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Channel

賭俠2026•化骨龍投注紀錄

@dargon_faii

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry

24,541subscribers

+274 since we began measuring on 18 September 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001809718022
TypeChannel
Username@dargon_faii
Description化骨龍 萬人重心足球台🔔 24小時投注數據參考☑️☑️ • 友善討論 共同作戰 • • 命中率高 免費入群 • 六合彩/賽馬/足球/投注飛 認證投注平台@oneclick888 「 www.oneclick13.com 」 ⚽️純心水分享 燈咗千祈唔好屌
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded18 September 2026
Last confirmed live5 November 2026
Measurements held28
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/dargon_faii

Topic

Gambling & betting — 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 3 October 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.

Growth

24,26724,54124,40418 September 2026 — 24,267 subscribers24 September 2026 — 24,284 subscribers3 October 2026 — 24,293 subscribers8 October 2026 — 24,379 subscribers12 October 2026 — 24,391 subscribers14 October 2026 — 24,422 subscribers15 October 2026 — 24,390 subscribers16 October 2026 — 24,383 subscribers17 October 2026 — 24,390 subscribers18 October 2026 — 24,406 subscribers19 October 2026 — 24,414 subscribers20 October 2026 — 24,410 subscribers21 October 2026 — 24,396 subscribers22 October 2026 — 24,380 subscribers23 October 2026 — 24,381 subscribers24 October 2026 — 24,370 subscribers25 October 2026 — 24,399 subscribers26 October 2026 — 24,379 subscribers27 October 2026 — 24,389 subscribers28 October 2026 — 24,408 subscribers29 October 2026 — 24,435 subscribers30 October 2026 — 24,452 subscribers31 October 2026 — 24,473 subscribers1 November 2026 — 24,490 subscribers2 November 2026 — 24,505 subscribers3 November 2026 — 24,516 subscribers4 November 2026 — 24,526 subscribers5 November 2026 — 24,541 subscribers18 September 20265 November 2026
28 measurements spanning 47 days, net +274. 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 24,226–24,582 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)SubscribersChange
5 Nov 2026, 03:3624,541+15
4 Nov 2026, 04:2924,526+10
3 Nov 2026, 05:0824,516+11
2 Nov 2026, 07:3624,505+15
1 Nov 2026, 06:4624,490+17
31 Oct 2026, 06:4624,473+21
30 Oct 2026, 07:3924,452+17
29 Oct 2026, 07:0724,435+27
28 Oct 2026, 06:2724,408+19
27 Oct 2026, 06:2024,389+10
26 Oct 2026, 08:3624,379-20
25 Oct 2026, 08:0624,399+29
24 Oct 2026, 10:5624,370-11
23 Oct 2026, 11:4924,381+1
22 Oct 2026, 13:3624,380-16
21 Oct 2026, 09:1624,396-14
20 Oct 2026, 08:5924,410-4
19 Oct 2026, 09:2724,414+8
18 Oct 2026, 12:0624,406+16
17 Oct 2026, 09:3524,390first reading

Engagement

134 posts held, back to 9 September 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 61 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
9.68%
avg views ÷ 24,541 subscribers
Avg views / post
2,380
67 posts measured
Reaction rate
0.686%
reactions ÷ views · ER floor
Posts in window
67
of 134 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 62 of 67 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 4 November 2026
Posts held134 (9 September 2026 – 4 November 2026)
Views total159,210
Reactions total1,017
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 03:54 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
≈5,920
Videos
≈184
Links
≈1,200

Lifetime counters from Telegram’s own channel header, read 5 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
44s
Average length
9s

Measured directly from 5 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

2,148 reactions across 116 posts, in 10 distinct kinds. The most used accounts for 35.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤76935.8%
custom 612065648505678057151724.1%
custom 608002493909041518028113.1%
custom 61118633340871690661808.38%
custom 61115000056237295381416.56%
custom 6323145939452171700974.52%
custom 6197187979023222562934.33%
custom 6226651725256722167562.61%
custom 617250708260074568390.419%
custom 633672371834926137250.233%

Custom emoji. 9 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 121 of the 134 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 2,148 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 134 most recent posts we hold, published 9 September 2026 to 4 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
2
across the posts below
Posts paid on
2
of 132 we hold a reading for · 2%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @dargon_faii. 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 134 most recent posts we hold for this entry, published 9 September 2026 to 4 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: 2 of 67 posts held from the last 30 days (2.99%) 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).

4 Nov 2026, 12:48 UTC710 views2 reactionsread 5 November 2026
Forwarded from @sexyclub21Video

😀😀😀 最新首充優惠😀 從今日起快博新人優惠提升❤️ 新會員 ➡️充值1000 送 1388 ⬅️ 😀😀😀 www.oneclick13.com 全港最高 首充總回贈 138% 🎰

❤2

Signed 新·史伐龍(化骨龍)

3 Nov 2026, 22:35 UTC≈1,410 views6 reactionsread 5 November 2026
Sticker

Sticker, posted without a caption

❤3custom 60800249390904151802custom 61206564850567805711

3 Nov 2026, 14:02 UTC≈1,800 views22 reactionsread 5 November 2026
Video

歐聯過三關,包你唔卡關

custom 61206564850567805719custom 61118633340871690665custom 60800249390904151803❤2custom 63231459394521717002custom 61115000056237295381

