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Channel
五大联赛欧冠比赛竞彩推荐
@chimu888888
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Cite this entry
15,282subscribers
-3,581 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001529032506 |
|---|---|
| Type | Channel |
| Username | @chimu888888 |
| Description | 每天稳定更新一张心水好单 彩金发放 广告位联系 赤木 @ernai52 交流群 t.me/chimu666666 |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 5 November 2026 |
| Measurements held | 50 |
| Confirmed unchanged | 1 time, most recently 5 November 2026 |
| On Telegram | t.me/chimu888888 |
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 10 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 |
|---|---|---|
| 5 Nov 2026, 21:01 | 15,282 | +6,051 |
| 2 Nov 2026, 21:56 | 9,231 | -130 |
| 30 Oct 2026, 16:30 | 9,361 | -300 |
| 27 Oct 2026, 17:04 | 9,661 | -156 |
| 25 Oct 2026, 02:40 | 9,817 | -181 |
| 22 Oct 2026, 09:29 | 9,998 | -129 |
| 21 Oct 2026, 04:00 | 10,127 | -86 |
| 20 Oct 2026, 03:10 | 10,213 | -81 |
| 19 Oct 2026, 02:31 | 10,294 | -88 |
| 18 Oct 2026, 02:18 | 10,382 | -58 |
| 17 Oct 2026, 02:50 | 10,440 | -130 |
| 15 Oct 2026, 23:18 | 10,570 | -66 |
| 14 Oct 2026, 22:20 | 10,636 | -265 |
| 13 Oct 2026, 16:54 | 10,901 | -428 |
| 9 Oct 2026, 19:39 | 11,329 | -210 |
| 5 Oct 2026, 10:55 | 11,539 | -294 |
| 29 Sept 2026, 07:57 | 11,833 | -2,601 |
| 17 Sept 2026, 23:57 | 14,434 | -384 |
| 15 Sept 2026, 22:18 | 14,818 | -256 |
| 14 Sept 2026, 06:15 | 15,074 | first reading |
Engagement
150 posts held, back to 30 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 68 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 5.28%
- avg views ÷ 15,282 subscribers
- Avg views / post
- 807
- 26 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 26
- of 150 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 5 November 2026 |
|---|---|
| Posts held | 150 (30 July 2026 – 5 November 2026) |
| Views total | 20,994 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Nov 2026, 04:11 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
- ≈2,930
- Videos
- ≈222
- Links
- ≈1,690
Lifetime counters from Telegram’s own channel header, read 6 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
- 4m 11s
- Average length
- 2m 06s
Measured directly from 2 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 26 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).
01:45 水晶宫 vs 霍芬海姆 霍芬海姆 + 0.5 01:45 利勒斯特罗姆 vs 比尔森胜利 比尔森胜利 - 0/0.5 01:45 布拉格斯达巴 vs 伯恩茅斯 全场进球 3大 ❤️ 01:45 安德莱赫特 vs 萨尔茨堡红牛 安德莱赫特 - 0.5 01:45 皇家社会 vs 里昂 皇家社会 - 0.5/1 01:45 AC米兰 vs 费伦茨瓦罗斯 AC米兰 - 1.5 04:00 阿尔克马尔 vs 尤文图斯 阿尔克马尔 + 0.5 ❤️ 04:00 勒沃库森 vs 马赛 全场进球 3.5 小 04:00 凯尔特人 vs 贝西克塔斯 全场进球 3 大 04:00 格拉茨风暴 vs 佩利根 …
