Telegram RegisterThe public register of Telegram

Channel

超凡体育推单

@cftiyu

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

2,137subscribers

-4 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002099646163
TypeChannel
Username@cftiyu
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live10 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/cftiyu

Topic

Gambling & betting — 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 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 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.

Content that also appears on other registered channels

Posts published here appear word for word on 2 other registered channels. They sit inside a group of 5 channels that share the same post bodies with each other. 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
@cftiyu/5840 · this entry29 Jul 2026, 15:17 UTC@yhtytd/203529 Jul 2026, 15:24 UTC1.007 minutes
@cftiyu/5863 · this entry31 Jul 2026, 12:44 UTC@yhtytd/203731 Jul 2026, 12:50 UTC1.005 minutes
@yhtytd/20391 Aug 2026, 13:34 UTC@cftiyu/5880 · this entry1 Aug 2026, 13:35 UTC1.0072 seconds
@cftiyu/5884 · this entry1 Aug 2026, 15:31 UTC@yhtytd/20401 Aug 2026, 15:31 UTC1.00under a minute
@cftiyu/5899 · this entry2 Aug 2026, 14:03 UTC@yhtytd/20432 Aug 2026, 14:03 UTC1.00under a minute
@yhtytd/20444 Aug 2026, 12:31 UTC@cftiyu/5923 · this entry4 Aug 2026, 12:31 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@yhtytd11 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (83)
@ybgf97 (7/7 hand-verifiable sample passed)1.0043 minutesthis entry (61)

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. None of the 4 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 21 comparable posts for this entry, running 29 July 2026 to 7 August 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).

Across the whole group of 5, the earliest publisher we hold is @cftiyu — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 8 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 4 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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

2,1372,1412,1396 August 2026 — 2,141 subscribers7 August 2026 — 2,141 subscribers10 August 2026 — 2,137 subscribers6 August 202610 August 2026
3 measurements spanning 4 days, net -4. 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 2,136–2,142 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 16:562,137-4
7 Aug 2026, 20:012,141no change
6 Aug 2026, 23:012,141first reading

Engagement

23 posts held, back to 29 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
3.15%
avg views ÷ 2,137 subscribers
Avg views / post
67.2
23 posts measured
Reaction rate
0.909%
reactions ÷ views · ER floor
Posts in window
23
of 23 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 2 of 23 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held23 (29 July 20267 August 2026)
Views total1,546
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 18:05 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.

Reaction mix

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1100.0%

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 2 of the 23 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 23 most recent posts we hold, published 29 July 2026 to 7 August 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

7 Aug 2026, 15:50 UTC13 viewsread 7 August 2026

---同路上车 跟反自由--- ---赛事无神 红黑勿怪--- 芬超 00:00 队伍:施拿钟基-格尼斯坦 推荐:格尼斯坦(+0.5) 挪超 01:00 队伍:桑德菲杰-KFUM奥斯陆 推荐:全场大(2.5/3) 丹麦 01:00 队伍:桑德捷斯基-域堡 推荐:桑德捷斯基 (+0.5/1) 友谊赛 01:00 队伍:富勒姆(中)-水晶宫 推荐:全场大 (2.5/3) 荷甲 02:00 队伍:坎布尔-SBV精英队 推荐:SBV精英队(0) 德乙 02:00 队伍:波鸿-柏林赫塔 推荐:全场大 (2.5/3) 三串一:桑德菲杰+桑德捷斯基+SBV精英队

7 Aug 2026, 13:43 UTC20 viewsread 7 August 2026

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7 Aug 2026, 10:44 UTC29 viewsread 7 August 2026

