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Channel

飛鷹101足壇💡

@ProFessionPusH

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

684subscribers

-143 since we began measuring on 14 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002994340959
TypeChannel
Username@ProFessionPusH
CreatedBetween 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded14 August 2026
Last confirmed live8 November 2026
Measurements held12
Confirmed unchanged1 time, most recently 8 November 2026
On Telegramt.me/ProFessionPusH

Topic

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 20 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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

684827755.514 August 2026 — 827 subscribers14 August 2026 — 827 subscribers23 August 2026 — 806 subscribers30 August 2026 — 796 subscribers6 September 2026 — 744 subscribers15 September 2026 — 735 subscribers30 September 2026 — 716 subscribers10 October 2026 — 702 subscribers17 October 2026 — 693 subscribers24 October 2026 — 687 subscribers31 October 2026 — 686 subscribers8 November 2026 — 684 subscribers14 August 20268 November 2026
12 measurements spanning 86 days, net -143. 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 663–848 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Nov 2026, 10:06684-2
31 Oct 2026, 03:49686-1
24 Oct 2026, 08:30687-6
17 Oct 2026, 02:37693-9
10 Oct 2026, 15:41702-14
30 Sept 2026, 21:02716-19
15 Sept 2026, 15:38735-9
6 Sept 2026, 23:59744-52
30 Aug 2026, 08:25796-10
23 Aug 2026, 04:28806-21
14 Aug 2026, 20:46827no change
14 Aug 2026, 06:04827first reading

Engagement

20 posts held, back to 8 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 1 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 13 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

28 reactions across 13 posts, in 5 distinct kinds. The most used accounts for 39.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1139.3%
💔828.6%
👍621.4%
🎉27.14%
👏13.57%

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 14 of the 20 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 28 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 8 August 2026 to 13 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

13 Aug 2026, 21:13 UTC175 viewsread 14 August 2026
Photo

南美盃 06:00 華斯高 - 奧林比亞會 華斯高-0.5/1 解放者杯 08:30 羅沙里奧中央 - 哥連泰斯 全場9角大

13 Aug 2026, 13:20 UTC246 views0 reactionsread 14 August 2026
Photo

歐協聯 01:00 哈馬比 - 琴斯托霍瓦 哈馬比-0.5/1 歐霸盃 02:45 赫斯 - 賓菲加 全場9.5角細

13 Aug 2026, 02:27 UTC287 viewsread 14 August 2026
Photo

解放者杯 08:30 高士路 - 法林明高 法林明高 0💦💦💦走水 解放者杯 08:30 高士路 - 法林明高 全場8.5角細✅✅✅

13 Aug 2026, 02:11 UTC278 viewsread 14 August 2026
Photo

中北美杯 10:30 洛杉磯FC - 克雷塔羅 洛杉磯FC-1.5

12 Aug 2026, 22:44 UTC283 views1 reactionsread 14 August 2026
Photo

解放者杯 08:30 高士路 - 法林明高 法林明高 0 解放者杯 08:30 高士路 - 法林明高 全場8.5角細

❤1

12 Aug 2026, 22:43 UTC280 views2 reactionsread 14 August 2026
Photo

歐超杯 03:00 巴黎聖日門(中) - 阿士東維拉 巴黎聖日門-0.5/1✅✅✅

❤2

12 Aug 2026, 12:58 UTC306 views1 reactionsread 14 August 2026
Photo

歐超杯 03:00 巴黎聖日門(中) - 阿士東維拉 巴黎聖日門-0.5/1

❤1

11 Aug 2026, 02:42 UTC213 views2 reactionsread 14 August 2026
Forwarded from @GodofWealthFooTbAllPhoto

歐冠盃 00:00 波杜基林特 - 聖吉羅斯 波杜基林特-0.5/1 歐冠盃 02:00 貝爾格萊德紅星 - 比爾舒華夏普爾 貝爾格萊德紅星-1.5/2 歐冠盃 03:00 里昂 - 布拉格斯巴達 全場10角大 財神3串1心水🔥

❤1👏1

11 Aug 2026, 02:40 UTC345 views1 reactionsread 14 August 2026
Photo

歐冠盃 23:00 卡拉特 - 索菲亞利夫斯基 全場2/2.5細 歐冠盃 00:00 波杜基林特 - 聖吉羅斯 波杜基林特-0.5/1 歐冠盃 02:00 貝爾格萊德紅星 - 比爾舒華夏普爾 貝爾格萊德紅星-1.5/2 歐冠盃 02:30 格拉茨 - 費倫巴治 全場9.5細 歐冠盃 03:00 里昂 - 布拉格斯巴達 全場10角大

❤1

10 Aug 2026, 13:40 UTC370 views1 reactionsread 14 August 2026
Photo

荷乙 02:00 PSV燕豪芬青年隊 - 華倫丹 華倫丹-0.5 羅甲 02:30 聖格奧爾基塞普西 - 布格勒斯特星隊 布格勒斯特星隊-0.5

💔1

9 Aug 2026, 15:31 UTC430 views9 reactionsread 14 August 2026
Photo

挪超 01:15 基斯迪辛特 - 莫迪 莫迪-0.5/1 重心🔥

💔6❤3

9 Aug 2026, 15:27 UTC418 viewsread 14 August 2026
Photo

芬超 22:00 英特杜古 0-0 拉迪 全場0.5/1大

Showing the 12 most recent of 20 posts we hold for @ProFessionPusH. 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.

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 42 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.

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 8 November 2026 — this entry's latest reading, not the date you are reading this.

“飛鷹101足壇💡” (@ProFessionPusH), 684 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/ProFessionPusH.

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.