 2026
B/R Football
@br_football_news · 78,803
Telegram ranks this channel #18 of 92 here — alongside 91 others — read 18 August 2026
Juventus
@juventus · 26,423
Telegram ranks this channel #19 of 84 here — alongside 83 others — read 11 September 2026
BBC Sport Football
@BBC_Sports_Football_Updates · 52,231
Telegram ranks this channel #19 of 86 here — alongside 85 others — read 24 August 2026
Cristiano Ronaldo Fans
@Cristiano_Ronaldo_7_Fans · 21,046
Telegram ranks this channel #22 of 82 here — alongside 81 others — read 23 September 2026
Inter Miami
@inter_miami · 21,099
Telegram ranks this channel #23 of 88 here — alongside 87 others — read 23 September 2026
SOFA SCORE ⚽️
@sofascore_uk · 55,244
Telegram ranks this channel #24 of 90 here — alongside 89 others — read 23 August 2026
thisweekpooltips
@thisweekpooltips · 7
Telegram ranks this channel #25 of 80 here — alongside 79 others — read 10 September 2026
ESPN FC
@espnfc1 · 51,675
Telegram ranks this channel #27 of 91 here — alongside 90 others — read 24 August 2026
BOOMBET
@boombet301 · 61,815
Telegram ranks this channel #27 of 90 here — alongside 89 others — read 20 August 2026
LIVE SCORE MATCH T20
@live_score_Cricket · 34,873
Telegram ranks this channel #28 of 80 here — alongside 79 others — read 7 September 2026
UEFA Champions League
@uefa_champ_league · 54,484
Telegram ranks this channel #32 of 90 here — alongside 89 others — read 23 August 2026
LIVERPOOL FC
@liverpool_worldwide · 61,197
Telegram ranks this channel #35 of 88 here — alongside 87 others — read 21 August 2026

This channel appears in 98 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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“Real Madrid C.F.” (@real_madrid), 110,903 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/real_madrid.

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.