---同路上车 跟反自由--- ---赛事无神 红黑勿怪--- 中超 19:35 队伍:北京国安-深圳新鹏城 推荐:深圳新鹏城(+1/1.5) 韩K2 19:00 队伍:金浦-忠北清州 推荐:全场小(2/2.5) 韩K2 19:00 队伍:忠南牙山-安山小绿人 推荐:总进球 (2/3球) 韩K2 19:00 队伍:华城-首尔衣恋 推荐:全场大 (2.5/3) 韩K2 19:00 队伍:水原三星-金海市 推荐:水原三星 (-1.5) 韩K2 19:00 队伍:庆南-大邱 推荐:庆南 (+0.5) 三串一:深圳新鹏城+华城+庆南

7 Aug 2026, 06:20 UTC33 viewsread 7 August 2026

---同路上车 跟反自由--- ---赛事无神 红黑勿怪--- 日本J1联赛 【18:25】 队伍:横滨水手 VS 鹿岛鹿角 推荐:进球区间2-3 ❤️ 推荐:全场大2.25 推荐:全场角球大9.5 比分:1-2 2-2 2-1 日本J1联赛 【18:30】 队伍:大阪钢巴 VS 浦和红钻 推荐:进球区间2-3 推荐:全场角球大9.5 ❤️ 比分:2-0 1-2 2-1

6 Aug 2026, 15:45 UTC48 views0 reactionsread 7 August 2026

---同路上车 跟反自由--- ---赛事无神 红黑勿怪--- 欧罗巴 01:00 队伍:萨尔茨堡红牛-帕福斯 推荐:全场小(3) 欧协联 01:00 队伍:德布勒森-哥本哈根 推荐:哥本哈根进球大(1.5/2) 欧协联 02:00 队伍:阿贾克斯-舒尔本 ♥️ 推荐:阿贾克斯(-3) 欧协联 02:00 队伍:特温特-斯特里达 推荐:特温特(-2 ) 欧协联 02:45 队伍:布咸美恩斯-米迪兰特 推荐:米迪兰特(-1/1.5) 欧罗巴 03:00 队伍:本菲卡-赫斯 推荐:全场大(3.5/4) 三串一:阿贾克斯+特温特+本菲卡

6 Aug 2026, 08:24 UTC48 viewsread 7 August 2026

---同路上车 跟反自由--- ---赛事无神 红黑勿怪--- WNBA 【07:00】 队伍:狂热 vs 王牌 推荐:全场小196.5 WNBA 【09:00】 队伍:山猫 vs 火花 推荐:火花+15.5 WNBA 【10:00】 队伍:火焰 vs 节奏 ❤️ 推荐:全场大186.5

5 Aug 2026, 15:54 UTC62 views1 reactionsread 7 August 2026

---同路上车 跟反自由--- ---赛事无神 红黑勿怪--- 欧冠 00:30 队伍:奥胡斯-沙巴巴库 推荐:沙巴巴库(+0.5/1) 欧协联 01:00 队伍:白兰恩-阿波罗利马素尔 ♥️ 推荐:阿波罗利马素尔(+1) 欧冠 02:00 队伍:费内巴切-格拉茨风暴 推荐:格拉茨风暴(+1.5) 欧罗巴 02:15 队伍:费伦茨瓦罗斯-扎布热矿工 推荐:双进(是 ) 欧协联 02:30 队伍:帕纳辛奈科斯-索菲亚1948中央陆军 推荐:索菲亚1948中央陆军(+1.5/2) 友谊赛 02:30 队伍:阿森纳-皇家贝迪斯 推荐:全场大(3) 三串一:阿波罗利马素尔+阿森纳+格拉茨风暴

1

5 Aug 2026, 13:17 UTC59 viewsread 7 August 2026

波兰杯23:30 瓦塔波VS雷索维亚 推荐:全场小3球 欧冠杯00:30 奥胡斯VS萨巴赫 推荐:客队+0.75 波兰杯01:45 斯凯尔VS索克尔克 推荐:主队-1 欧冠杯02:00 费内巴切VS格拉茨 推荐:全场小3球 冰岛超03:15 哈夫纳夫VS雷克雅未克 推荐:全场大4球 阿甲06:00 小保加VS学生队 推荐:全场小2球 中北美杯07:30 迈阿密国际VS圣路易斯竞技 推荐:主队-1.5 巴西杯08:30 弗鲁米嫩塞VS瓦斯科达伽马 推荐:全场小2.25球

