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Channel

🏀 NBA Injuries

@NBAInjuries

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry

105,368subscribers

-1,686 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001297570888
TypeChannel
Username@NBAInjuries
Description🇪🇸Lesiones, traspasos y noticias de la NBA 🇺🇸Injuries, news, trades from the entire NBA🏀 Business: @NBALuka FREE CHANNEL NBA https://t.me/+k8mEnrjSvnU5Zjc0
CreatedBetween 1 April 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/NBAInjuries

Topic

Gambling & betting — 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 82% 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.

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.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 1 other registered channel. This entry also forms a group of 2 channels linked by matching posts. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@apuestas_noticias_nba/60323 Aug 2026, 19:06 UTC@NBAInjuries/36731 · this entry8 Aug 2026, 10:55 UTC1.005 days
@apuestas_noticias_nba/60333 Aug 2026, 19:22 UTC@NBAInjuries/36775 · this entry12 Aug 2026, 16:40 UTC1.009 days
@NBAInjuries/36711 · this entry5 Aug 2026, 16:25 UTC@apuestas_noticias_nba/60485 Aug 2026, 16:25 UTC1.00under a minute
@NBAInjuries/36726 · this entry7 Aug 2026, 10:31 UTC@apuestas_noticias_nba/60627 Aug 2026, 10:31 UTC1.00under a minute
@NBAInjuries/36727 · this entry7 Aug 2026, 11:54 UTC@apuestas_noticias_nba/60637 Aug 2026, 11:54 UTC1.00under a minute
@NBAInjuries/36728 · this entry7 Aug 2026, 22:41 UTC@apuestas_noticias_nba/60647 Aug 2026, 22:41 UTC1.00under a minute
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@apuestas_noticias_nba6 (6/6 hand-verifiable sample passed)1.00under a minutethis entry (4–2)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 2 of the 2 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 76 comparable posts for this entry, running 5 August 2026 to 7 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Of the group of 2 channels, the one whose matching posts we hold earliest is @apuestas_noticias_nba. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 11 November 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.

Channels linked by matching posts

This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

103,460107,054105,257105,3686 August 202610 November 2026
64 measurements spanning 97 days, net -1,686. 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 102,921–107,593 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
10 Nov 2026, 19:47105,368+449
9 Nov 2026, 07:05104,919+84
8 Nov 2026, 01:29104,835+46
7 Nov 2026, 00:06104,789+78
6 Nov 2026, 02:15104,711-9
5 Nov 2026, 00:17104,720+36
3 Nov 2026, 21:24104,684+216
2 Nov 2026, 18:40104,468+46
1 Nov 2026, 15:36104,422+29
31 Oct 2026, 17:38104,393+66
30 Oct 2026, 19:10104,327+12
29 Oct 2026, 20:41104,315+71
28 Oct 2026, 22:07104,244+148
27 Oct 2026, 17:46104,096+112
26 Oct 2026, 16:10103,984+105
25 Oct 2026, 16:34103,879+68
24 Oct 2026, 17:59103,811+70
23 Oct 2026, 17:09103,741+1
22 Oct 2026, 14:05103,740+116
21 Oct 2026, 07:41103,624first reading

Engagement

557 posts held, back to 26 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 223 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
15.1%
avg views ÷ 105,368 subscribers
Avg views / post
15,900
276 posts measured
Reaction rate
1.06%
reactions ÷ views · ER floor
Posts in window
278
of 557 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 273 of 276 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 10 November 2026
Posts held557 (26 July 2026 – 10 November 2026)
Views total4,381,790
Reactions total46,447
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Nov 2026, 21:01 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
≈5,440
Videos
≈2,060
Links
≈286

Lifetime counters from Telegram’s own channel header, read 10 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
45m 50s
Average length
19s

Measured directly from 142 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

86,364 reactions across 511 posts, in 31 distinct kinds. The most used accounts for 29.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤25,22929.2%
🔥17,65320.4%
🤯12,88114.9%
😱6,8367.92%
🤔3,6834.26%
🙈3,6444.22%
👍2,2892.65%
🌚2,1852.53%
🤩1,3551.57%
🙏1,2711.47%
👏1,1091.28%
😈1,0061.16%
🥰8961.04%
❤‍🔥8190.948%
🙉8120.94%
👀8080.936%
🫡5290.613%
✍4990.578%
👌4060.47%
🎅3730.432%
11 further kinds2,0812.41%

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 522 of the 557 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 88,275 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 557 most recent posts we hold, published 26 July 2026 to 10 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.

