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Channel

کانال و گروه همفکری و تحلیل بت شرطبندی | آموزش شرط بندی

@help_For_Bet

On this record: Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

46,169subscribers

-4,582 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001376832707
TypeChannel
Username@help_For_Bet
CreatedBetween 1 April 2018 and 31 August 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live25 August 2026
Measurements held19
Confirmed unchanged1 time, most recently 25 August 2026
On Telegramt.me/help_For_Bet

Growth

38,84650,75144,798.56 August 2026 — 50,751 subscribers6 August 2026 — 50,751 subscribers7 August 2026 — 50,274 subscribers8 August 2026 — 49,929 subscribers9 August 2026 — 44,589 subscribers10 August 2026 — 41,662 subscribers11 August 2026 — 42,420 subscribers12 August 2026 — 41,866 subscribers13 August 2026 — 41,671 subscribers14 August 2026 — 40,818 subscribers16 August 2026 — 39,772 subscribers17 August 2026 — 39,272 subscribers18 August 2026 — 39,044 subscribers19 August 2026 — 38,846 subscribers20 August 2026 — 40,559 subscribers21 August 2026 — 41,996 subscribers23 August 2026 — 48,406 subscribers24 August 2026 — 47,222 subscribers25 August 2026 — 46,169 subscribers46,1696 August 202625 August 2026
19 measurements spanning 19 days, net -4,582. 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 37,060–52,537 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
25 Aug 2026, 17:5846,169-1,053
24 Aug 2026, 19:2847,222-1,184
23 Aug 2026, 03:0448,406+6,410
21 Aug 2026, 13:1441,996+1,437
20 Aug 2026, 15:5340,559+1,713
19 Aug 2026, 12:3438,846-198
18 Aug 2026, 11:5439,044-228
17 Aug 2026, 12:5839,272-500
16 Aug 2026, 08:0839,772-1,046
14 Aug 2026, 19:2840,818-853
13 Aug 2026, 07:1641,671-195
12 Aug 2026, 08:3241,866-554
11 Aug 2026, 05:0142,420+758
10 Aug 2026, 07:4141,662-2,927
9 Aug 2026, 11:0144,589-5,340
8 Aug 2026, 08:2749,929-345
7 Aug 2026, 08:2050,274-477
6 Aug 2026, 10:1150,751no change
6 Aug 2026, 08:4850,751first reading

Engagement

59 posts held, back to 19 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 41 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
5.16%
avg views ÷ 46,169 subscribers
Avg views / post
2,380
50 posts measured
Reaction rate
0.884%
reactions ÷ views · ER floor
Posts in window
50
of 59 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 47 of 50 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 25 August 2026
Posts held59 (19 July 202625 August 2026)
Views total119,188
Reactions total982
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken25 Aug 2026, 16:00 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

1,000 reactions across 52 posts, in 6 distinct kinds. The most used accounts for 35.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍35935.9%
32232.2%
🔥30030.0%
👌161.60%
👎20.2%
👀10.1%

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 54 of the 59 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 1,001reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 59 most recent posts we hold, published 19 July 2026 to 25 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

25 Aug 2026, 13:49 UTC≈2,450 views20 reactionsread 25 August 2026
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🔥 تحلیل بازی‌های EFL | سه‌شنبه ۲۵ آگوست تحلیل کوتاه + پیشنهاد ریسک متوسط 👇 ⚽️ کاردیف 🆚 نورویچ کاردیف در خانه تیم خطرناک‌تری است و نورویچ هم احتمالاً با توجه به شرایط جام، تغییراتی در ترکیب خواهد داشت. بازی از نظر گل می‌تواند نزدیک باشد و برای برد مستقیم، میزبان ریسک بیشتری دارد. 🎯 پیشنهاد: کاردیف یا مساوی (1X) 🔮 نتیجه احتمالی: 2-1 ⚽️ دونکاستر 🆚 میدلزبرو میدلزبرو از نظر کیفیت ترکیب و سطح رقابت یک پله بالاتر است

8🔥7👍5

25 Aug 2026, 11:49 UTC≈1,900 views1 reactionsread 25 August 2026
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🔥 لالیگا | تحلیل ویژه ⚽️ والنسیا 🆚 رئال بتیس 📅 سه‌شنبه ۲۵ آگوست والنسیا بازی اول فصل را در مستایا مقابل سلتا ۰-۰ کرد؛ بازی‌ای که از نظر هجومی برای این تیم چندان قانع‌کننده نبود. در طرف مقابل، بتیس با برد ۱-۰ مقابل سوسیداد شروع کرد و از نظر ایجاد موقعیت عملکرد بهتری داشت. 📊 آمار فرم اخیر: والنسیا در ۱۰ بازی اخیر لیگ به‌طور میانگین ۱.۴ گل زده و ۱.۳ گل دریافت کرده؛ میانگین مالکیتش هم حدود ۴۲.۶٪ بوده. بتیس در ۱۰ بازی

1

25 Aug 2026, 09:14 UTC≈2,370 views30 reactionsread 25 August 2026
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🔥 تحلیل بازی‌های Champions League 📅 سه‌شنبه ۲۵ آگوست تحلیل کوتاه + پیشنهاد ریسک متوسط 👇 ⚽️ صباح 🆚 هاپوئل بئرشبع صباح بازی رفت را ۲-۱ باخت، اما حالا در خانه باید برای جبران نتیجه جلو بکشد. در بازی رفت هاپوئل از نظر آماری برتری محسوسی داشت؛ ۶۷٪ مالکیت، ۱۸ شوت و xG حدود ۲.۰۱ در مقابل ۰.۶۰ صباح. با این حال فشار میزبان برای گل و فضای ایجادشده در ضدحملات هاپوئل، بازی را برای گل‌زنی هر دو تیم مناسب می‌کند. 🎯 پیشنهاد: هر

👍159🔥6

24 Aug 2026, 16:55 UTC≈1,980 views22 reactionsread 25 August 2026
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🎯 مارتینگل در شرط‌بندی؛ سود تضمینی یا تله؟ مارتینگل یک روش مدیریت مبلغ شرط است، نه روشی برای پیش‌بینی نتیجه. ایده‌اش خیلی ساده است: فرض کن هر بار ۱ واحد شرط می‌بندی 👇 ❌ باخت → شرط بعدی ۲ واحد ❌ دوباره باخت → ۴ واحد ❌ دوباره باخت → ۸ واحد ✅ برد → زنجیره متوقف می‌شود و دوباره از ۱ واحد شروع می‌کنی. 📌 هدف این است که یک برد، بخشی از باخت‌های قبلی را جبران کند. اما مشکل اصلی کجاست؟ 👀 مثلاً فقط ