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 9 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 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 3 other registered channels. 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)
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
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. 2 of the 2 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 1,006 comparable posts for this entry, running 7 August 2026 to 10 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).
Recorded under the key clone_source, last confirmed 11 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.
Growth
65 measurements spanning 95 days, net +52,000. 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 26,794–98,538 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)
Subscribers
Change
10 Nov 2026, 21:20
90,260
+11,348
9 Nov 2026, 07:46
78,912
+8,197
7 Nov 2026, 22:36
70,715
+4,290
6 Nov 2026, 20:56
66,425
+2,755
5 Nov 2026, 22:09
63,670
+8,430
4 Nov 2026, 21:35
55,240
+1,327
3 Nov 2026, 19:37
53,913
-137
2 Nov 2026, 22:47
54,050
-197
1 Nov 2026, 23:39
54,247
-230
1 Nov 2026, 01:26
54,477
-256
31 Oct 2026, 03:01
54,733
-282
30 Oct 2026, 05:00
55,015
-238
29 Oct 2026, 04:09
55,253
-268
27 Oct 2026, 23:36
55,521
-227
27 Oct 2026, 00:58
55,748
-262
26 Oct 2026, 01:37
56,010
-218
25 Oct 2026, 04:26
56,228
-193
24 Oct 2026, 06:59
56,421
-254
23 Oct 2026, 09:38
56,675
-213
22 Oct 2026, 11:27
56,888
first reading
Engagement
3,464 posts held, back to 7 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 189 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
0.974%
avg views ÷ 90,260 subscribers
Avg views / post
879
1,100 posts measured
Reaction rate
2.35%
reactions ÷ views · ER floor
Posts in window
1,100
of 3,464 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 896 of 1,100 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 11 November 2026
Posts held
3,464 (7 August 2026 – 11 November 2026)
Views total
966,569
Reactions total
19,404
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 09:36 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
≈36,100
Videos
≈5,410
Links
≈1,110
Lifetime counters from Telegram’s own channel header, read 11 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
38m 19s
Average length
21s
Measured directly from 108 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
17,734 reactions across 803 posts, in 18 distinct kinds. The most used accounts for 46.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🤣
8,244
46.5%
❤
2,685
15.1%
❤🔥
2,115
11.9%
💔
1,670
9.42%
👍
988
5.57%
🔥
613
3.46%
🖕
354
2.00%
😐
333
1.88%
👎
302
1.70%
👏
245
1.38%
💋
84
0.474%
🤬
50
0.282%
🍓
18
0.101%
😈
14
0.079%
🍾
6
0.034%
🕊
6
0.034%
🤔
4
0.023%
😘
3
0.017%
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 810 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 17,734 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 14 October 2026 to 11 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 1,000 we hold a reading for · 0.1%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Touchlline. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 1,000 most recent posts we hold for this entry (the sample is capped at 1,000), published 14 October 2026 to 11 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Recent posts
Telegram’s own ‘edited’ marker: 125 of 1,100 posts held from the last 30 days (11.4%) 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).
🚨🚨 فابریزیو رومانو:
کریک دقایقی پیش دوباره به محل تمرین یونایتد رسید؛ درست مثل دیروز.
باشگاه هنوز هیچ بیانیه رسمیای درباره آینده اون منتشر نکرده، اما انتظار میره از امروز هر لحظه این خبر اعلام بشه.
همچنان انتظار میره کریک اخراج بشه و همهچیز به چراغ سبز جیم رتکلیف بستگی داره.
@Touchlline
💎 ۵ میلیون شرط، ۴ میلیون سود احتمالی! 🤩💵
🇫🇷⚽️ با پیشبینی برد فرانسه مقابل ایتالیا با ضریب ۱.۸۰، میتونی ۵ میلیون تومنت رو به۹ میلیون تومن برسونی! 💰🍷
🫰 با BetFido، پیشبینی آسون، پرداخت سریع و خدمات ویژه کاربران ایرانی، بدون نیاز به احراز هویت!
🚀 تو هم پیشبینیت رو ثبت کن!
🔗 https://bet-fido.com
🔗 https://bet-fido.com
🌐 ورود با ویپیان غیراروپایی
🌐کانال تلگرام:r20🅰
https://t.me/+dySI_QFj0T0xZGVk
یادی کنیم از روزی که اوزیل میخواست با یک مدل ایتالیایی وارد رابطه بشه و مورینیو برای اینکه اوزیل تمرکزش روی فوتبالش باشه رفت بهش گفت این دختره با نصف بازیکنای میلان و اینتر بوده، حتی با مربی هاشون🤣🤣🤣
@Touchlline
🔢 میلیون تومن پیشبینی، 🔢میلیون و ۵۰۰ هزار تومن برد احتمالی! 🥳💎
🇹🇷 ترکیه یا بلژیک؟ تو طرفدار کدوم تیمی؟ ⚽️🔥
با انتخاب برد بلژیک مقابل ترکیه توی لیگ ملتهای اروپا، با ضریب ۱.۹۰ و یه شرط ۵ میلیون تومنی، میتونی ۴ میلیون و ۵۰۰ هزار تومن سود خالص داشته باشی! 😎💰
❤️ البته پیشبینی درست فقط نصف ماجراست! یه پلتفرم با روشهای پرداخت راحت و برداشت سریع هم میخوای که خیالت از بابت بردت راحت باشه.
