6 Aug 2026, 17:16 UTC41 viewsread 7 August 2026
Posted without readable text
Channel
Football meets data
@fmeetsdata
On this record: Topic · Growth · Engagement · Posts · Citations · Cite this entry
385subscribers
-6 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001189679412 |
|---|---|
| Type | Channel |
| Username | @fmeetsdata |
| Created | Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 11 September 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 11 September 2026 |
| On Telegram | t.me/fmeetsdata |
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 22 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 why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Sept 2026, 13:59 | 385 | -2 |
| 3 Sept 2026, 14:38 | 387 | -1 |
| 28 Aug 2026, 03:13 | 388 | +2 |
| 14 Aug 2026, 05:35 | 386 | -4 |
| 7 Aug 2026, 17:45 | 390 | -1 |
| 7 Aug 2026, 01:18 | 391 | first reading |
Engagement
20 posts held, back to 4 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 6 August 2026. An engagement rate over an empty window would be a number about nothing.
Recent posts
6 Aug 2026, 17:16 UTC23 viewsread 7 August 2026
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Football Meets Data (Twitter/X) ⚠️ Risk-adjusted most consequential potential eliminations for country coefficient: (*negative impact adjusted by high likely it is to happen) 🇩🇰 Midtjylland 🇨🇭 St Gallen 🇩🇰 Nordsjaelland 🇭🇷 Rijeka 🇨🇭 Lugano 🇩🇰 FCK 🇭🇺 ETO Györ 🇭🇷 Hajduk Split ... 👉 Detailed country coefficient analysis available in our 🕹️ Simulator
6 Aug 2026, 17:16 UTC23 viewsread 7 August 2026
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Football Meets Data (Twitter/X) ⚠️ Biggest potential negative impact on country coefficient in case of elimination before league stage (not adjusted for risk of actually happening): 🇵🇹 Benfica 🇨🇾 Omonia 🇨🇾 Pafos 🇵🇱 Lech Poznan 🇭🇺 Ferencvaros 🇵🇹 Braga ...
6 Aug 2026, 17:16 UTC21 viewsread 7 August 2026
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Football Meets Data (Twitter/X) 💥 New highest attendance this season in 🔵 UCL! 🏟️ Seasonal Top 15 Attendances | 🔵 UCL Qualifiers (7 Jul-5 Aug) 39,800 🇹🇷 Fenerbahçe v 🇦🇹 Sturm Graz 🆕 38,604 🇹🇷 Fenerbahçe v 🇵🇱 Górnik Zabrze 36,215 🇵🇱 Lech Poznań v 🇩🇰 AGF 31,134 🇬🇷 Olympiacos v 🇳🇱 NEC 🆕 28,499 🇵🇱 Górnik Zabrze v 🇹🇷 Fenerbahçe 27,037 🇷🇴 Univ Craiova v 🇧🇬 Levski Sofia 26,114 🇷🇸 Crvena zvezda v Larne 19,135 🇰🇿 Kairat v …
6 Aug 2026, 17:16 UTC19 viewsread 7 August 2026
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Football Meets Data (Twitter/X) 🏟️ Attendances | 🔵 UCL Q3 Leg 1 (4-5 Aug) 39,800 🇹🇷 Fenerbahçe v 🇦🇹 Sturm Graz 31,134 🇬🇷 Olympiacos v 🇳🇱 NEC 17,515 🇨🇿 Sparta Prague v 🇫🇷 Lyon 16,916 🇧🇬 Levski Sofia v 🇰🇿 Kairat 12,147 🇭🇷 Dinamo Zagreb v 🇱🇹 Kauno Ž. 8,970 🇩🇰 AGF v 🇦🇿 Sabah 8,110 🇦🇲 Ararat-Armenia v 🇸🇮 Celje 4,827 🇧🇪 Union SG v 🇳🇴 Bodø/Glimt 3,327 🇸🇪 Mjällby AIF v 🇸🇰 Slovan B. 882 🇮🇱 Hapoel BS v 🇷🇸 Crvena zvezda
6 Aug 2026, 17:16 UTC18 viewsread 7 August 2026
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Football Meets Data (Twitter/X) What are the most likely 🟢 UECL PO matchups, as of 5 Aug? 🏴 Hearts v Rapid Wien 🇦🇹 🇩🇰 Midtjylland v Rijeka 🇭🇷 🇵🇱 Gornik Zabrze v Monaco 🇫🇷 ...are on the top of the list! 👉 Full breakdown of probabilities and scenarios for all teams in UEFA qualifiers available in our 🕹️ Simulator
6 Aug 2026, 17:16 UTC18 viewsread 7 August 2026
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Football Meets Data (Twitter/X) What are the most likely 🟠 UEL PO matchups, as of 5 Aug? 🇧🇪 STVV v Omonia 🇨🇾 tops the list! 👉 Full breakdown of probabilities and scenarios for all teams in UEFA qualifiers available in our 🕹️ Simulator
6 Aug 2026, 17:16 UTC18 viewsread 7 August 2026
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Football Meets Data (Twitter/X) A lot of uncertainty on how the PO matchups will look like. Apart from: ✅🏴 Celtic v 🇦🇹 LASK ~100% 🇭🇷 Dinamo Zagreb v 🇳🇴 Viking ...only 🇧🇬 Levski v 🇬🇷 AEK has >50% chance of happening. 👉 Full breakdown of probabilities and scenarios for all teams in UEFA qualifiers available in our 🕹️ Simulator
6 Aug 2026, 17:16 UTC19 viewsread 7 August 2026
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Football Meets Data (Twitter/X) More and more nations crossing the 2.000 mark. 🇭🇺 Hungary with a 4-place jump into seasonal Top 15.
6 Aug 2026, 17:16 UTC18 viewsread 7 August 2026
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Football Meets Data (Twitter/X) It was a quiet night (before the tomorrow's storm!) in 5y country ranking. But with some results that may have a big influence on the coefficient races this season: 🇳🇴 Brann facing elimination after losing at home to 🇨🇾 Apollon! 🇵🇱 Gornik Zabrze losing to 🇭🇺 Ferencvaros and potentially facing 🇫🇷 Monaco in 🟢 UECL PO. 🇬🇷 Panathinaikos drawing at home v 🇧🇬 CSKA 1948.
6 Aug 2026, 17:16 UTC19 viewsread 7 August 2026
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Football Meets Data (Twitter/X) ✅ 10/10 first legs of 🔵 UCL Q3 have been played. 🇭🇷 Dinamo Zagreb (99.95%) and 🇹🇷 Fenerbahçe (93%) are the only two teams with >90% to qualify for PO round. ⚖️ Remaining 8 matchups ended either in a draw or with a minimal win of the home/away team. Return legs next week should be VERY exciting. Pity that they're all played on the same night (Tue, 11 Aug) due to the Super Cup on We…
6 Aug 2026, 17:16 UTC20 viewsread 7 August 2026
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Football Meets Data (Twitter/X) Sabah's 🇦🇿 4-0-0 series ends in Randers! Aarhus 🇩🇰 takes a step closer to the PO round.
Showing the 12 most recent of 20 posts we hold for @fmeetsdata. 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 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.
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 11 September 2026 — this entry's latest reading, not the date you are reading this.
“Football meets data” (@fmeetsdata), 385 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/fmeetsdata.
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.