01:45 亚特兰大 vs 海拉提 亚特兰大 - 2.5 ❤️ 01:45 奥胡斯 vs 布拉加 全场进球 2.5 大 01:45 中日德兰 vs 阿贾克斯 中日德兰 - 0 ❤️ 04:00 里加 vs 亚布洛内茨 全场进球 2.5 大 04:00 赫塔菲 vs 布莱顿 赫塔菲 + 1 ❤️
---同路上车 跟反自由--- ---赛事无神 红黑勿怪--- 亚冠 18:00 队伍:盯田泽维亚-上海申花 推荐:盯田泽维亚 (-1.5) 亚冠 18:00 队伍:志杰-金边皇冠 推荐: 金边皇冠(+0/0.5) 亚冠 18:00 队伍:狮城水手-阿德莱德联 推荐: 全场大(3/3.5) 亚冠 18:00 队伍:柴桢-淡滨尼流浪者 推荐: 柴桢(-1) 亚冠 18:00 队伍:古晋城-江源FC 推荐: 古晋城(+0.5/1) 亚冠 18:00 队伍:巴吞联-大浦 推荐:巴吞联(-2) 六串一 平推捡钱 串子回国!😡😡😡
Photo, posted without a caption
01:45 费内巴切 vs 利物浦 费内巴切 + 1.5 01:45 AEK雅典 vs 皇家马德里 全场进球 3.5/4 大 ❤️ 04:00 多特蒙德 vs 皇家贝蒂斯 皇家贝蒂斯 + 0.5/1 04:00 莱比锡红牛 vs 曼城 曼城 - 1 ❤️ 04:00 布拉格斯拉维亚 vs 阿森纳 阿森纳 - 1.5 04:00 波尔图 vs 那不勒斯 波尔图 - 0.5 04:00 维京 vs 沙巴巴库 维京 - 1.5
亚足联冠军二级联赛 墨尔本胜利 v 万隆 足球 总进球数 2-3 亚足联冠军精英联赛 浦项制铁 v 大阪飞脚 足球 大 / 小 小 2.5 / 3 亚足联冠军二级联赛 首尔 v 维特尔 足球 让球 - 上半场 首尔 -1 亚足联冠军精英联赛 武里南联 v 鹿岛鹿角 足球 让球 武里南联 +0.5 / 1
【001】欧冠⏰01:45 加拉塔萨雷 vs 斯图加特 推荐:斯图加特 +0.5 比分:1-1 1-2 【002】欧冠⏰04:00 马德里竞技 vs 拜仁慕尼黑 推荐:马德里竞技 +0/0.5 比分:1-1 2-1 【003】欧冠⏰04:00 林茨 vs 布拉迪斯拉发 推荐:林茨 -1.5 比分:3-1 4-1 5-1 【004】欧冠⏰04:00 费耶诺德 vs 国际米兰 推荐:国际米兰 -0.5 比分:0-1 0-2 1-2 【005】欧冠⏰04:00 曼联 vs 罗马 推荐:罗马 +0.5 比分:1-1 1-2 【006】欧冠⏰04:00 巴塞罗那 vs 阿斯顿维拉 ❤️ 推荐:巴塞罗那 -1.5/2 比分:2-0 3-0 3-1 【007】欧…
欧冠01:45顿涅茨克矿工VS里斯本竞技 推荐:里斯本竞技-0.5 ⚽️⚽️⚽️⚽️⚽️ 欧冠01:45加拉塔萨雷VS斯图加特 推荐:斯图加特+0/0.5 ⚽️⚽️⚽️⚽️⚽️ 欧冠04:00马德里竞技VS拜仁慕尼黑 推荐:拜仁慕尼黑+0 ⚽️⚽️⚽️⚽️⚽️ 欧冠04:00巴塞罗那VS阿斯顿维拉 推荐:阿斯顿维拉+2 ⚽️⚽️⚽️⚽️⚽️ 欧冠04:00曼联VS罗马 推荐:罗马+0/0.5 ⚽️⚽️⚽️⚽️⚽️ 欧冠04:00比利亚雷亚尔VS巴黎圣日耳曼 推荐:巴黎-0.5/1 ⚽️⚽️⚽️⚽️⚽️ 欧冠01:45博多格林特VS里尔 推荐:博多格林特-0.5 ⚽️⚽️⚽️⚽️⚽️ 欧冠04:00费耶诺德VS国际米兰 推荐:国际米兰-0.5 ⚽️…
亚足联冠军精英联赛 纽卡斯尔喷气机 v 上海海港 足球 让球 上海海港 -0.5 / 1 亚足联冠军精英联赛 柏雷素尔 v 大田韩亚市民 足球 让球 柏雷素尔 -1 亚足联冠军精英联赛 河内公安 v 京都不死鸟 足球 让球 京都不死鸟 0 亚足联冠军精英联赛 全北现代 v 柔佛达罗塔晋 足球 大 / 小 大 2.5 / 3 4*1
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NBA【08:00】 队伍:骑士VS雷霆 推荐:骑士-4.5 重❤️ NBA【08:30】 队伍:黄蜂VS活塞 推荐:活塞-4.5 NBA【08:30】 队伍:魔术VS奇才 推荐:大224.5 NBA【08:30】 队伍:步行者VS老鹰 推荐:大231.5 NBA【08:30】 队伍:76人VS公牛 推荐:公牛+11.5 二串一:骑士-4.5 ⚡️ 公牛+11.5
Showing the 12 most recent of 150 posts we hold for @chimu888888. 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
@chimu888888 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
- 26 August 2026
- Most recent edit
- 26 August 2026
Posts recorded as deleted after publishing
We recorded 15 posts on @chimu888888 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
- 8 August 2026
- Most recent seen missing
- 6 November 2026
- Median time before seen missing
- 15 hours
- Seen missing in the last 30 days
- 5
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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 5 November 2026 — this entry's latest reading, not the date you are reading this.
“五大联赛欧冠比赛竞彩推荐” (@chimu888888), 15,282 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/chimu888888.
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.