Telegram Stars

Stars received
74
across the posts below
Posts paid on
59
of 548 we hold a reading for · 11%
Most on one post
3
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @NBAInjuries. 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 557 most recent posts we hold for this entry, published 26 July 2026 to 10 November 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.

Recent posts

Telegram’s own ‘edited’ marker: 25 of 278 posts held from the last 30 days (8.99%) 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).

10 Nov 2026, 19:04 UTC≈6,890 views240 reactions1 Starread 10 November 2026

Tatum vs Jaylen Brown tonight👀

🌚110🔥83😱25❤19🤔3

10 Nov 2026, 18:39 UTC≈8,370 views62 reactionsread 10 November 2026

🤨🪚❌Lauri Markkanen OUT

❤35🤯16👏9👍2

10 Nov 2026, 04:19 UTC≈16,900 views404 reactions1 Starread 10 November 2026
Video

WEMBANYAMA 😳😳😳😳

🤯287❤52🔥43😍14🆒8

10 Nov 2026, 02:53 UTC≈18,900 views317 reactionsread 10 November 2026
Video

James Harden... WTFFFF

🎅215🤔43🌚25🙈16❤8👏4🤗3🆒3

10 Nov 2026, 01:01 UTC≈19,000 views317 reactionsread 10 November 2026
Video

LUKA DONCIC IS ABSURD NO LOOK BEHIND THE BACK DIME. 🔥

❤208🔥86👏14😱6🙈2👍1

9 Nov 2026, 22:33 UTC≈24,900 views210 reactionsread 10 November 2026

💬🕵️‍♀️❌Austin Reaves OUT

😱130❤31🤯29👀8👍8💘3🙏1

9 Nov 2026, 21:53 UTC≈22,000 views154 reactionsread 10 November 2026

‼️🔌❌Zion Williamson OUT

🤯101❤18😱16🔥12👍6🙏1

9 Nov 2026, 20:56 UTC≈22,200 views129 reactionsread 10 November 2026

‼️❌Trey Murphy, Yves Missi (Pelicans) OUT

🤯97❤22👍8🙏2

9 Nov 2026, 19:04 UTC≈23,500 views99 reactionsread 10 November 2026
Photo

🚑INJURY REPORT

👍66❤15🤯10👏7🙏1

9 Nov 2026, 18:48 UTC≈21,400 views99 reactionsread 10 November 2026

🧑‍🦯❌Devin Vassell OUT

🤔67😱19🔥7❤4🤯1🙏1

9 Nov 2026, 18:02 UTC≈24,600 views289 reactionsread 10 November 2026

💬📞✅Luka Doncic disponible

🔥217❤38👍19👌15

Showing the 12 most recent of 557 posts we hold for @NBAInjuries. 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.

Posts recorded as deleted after publishing

We recorded 58 posts on @NBAInjuries 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
10 November 2026
Median time before seen missing
24 hours
Seen missing in the last 30 days
27

Forward network

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.

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.