3 Nov 2026, 08:29 UTC≈1,800 views30 reactionsread 5 November 2026

兄弟們有冇掛住我,手痕痕地想贏錢

❤23custom 61206564850567805716custom 60800249390904151801

Signed 新·史伐龍(化骨龍)

1 Nov 2026, 14:11 UTC≈2,290 views25 reactionsread 5 November 2026
Photo

做兄弟,講心又講金🐉 講派錢,龍哥最準時🐉

custom 611150000562372953818custom 63231459394521717004❤2custom 61118633340871690661

Signed 新·史伐龍(化骨龍)

1 Nov 2026, 04:56 UTC≈2,230 views14 reactionsread 5 November 2026
Video

一個月一度🧋🧋 最新一屆吹水王出爐 重溫吓獎金先🪎 🥇第一名 1000 🥈第二名 1000 🥉第三名 800 🏅第四 至 十名 500 全部聯絡我化骨龍俾我確實,同埋私訊我比馬會戶口我入錢,集齊之後安排一次過入錢俾你哋🫡 @dargon_fai2

custom 60800249390904151809❤4custom 61118633340871690661

Signed 新·史伐龍(化骨龍)

31 Oct 2026, 16:22 UTC≈2,050 views22 reactionsread 5 November 2026
Photo

萬聖節食完飯,買條過關嚇下鬼

custom 60800249390904151809custom 61118633340871690665custom 61206564850567805715❤1custom 61115000056237295381custom 63231459394521717001

31 Oct 2026, 12:28 UTC≈1,980 views13 reactionsread 5 November 2026

兄弟們萬聖節快樂🎃 今晚你哋想贏波定係溝女?

❤12custom 60800249390904151801

Signed 新·史伐龍(化骨龍)

30 Oct 2026, 13:52 UTC≈1,970 views0 reactionsread 5 November 2026
Forwarded from @oneclick888Photo

最新Apple產品送到你手🎁 😀😀😀😀😀😀⬇️ 😀註冊後請提供會員名 📞聯絡 95412908 領取券 ·每人上限三次抽獎機會 ·充值滿$500即可獲得一張 ·持有三張券沒有得獎 可獲得88元 [充值$500後截圖俾客服登記]🖱 [請WhatsApp聯絡登記抽獎]🖱 [訂閱 @oneclick888 官方頻道]🖱 完成登記抽獎📝 截止日會有抽獎號碼 🎁🎁 如有疑問請聯絡客服 95412908

Signed 新·史伐龍(化骨龍)

30 Oct 2026, 01:19 UTC≈2,040 views8 reactionsread 5 November 2026

仆街我要半和唔係全和啊

custom 61118633340871690663custom 63231459394521717003❤1custom 61206564850567805711

29 Oct 2026, 16:19 UTC≈2,220 views13 reactionsread 5 November 2026
Video

意甲半場和,銀紙多籮籮

custom 608002493909041518010❤1custom 61115000056237295381custom 63231459394521717001

29 Oct 2026, 09:49 UTC≈2,280 views29 reactionsread 5 November 2026

今晚開心贏波套餐🍟 有冇兄弟想同我拆返餐

❤19custom 60800249390904151807custom 63231459394521717002custom 61118633340871690661

Signed 新·史伐龍(化骨龍)

Showing the 12 most recent of 134 posts we hold for @dargon_faii. 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 edited after publishing

@dargon_faii edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
23 October 2026
Most recent edit
23 October 2026

Forward network

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

Names

Channels on the register whose handles appear in this channel's posts.

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.

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@Qprophet1 · 3,563
#72
小凤哥预测群⚽️🏀🏸
@xiaofenggegroup · 1,068
#73
潘仔 吞兄食弟體育台
@eatbrotgt · 6,059
#74
熱姐 - 看我本領🔥
@catislight · 4,202
#75
小新沒有蠟筆(TG最準)
@siusunwinwin88 · 393
#76
澳門妹🇲🇴 足球電競心水
@JessicaAndYou · 8,709
#77
Happy狂賭之淵
@happywinsagain · 7,433
#78
雙熊勁屠馬會
@double_bear · 6,855
#79
PM琪琪姐【免費】入內部群pp88
@love99888 · 1,430
#80
GoldRacing資訊站
@GoldRacing · 5,121
#81

Read from Telegram’s recommendation API, most recently 18 September 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.

發 記 馬 會 出 糧 🀄️|日日贏馬會 ⚽️
@apptips · 26,397
Telegram ranks this channel #7 of 83 here — alongside 82 others — read 18 September 2026
🐯曹達華辦案實錄2026⚽️🐴
@Tatshutips88 · 20,656
Telegram ranks this channel #8 of 82 here — alongside 81 others — read 2 October 2026
⚽️大天二猛料心水台💦
@daydayvictory · 20,591
Telegram ranks this channel #9 of 82 here — alongside 81 others — read 28 September 2026
阿木足球心水實錄✍🏻
@armu_28 · 29,965
Telegram ranks this channel #12 of 81 here — alongside 80 others — read 18 September 2026
🇧🇷巴西仔心水🇧🇷
@lampwestisme · 20,988
Telegram ranks this channel #16 of 83 here — alongside 82 others — read 28 September 2026

This channel appears in 5 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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“賭俠2026•化骨龍投注紀錄” (@dargon_faii), 24,541 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/dargon_faii.

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.