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 13 September 2026 and assigned it the closest of 31 fixed categories, at 93% 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
26 measurements spanning 92 days, net +1,163. 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 2,158–6,238 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)
Subscribers
Change
6 Nov 2026, 05:36
5,767
+17
3 Nov 2026, 11:16
5,750
+3,121
31 Oct 2026, 02:37
2,629
-2,229
28 Oct 2026, 01:28
4,858
+14
24 Oct 2026, 17:55
4,844
-209
22 Oct 2026, 01:07
5,053
+17
18 Oct 2026, 20:46
5,036
+11
16 Oct 2026, 02:51
5,025
+4
13 Oct 2026, 05:17
5,021
+58
6 Oct 2026, 15:35
4,963
-49
30 Sept 2026, 00:01
5,012
+414
15 Sept 2026, 17:37
4,598
+5
11 Sept 2026, 21:57
4,593
+19
7 Sept 2026, 19:56
4,574
+6
2 Sept 2026, 20:38
4,568
-14
31 Aug 2026, 00:42
4,582
+5
28 Aug 2026, 00:41
4,577
+3
24 Aug 2026, 23:28
4,574
+10
21 Aug 2026, 03:12
4,564
+12
17 Aug 2026, 20:49
4,552
first reading
Engagement
71 posts held, back to 1 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 8 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
11.8%
avg views ÷ 5,767 subscribers
Avg views / post
681
20 posts measured
Reaction rate
0.071%
reactions ÷ views · ER floor
Posts in window
20
of 71 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. It is computed over the 2 of 20 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 4 November 2026
Posts held
71 (1 August 2026 – 4 November 2026)
Views total
13,616
Reactions total
1
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
4 Nov 2026, 19:10 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.
Reaction mix
4 reactions across 4 posts, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
4
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 7 of the 71 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 4 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 71 most recent posts we hold, published 1 August 2026 to 4 November 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 20 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).
NBA 美国职业篮球联赛
—————————————--
奥兰多魔术 vs 波士顿凯尔特人
NBA 美国职业篮球联赛
11/02 04:30
让分[欧洲盘]
波士顿凯尔特人 [email protected]
—————————————--
印第安纳步行者 vs 布鲁克林篮网
NBA 美国职业篮球联赛
11/02 06:00
让分[欧洲盘]
印第安纳步行者 [email protected]
—————————————--
金州勇士 vs 洛杉矶快船
NBA 美国职业篮球联赛
11/02 09:30
总分大小[欧洲盘]
大 [email protected]
—————————————--
洛杉矶湖人 vs 多伦多猛龙
NBA 美国职业篮球联赛
11/02 10:00
让分[欧洲盘]
多伦多猛龙 [email protected]
—————————————--
赛事无神、红黑莫怪、仅供参考
❤1
Showing the 12 most recent of 71 posts we hold for @QSTY988. 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 116 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.
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.
“122体育 赛事推荐、足球、nba篮球|世界杯” (@QSTY988), 5,767 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/QSTY988.
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.