🏀 NBA NEWS 24
@nbanews24italia · 10,617
#1
Info Basket NBA 🏀
@InfoBasketNBA · 10,452
#2
Hoops Injury & Lineup News
@nba_injurynews · 10,782
#3
NBA Mentality
@NBAmentality · 7,876
#4
Dunkest
@DunkestOfficial · 26,443
#5
БЛОКШОТ | Баскетбол NBA
@blockshotnba · 4,666
#6
NbaBadNews
@NbaBadNews · 8,860
#7
dikatipsfree
@dikatipsfree · 1
#8
Веская причина бросить в клатче
@vklatche · 14,001
#9
BetMoney TIPS FREE ✅
@betmooney365 · 18,360
#10
NBA ReporteR
@NBAReporter · 3,576
#11
Около Купили Негра
@givemebensimmons1 · 1,758
#12
topbasketteam
@realtopbasket · 68,977
#13
Pick’n’Talk | Панкрашев Взял Мяч | Баскетбол NBA
@pickntalk_pankrashev · 3,968
#14
canal de teste
@triadebets · 35
#15
LK TIPS
@LkTips7 · 3,484 (as read 23 August 2026)
#16
K SCHONRRÃO 🐕
@raphinhadogreen · 7,401
#17
Leozin Tips | PROPS
@leozintipsprops · 2,514
#18
Leozin Tips | NBA
@leozintipsnba · 10,889
#19
NBA. NEWS
@nba_best_news · 40,297
#20
Коля смотрит НБА
@nba_tg · 2,021
#21
Дневник Баскетболиста 🏀
@dmitrichnba · 6,836
#22
Leozin
@leozintipsfree · 13,549
#23
Josh | Shooters Tips | Free +EV ⚽️🏀 Football + Basketball Tips
@ShootersTips · 3,107
#24
NBA FREE
@cabreloanba · 7,203
#25
Alex Tips 🏀
@AlexTipsNBA · 1,369
#26
santballbet
@Santballbet · 13
#27
NBAFootFun
@NBAfootfun · 11,130
#28
Clutch Points
@Clutchpoints · 6,067
#29
Ingeniero Picks 💪💶
@PicksIngeniero · 7,498
#30
DOC | TIRS — MTO & UTR
@tirsmedbot · 2,479
#31
Diário de Informações 📰📝🚨
@diariodeinfos · 31,726
#32
Около AANBA - Антон Кузьмичев.
@aanbaru · 10,737
#33
paivatipsss
@paivatipsss · 4
#34
Tipster Charlie [FREE] +EV Bets 🤖
@TipsterCharlie_TC · 20,701
#35
Proshuta.basketball
@proshutabasketball · 4,156
#36
João da Info🗞
@joaodainfotips · 58,078 (as read 23 August 2026)
#37
BH Tips [PROPS]
@bhtipsprops · 652 (as read 23 August 2026)
#38
PÉIA
@DodoTips · 1,063
#39
Hospício das Bets (será desativado em 28/2)
@thesmartbettorxxx · 4,906
#40
msctipsss
@msctipsss · 2
#41
God Damn It!
@GodDamnItNBA · 6,326
#42
🔫 BH Tips [FREE]
@bhtipscsgo · 1,865
#43
OddsNotifier - Demo Channel
@oddsnotifierdemo · 1,948
#44
Схемы Дока Риверса
@cmon_letsgo · 972
#45
DIME
@ProoNBA · 2,342
#46
FREE - VLA
@VLABETS · 1,372
#47
Tipster Syro Sirotheau
@picksNBA · 2,377
#48
VF TIPS ⚡️
@vf_tips · 13,624 (as read 23 August 2026)
#49
NbaBadTweet
@NbaBadTweet · 2,836
#50
BOT365 - Chasing
@bot365chasing · 2,439
#51
The Smart Bettor (será desativado em 28/02)
@thesmartbettorsb · 11,056
#52
NBA
@NBA2K16 · 32,017
#53
guiadasapostasfree
@guiadasapostasfree · 6
#54
Iago Garcia - Free
@iagogarciabets · 8,085
#55
📝 GBEY - NOTICIAS DE TENIS Y PÁDEL
@noticiastenisgbey · 2,770
#56
Leo Boom
@BoomBetITA · 115,780
#57
Tipster Charlie’s Alt Houses/Books 📚🏡
@TipsterCharlieAlts · 2,092
#58
FranZone - Zona Betting
@franzonebetting · 5,471
#59
Белый не умеет прыгать
@whiteheadjump · 3,287
#60
Arenna Tênis 🎾
@bonfagrupofree · 8,240
#61
MCLOVIN
@mclovintipster10 · 5,684
#62
Calvo Steaks 🥩
@ElCalvoBets · 654
#63
Green y Green - Férias
@greenygreenbets · 7,069
#64
DOC | TIRS — MTO & UTR
@tirsmedbott · 804
#65
#Free | SoloTenisPicks
@solotenispicks · 12,302
#66
MT
@MtTipssss · 5,298
#67
PABLO TIPS PUNTER FREE ⚽️🏀💥
@pablotipspunterfree · 27,975 (as read 23 August 2026)
#68
NBA Daily News
@nbanewsdaily · 717
#69
Canal FREE CALLEJA ⚽️🏀
@basketpicks1986 · 344
#70
Apuestas Tenis Gbey 🎾
@apuestasgbeytenis · 3,338
#71
🎾 Tennis Masterr Picks
@tennismasterrpicks · 10,716
#72
Винодельня Поповича | San Antonio Spurs
@SpursNation · 1,298
#73
(Free) DV Tips 🔎
@dv_tips · 2,564
#74
TipsterTrust - La verdad sobre los Tipsters
@tipstertrust · 10,271
#75
ILMECC
@ilmecc19813 · 5
#76
Danilo Martins - Gratuito 🧑‍💻
@daniloqa · 23,323 (as read 23 August 2026)
#77
Theodipiero Bets
@theodipiero · 20,851 (as read 23 August 2026)
#78
Саня Никс вещает | New York Knicks NBA
@go_knicks · 1,311
#79
ELITE TEAM MTO🎾
@elitemto · 663 (as read 23 August 2026)
#80
NBA formula
@nbaformula · 13,542
#81

Read from Telegram’s recommendation API, most recently 23 August 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.

