Офіційний канал Сил безпілотних систем Збройних Сил України
https://usforces.army
https://www.instagram.com/usf_army
https://www.youtube.com/@USF_Army
https://www.tiktok.com/@usforces.army
https://x.com/usf_arm
https://www.facebook.com/share/158296RPBn
Created
9 June 2024 — measured — cross-checked against a third-party dataset (ext.tg_channel)
International news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 50% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Views per post sit far above this size band
42,800 average views per post against 34,044 subscribers — an engagement rate of 125.7%. Across the 619 registered channels in the same cohort — 31,623–99,965 subscribers, posting mainly in Ukrainian — the middle half sit between 10.3% and 26.0%, with a median of 16.6%.
What this was computed from
Window
30 days (10 August 2026 – 9 September 2026)
Posts measured
71 of 71 published in the window (0 exact, 71 rounded by Telegram)
Views totalled
3,038,830
Mature posts only
130.3% over 68 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_high, last confirmed 9 September 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
31 measurements spanning 34 days, net +136. 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 33,780–34,196 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)
Subscribers
Change
9 Sept 2026, 04:18
34,044
+48
5 Sept 2026, 19:38
33,996
-21
3 Sept 2026, 16:15
34,017
-25
2 Sept 2026, 10:13
34,042
-24
1 Sept 2026, 09:58
34,066
-18
31 Aug 2026, 07:27
34,084
-17
30 Aug 2026, 10:13
34,101
-35
29 Aug 2026, 08:16
34,136
-6
28 Aug 2026, 09:43
34,142
-6
27 Aug 2026, 10:07
34,148
+54
26 Aug 2026, 06:46
34,094
-4
25 Aug 2026, 05:15
34,098
+12
24 Aug 2026, 04:47
34,086
+21
22 Aug 2026, 12:39
34,065
+237
21 Aug 2026, 00:54
33,828
-3
20 Aug 2026, 00:48
33,831
-12
18 Aug 2026, 23:27
33,843
-17
17 Aug 2026, 20:56
33,860
-28
16 Aug 2026, 18:18
33,888
-30
15 Aug 2026, 07:04
33,918
first reading
Engagement
99 posts held, back to 31 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 69 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
125.7%
avg views ÷ 34,044 subscribers
Avg views / post
42,800
71 posts measured
Reaction rate
0.989%
reactions ÷ views · ER floor
Posts in window
71
of 99 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 9 September 2026
Posts held
99 (31 July 2026 – 9 September 2026)
Views total
3,038,830
Reactions total
30,046
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Sept 2026, 13:55 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
≈1,530
Videos
≈666
Links
≈1,590
Lifetime counters from Telegram’s own channel header, read 9 September 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
25m 56s
Average length
1m 02s
Measured directly from 25 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
40,511 reactions across 96 posts, in 22 distinct kinds. The most used accounts for 47.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
19,146
47.3%
❤
12,895
31.8%
👍
5,272
13.0%
🫡
1,606
3.96%
🙏
1,003
2.48%
💔
154
0.38%
👏
130
0.321%
🎉
90
0.222%
🤝
67
0.165%
🏆
25
0.062%
😈
25
0.062%
😍
14
0.035%
🤩
14
0.035%
🤬
14
0.035%
⚡
13
0.032%
💯
13
0.032%
🤯
9
0.022%
🤔
8
0.02%
😢
7
0.017%
🤗
4
0.01%
2 further kinds
2
0.005%
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 99 of the 99 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 41,732 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 99 most recent posts we hold, published 31 July 2026 to 9 September 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
97
across the posts below
Posts paid on
75
of 99 we hold a reading for · 76%
Most on one post
12
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @usf_army. 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 99 most recent posts we hold for this entry, published 31 July 2026 to 9 September 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.
🔥 «Бархатний сезон» в Новоросійську
У ніч на 9 вересня Сили оборони України за участі 1-го окремого центру СБС завдали комплексного удару по військово-морській базі «Новороссийск» у Краснодарському краї рф.
Це один із ключових пунктів базування кораблів чорноморського флоту рф, який використовується для їх технічного обслуговування та матеріально-технічного забезпечення.
⚠️Відстань до цілі — близько 400 км.
Кома…
💥Протягом доби підрозділами угруповання Сил безпілотних систем уражено/знищено 2219 цілей противника.
Серед уражених цілей:
⚡️483 одиниці особового складу, з них 210 — ліквідовано;
49 точок вильоту дронів;
30 РЛС, РЕР, РЕБ та засобів зв’язку;
184 одиниці автомобільної техніки;
12 артилерійських систем;
318 безпілотних літальних апаратів противника типу «коптер», «крило», «шахед» та гербера»;
З початку вересня (01-0…
🐴 «Ахіллес» зриває наступальні дії противника на Харківському напрямку
На відео — добірка уражень піхоти противника, яка намагалася просуватися до українських позицій на Харківському напрямку.
Завдяки злагодженій роботі екіпажів оператори 429-ї окремої бригади «Ахіллес» Сил безпілотних систем виявляють штурмові групи та завдають по них точних ударів.
Кожне таке ураження послаблює наступальний потенціал противника …
💥Протягом доби підрозділами угруповання Сил безпілотних систем уражено/знищено 2030 цілей противника.
Серед уражених цілей:
⚡️453 одиниці особового складу, з них 200 — ліквідовано;
36 точок вильоту дронів;
30 РЛС, РЕР, РЕБ та засобів зв’язку;
178 одиниць автомобільної техніки;
4 артилерійські систем;
294 безпілотних літальних апаратів противника типу «коптер», «крило», «шахед» та гербера»;
1 літак/гелікоптер.
