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Channel
182体育足球推单
@zuqiu77777
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
5,762subscribers
-8,230 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1003040012531 |
|---|---|
| Type | Channel |
| Username | @zuqiu77777 |
| Created | Between 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 6 November 2026 |
| Measurements held | 45 |
| Confirmed unchanged | 1 time, most recently 6 November 2026 |
| On Telegram | t.me/zuqiu77777 |
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 11 September 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Nov 2026, 11:47 | 5,762 | -97 |
| 3 Nov 2026, 05:39 | 5,859 | -64 |
| 31 Oct 2026, 10:40 | 5,923 | -76 |
| 28 Oct 2026, 00:20 | 5,999 | -27 |
| 25 Oct 2026, 07:05 | 6,026 | -552 |
| 22 Oct 2026, 10:51 | 6,578 | -20 |
| 19 Oct 2026, 13:35 | 6,598 | -21 |
| 16 Oct 2026, 06:28 | 6,619 | -33 |
| 13 Oct 2026, 03:17 | 6,652 | -6,181 |
| 8 Oct 2026, 21:56 | 12,833 | -37 |
| 4 Oct 2026, 09:40 | 12,870 | -50 |
| 25 Sept 2026, 22:37 | 12,920 | -165 |
| 17 Sept 2026, 09:37 | 13,085 | -29 |
| 15 Sept 2026, 12:17 | 13,114 | -30 |
| 13 Sept 2026, 19:37 | 13,144 | -38 |
| 12 Sept 2026, 03:00 | 13,182 | -51 |
| 9 Sept 2026, 18:18 | 13,233 | -72 |
| 6 Sept 2026, 08:40 | 13,305 | -56 |
| 4 Sept 2026, 01:57 | 13,361 | -20 |
| 2 Sept 2026, 15:48 | 13,381 | first reading |
Engagement
43 posts held, back to 27 July 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 51 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 18.9%
- avg views ÷ 5,762 subscribers
- Avg views / post
- 1,090
- 2 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 4
- of 43 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.
| Window | Rolling 30 days · latest post in window 22 October 2026 |
|---|---|
| Posts held | 43 (27 July 2026 – 22 October 2026) |
| Views total | 2,180 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 4 Nov 2026, 16:00 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
- Video runtime
- 17m 39s
- Average length
- 32s
Measured directly from 33 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
3 reactions across 3 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 100.0% |
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 3 of the 43 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 3 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 43 most recent posts we hold, published 27 July 2026 to 22 October 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
Telegram’s own ‘edited’ marker: 0 of 4 posts held from the last 30 days (0%) 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).
182体育足球推单 pinned a photo
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Channel name was changed to «182体育足球推单»
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Showing the 12 most recent of 43 posts we hold for @zuqiu77777. 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.
Mentions
Named by 71 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.
Named by
Channels on the register whose posts name this channel's handle.
@dcfff888 · 79,33288 posts182体育官方福利爆奖频道
@svip1826666 · 5,38983 posts海外头条新闻🐲
@dcddd888 · 96,86982 posts182体育暴富赢家频道
@svip182888 · 5,25081 posts182体育千万赢家
@svip182777 · 5,57278 posts赌王之王-PG电子/麻将胡了/捕鱼/百家乐/棋牌
@svip182333 · 5,38977 posts182体育玩家福利活动中心
@svip182555 · 5,21575 posts【182官方频道】赌王之王
@svip182999 · 5,32574 posts今日曝光
@TGBG01 · 51,92973 posts东南亚大事件|吃瓜|悬赏『金边日记』
@zs999 · 47,85166 posts东南亚DJ太空人音乐馆
@bmzzzz · 8,28661 posts抖音吃瓜母狗曝光SM
@vp987 · 52,18261 posts东南亚黑平台/曝光
@BC216 · 42,00957 posts菲律宾大事件灰产新闻/曝光
@tg89aa · 116,47357 posts东南亚大事件|华人吃瓜曝光
@hq858 · 40,64947 posts今日头条-东南亚🐲
@dcccc777 · 68,72045 posts人间清醒【文案馆】
@wenanhs1 · 28,49143 posts柬埔寨安危事件🐲
@dcccc888 · 89,25240 posts体育之家|足球篮球|比赛竞技🐲
@dceee333 · 29,93337 posts东南亚纸飞机吃瓜新闻
@ZFJCG · 250,31037 posts求职招聘频道
@DBZPH · 48,45936 posts东南亚内涵吃瓜热点新闻🐲
@dcddd777 · 57,82436 posts东南亚大小事件🐲
@dceee888 · 66,90035 posts缅北悬赏通缉令(曝光)
@xinwen811 · 203,61535 posts
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.
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 6 November 2026 — this entry's latest reading, not the date you are reading this.
“182体育足球推单” (@zuqiu77777), 5,762 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/zuqiu77777.
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.