4 Aug 2026, 14:57 UTC69 viewsread 7 August 2026

---同路上车 跟反自由--- ---赛事无神 红黑勿怪--- 欧冠 00:00 队伍:阿拉特亚美尼亚-采列 推荐:全场大(2.5) 欧冠 00:00 队伍:米亚尔比-布拉迪斯拉发 推荐:总进球(2/3球) 欧冠 01:30 队伍:索菲亚利夫斯基-凯拉特艾马迪 推荐:全场小 (2/2.5) 欧冠 02:00 队伍:奥林匹亚科斯-奈梅亨 ♥️ 推荐:奈梅亨(+1) 欧冠 02:00 队伍:圣吉罗斯-波杜基林特 推荐:全场角球大(9.5) 欧冠 02:00 队伍:布拉格斯巴达-里昂 推荐:全场大(2.5/3) 三串一:里昂+奈梅亨+索菲亚利夫斯基

4 Aug 2026, 12:31 UTC70 viewsread 7 August 2026

东南锦21:00 菲律宾VS泰国 推荐:全场大3球 欧冠杯00:00 米亚尔比VS布拉迪斯拉发 推荐:全场小2.5球 欧冠杯02:00 萨格勒布VS考诺萨 荐:全场大3球 欧冠杯02:00 圣吉罗斯VS博德闪耀 推荐:全场大3球 玻利甲03:00 学术VS奥鲁罗 推荐:全场大3.5球 欧罗巴杯03:00 拉恩VS提比利锡1999 推荐:全场小2.25球 玻利甲06:00 佩特莱罗独立VS欧若拉 推荐:全场大3球 中北美杯08:00 夏洛特VS普马斯 推荐:全场大2.25球

3 Aug 2026, 15:03 UTC74 viewsread 7 August 2026

---同路上车 跟反自由--- ---赛事无神 红黑勿怪--- 乌克超 23:00 队伍:顿涅茨克矿工-库德里夫卡 推荐:全场大(3/3.5) 芬超 00:00 队伍:施拿钟基-赫尔辛基 推荐:施拿钟基角球(0) 瑞典超 01:00 队伍:佐加顿斯-韦斯特罗斯 ♥️ 推荐:韦斯特罗斯 (+1/1.5) 瑞典超 01:00 队伍:哈尔姆斯塔德-天狼星 推荐:全场小(3/3.5) 丹麦超 01:00 队伍:奥丹斯-桑德捷斯基 推荐:全场大(3) 波兰超 01:00 队伍:克拉科维亚-沙斯辛 推荐:双进(是) 三串一:顿涅茨克矿工+韦斯特罗斯+奥丹斯

2 Aug 2026, 14:03 UTC83 viewsread 7 August 2026

2026-08-02 22:30 瑞士超级联赛 草蜢 v 卢加诺 足球 让球 卢加诺 -0.5 --------------------------- 2026-08-02 22:30 瑞士超级联赛 锡永 v 卢塞恩 足球 让球 卢塞恩 +0.5 / 1 --------------------------- 2026-08-03 00:00 丹麦超级联赛 锡尔克堡 v 哥本哈根 足球 让球 哥本哈根 -1 --------------------------- 2026-08-03 00:00 荷兰超级杯 PSV埃因霍温 v 阿尔克马尔 足球 角球数 - 大 / 小 大 9.5 --------------------------- 2026-08-03 01:15 挪威超级联赛 白兰恩 v 洛辛堡 足球 让球 洛辛堡 +0.5 ---------------------------

Showing the 12 most recent of 23 posts we hold for @cftiyu. 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 — 81,494 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 5 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.

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

“超凡体育推单” (@cftiyu), 2,137 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/cftiyu.

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.