З поч…
Ви бачите те, що ворог намагається приховати.
Знаходите цілі, розкриваєте плани, здобуваєте інформацію, яка стає основою для рішень і дій на полі бою.
Більшість вашої роботи залишається за кадром. Але її результат бачать усі.
Дякуємо воєнним розвідникам за точність, витримку та роботу, яка щодня допомагає нищити ворога й берегти життя наших воїнів. 🫡
З Днем воєнної розвідки України!
💥Протягом доби підрозділами угруповання Сил безпілотних систем уражено/знищено 2045 цілей противника.
Серед уражених цілей:
⚡️422 одиниці особового складу, з них 219 — ліквідовано;
54 точки вильоту дронів;
27 РЛС, РЕР, РЕБ та засобів зв’язку;
127 одиниць автомобільної техніки;
10 артилерійські систем;
281 безпілотних літальних апаратів противника типу «коптер», «крило», «шахед» та гербера»;
З початку вересня (01-06…
🔥 Не вертольот, а дрон долетів до НПЗ у Рязані
У ніч на 6 вересня оператори 1-го окремого центру БпС та 414-ї окремої бригади БпС «Птахи Мадяра» разом з іншими складовими СОУ уразили Рязанський НПЗ.
Це один із найбільших нафтопереробних заводів росії з потужністю близько 17 млн тонн нафти на рік. Підприємство виробляє бензин, дизельне та авіаційне пальне й інші нафтопродукти, які використовуються, зокрема, для забе…
💥Протягом доби підрозділами угруповання Сил безпілотних систем уражено/знищено 1643 цілей противника.
Серед уражених цілей:
⚡️344 одиницю особового складу, з них 162 — ліквідовано;
29 точок вильоту дронів;
37 РЛС, РЕР, РЕБ та засобів зв’язку;
109 одиниць автомобільної техніки;
2 артилерійські систем;
190 безпілотних літальних апаратів противника типу «коптер», «крило», «шахед» та гербера»;
З початку вересня (01-05.…
Кілька секунд — і «Булава» вже в небі.
Але її робота починається задовго до запуску. Поки один екіпаж готує борт, інші шукають ціль, ведуть розвідку та збирають необхідні дані.
У СБС результат — це завжди системна робота команди.
🔥 413 окремий полк «Рейд»
😎 Facebook 🕊 Instagram
📹 Youtube 👥 X.com 🧵Threads
🏢WhatsApp 📞Viber 🥳 TikTok
🔗 Вакансії в СБС
💥Протягом доби підрозділами угруповання Сил безпілотних систем уражено/знищено 2066 цілей противника.
Серед уражених цілей:
⚡️421 одиницю особового складу, з них 203 — ліквідовано;
46 точок вильоту дронів;
35 РЛС, РЕР, РЕБ та засобів зв’язку;
139 одиниць автомобільної техніки;
10 артилерійських систем;
343 безпілотних літальних апаратів противника типу «коптер», «крило», «шахед» та гербера»;
⛴3 одиниці флоту.
З поч…
Твій результат — це ті, кого ти підготував
До 24 лютого — школа, бізнес-освіта, робота з людьми. Після — військо. Сьогодні він навчає бійців у 429-й окремій бригаді «АХІЛЛЕС» Сил безпілотних систем
Сам він каже просто: «Учитель раз — учитель назавжди».
Як готувати людей до війни, чого курсанти можуть навчити самого інструктора, чи нормально боятися та чому жодної «вундервафлі» не існує — говоримо без зайвого пафос…
💥Протягом доби підрозділами угруповання Сил безпілотних систем уражено/знищено 2185 цілей противника.
Серед уражених цілей:
⚡️428 одиниць особового складу, з них 206 — ліквідовано;
61 точку вильоту дронів;
23 РЛС, РЕР, РЕБ та засобів зв’язку;
137 одиниць автомобільної техніки;
11 артилерійських систем;
385 безпілотних літальних апаратів противника типу «коптер», «крило», «шахед» та гербера»;
⛴2 одиниці флоту.
З поч…
🔥296❤49👍32🙏7🏆3🫡3
Showing the 12 most recent of 99 posts we hold for @usf_army. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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 54 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.
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.
Read from Telegram’s recommendation API, most recently 3 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.
VD:Розвідка Ворога @VictoryDrones · 38,628 Telegram ranks this channel #37 of 70 here — alongside 69 others — read 31 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cross-platform identity — Wikidata
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
This handle named by sources this register does not control and did not measure — each shown exactly as found, attributed by name, dated to when it was read.
Wikipedia
2 Wikipedia articles name this handle in its article text, found by searching for a t.me link inside the article source. A citation is a notability signal, not a verification: nobody here confirmed the cited post is genuine or still says what the article quotes. Article text is CC BY-SA 4.0, Wikipedia contributors; snippets below are short excerpts.
413th Regiment of Unmanned Systems(en.wikipedia.org) “…==Commanders==
* Major Karas Yevhen Vasilyevich (2024-){{Cite web |url=https://t.me/usf_army/376 |title=Сили Безпілотних Систем |website=Telegram…” read 23 August 2026
413-й окремий полк безпілотних систем «Рейд»(uk.wikipedia.org) “…2025}}
== Командування ==
* (2024) майор{{Cite web |url=https://t.me/usf_army/376 |title=Сили Безпілотних Систем |website=Telegram |access-date=2025-02-04…” read 23 August 2026
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 9 September 2026 — this
entry's latest reading, not the date you are reading this.
“Сили безпілотних систем ЗС України” (@usf_army), 34,044 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/usf_army.
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.