Dunkest
@DunkestOfficial · 26,443
Telegram ranks this channel #3 of 65 here — alongside 64 others — read 12 September 2026
𝐑𝐚𝐬𝐞𝐜𝐓𝐢𝐩𝐬 ®️⚽️⛳️ 🏀
@RasecTips · 26,622
Telegram ranks this channel #41 of 42 here — alongside 41 others — read 11 September 2026
Blab LIVE 🔴
@blablive · 19,351
Telegram ranks this channel #43 of 54 here — alongside 53 others — read 1 October 2026
Leo Boom
@BoomBetITA · 115,780
Telegram ranks this channel #45 of 64 here — alongside 63 others — read 23 August 2026
ILMECC
@ilmecc19813 · 5
Telegram ranks this channel #49 of 53 here — alongside 52 others — read 23 August 2026
LMP Bravo
@lmpbravo · 35,712
Telegram ranks this channel #53 of 56 here — alongside 55 others — read 6 September 2026
Corvo Bets
@Corvo_bets · 38,424
Telegram ranks this channel #53 of 56 here — alongside 55 others — read 6 September 2026
BetMoney TIPS FREE ✅
@betmooney365 · 18,360
Telegram ranks this channel #55 of 59 here — alongside 58 others — read 3 October 2026
@ValueBetSpotter
@VBSTelegram · 32,327
Telegram ranks this channel #56 of 87 here — alongside 86 others — read 16 September 2026
📢 EA FC ITALIA 📢 || CHANNEL
@EaFc_Italia · 21,845
Telegram ranks this channel #58 of 60 here — alongside 59 others — read 24 September 2026
R10 Score
@r10score · 33,747
Telegram ranks this channel #59 of 59 here — alongside 58 others — read 2 September 2026
NBA & NFL Prop Bets 🇺🇸
@NBA_NFL_props · 51,049
Telegram ranks this channel #60 of 76 here — alongside 75 others — read 2 September 2026
Average Juventino Guy | AJG
@averagejuventinoguy · 20,798
Telegram ranks this channel #61 of 66 here — alongside 65 others — read 25 September 2026
FALSA FAMA #Juntosemisturados
@comunidadeFalsafamatips · 65,709
Telegram ranks this channel #62 of 63 here — alongside 62 others — read 6 September 2026
NBA. NEWS
@nba_best_news · 40,297
Telegram ranks this channel #62 of 82 here — alongside 81 others — read 3 September 2026
CRISR777
@predicciones777 · 19,311
Telegram ranks this channel #64 of 64 here — alongside 63 others — read 28 September 2026
Diário de Informações 📰📝🚨
@diariodeinfos · 31,726
Telegram ranks this channel #66 of 67 here — alongside 66 others — read 5 September 2026
LUKA O MAGIC 🪄🔥
@lukamagicbrasil · 148,894
Telegram ranks this channel #66 of 66 here — alongside 65 others — read 23 August 2026
THIERRY REGRAS
@bingothierryregras · 64,093
Telegram ranks this channel #69 of 69 here — alongside 68 others — read 23 August 2026
BOLEIROS TIPS
@boleirostips · 43,875
Telegram ranks this channel #70 of 70 here — alongside 69 others — read 2 September 2026
Apostas e Palpites - Futebol
@apostasepalpites · 196,019
Telegram ranks this channel #71 of 72 here — alongside 71 others — read 23 August 2026
Pronósticos Fútbol 365 🇪🇸
@pronosticosfutbol365 · 54,433
Telegram ranks this channel #72 of 73 here — alongside 72 others — read 23 August 2026
paivatipsss
@paivatipsss · 4
Telegram ranks this channel #72 of 75 here — alongside 74 others — read 23 August 2026
Apostas e Palpites - NBA
@AePNBA · 52,108
Telegram ranks this channel #73 of 74 here — alongside 73 others — read 23 August 2026

This channel appears in 32 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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

“🏀 NBA Injuries” (@NBAInjuries), 105,368 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/NBAInjuries.

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.