🏆 BetFido، پلتفرم بینا…
بتفیدو یک سایت بین المللی و خارجی با بهترین آفرها برای شماست🫰
https://t.me/BetFido
Showing the 12 most recent of 3,464 posts we hold for @Touchlline. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
The shares total 106%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 1,000 most recent posts we hold (the sample is capped at 1,000), published 14 October 2026 to 11 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@Touchlline named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@touchlline_goal named in 5 posts, 13 August 2026 – 7 September 2026
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.
Read from Telegram’s recommendation API, most recently 21 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.
Futball Premium @FutballPremium · 14,327 Telegram ranks this channel #3 of 76 here — alongside 75 others — read 19 September 2026
فوتبال فان @futbadfun · 155,759 Telegram ranks this channel #8 of 83 here — alongside 82 others — read 12 August 2026
ꜰᴜᴛʙᴀʟʟ ɢᴏʟᴅ ɴᴇᴡꜱ @FutballGoldnews · 30,687 Telegram ranks this channel #20 of 81 here — alongside 80 others — read 6 September 2026
گل | خبر ورزشی @VarzesheNews · 48,286 Telegram ranks this channel #22 of 74 here — alongside 73 others — read 29 August 2026
Videos Meme 🔥 @videos_meme · 22,046 Telegram ranks this channel #27 of 68 here — alongside 67 others — read 16 September 2026
شوتیفای | اخبار فوتبال @Shootify · 84,287 Telegram ranks this channel #27 of 82 here — alongside 81 others — read 18 August 2026
فوتبال در جهان موازی @ParalSport · 18,199 Telegram ranks this channel #29 of 77 here — alongside 76 others — read 27 September 2026
Field Reports | گزارش میدانی @FieldReports · 90,698 Telegram ranks this channel #36 of 81 here — alongside 80 others — read 17 August 2026
پاریسن ژرمن | Paris Saint Germain @ParisNewsOnline · 23,037 Telegram ranks this channel #42 of 87 here — alongside 86 others — read 22 September 2026
⚽ Green Soccer / گرین ساکر @Green_Soccer · 44,583 Telegram ranks this channel #43 of 90 here — alongside 89 others — read 26 August 2026
𝗙𝗨𝗧𝗕𝗔𝗟𝗟𝗜 𝟭𝟴+ @FUTBALLI18 · 479,301 Telegram ranks this channel #43 of 85 here — alongside 84 others — read 10 August 2026
اولترا مادرید | Ultra Madrid @UltraMadrid · 30,092 Telegram ranks this channel #44 of 75 here — alongside 74 others — read 13 September 2026
بایرن مونیخ | BAYERN @Bad_Bayern_Pluss · 25,984 Telegram ranks this channel #44 of 79 here — alongside 78 others — read 5 September 2026
بَنـــــگ بــــال @BANGGBALL · 19,482 Telegram ranks this channel #51 of 77 here — alongside 76 others — read 29 September 2026
کریستیانو رونالدو | Ronaldo @Ronaldo_Cristiano_R · 107,760 Telegram ranks this channel #54 of 90 here — alongside 89 others — read 14 August 2026
رئال مادرید | Real Madrid @realmadridir · 93,846 Telegram ranks this channel #57 of 90 here — alongside 89 others — read 18 August 2026
[ بیشُعوری ] @officialbish0uri · 28,986 Telegram ranks this channel #59 of 68 here — alongside 67 others — read 26 September 2026
Footmation | فوتمیشن @Footmation · 20,143 Telegram ranks this channel #61 of 74 here — alongside 73 others — read 28 September 2026
کانال زیست استاد حنیف عظیمی @azimi_zist_konkor · 111,976 Telegram ranks this channel #67 of 67 here — alongside 66 others — read 29 August 2026
آلودگی هوا و تعطیلی مدارس @tatili_news1 · 232,430 Telegram ranks this channel #67 of 89 here — alongside 88 others — read 11 August 2026
اخبار تعطیلی مدارس و دانشگاه ها @TatiliNews · 146,169 Telegram ranks this channel #78 of 90 here — alongside 89 others — read 12 August 2026
پرشین تون | PersianToon @PirseanToon · 62,575 Telegram ranks this channel #80 of 80 here — alongside 79 others — read 24 August 2026
This channel appears in 22 seed channels' Telegram-generated recommendation lists in total. 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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“Touchline” (@Touchlline), 90,260 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/Touchlline.
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.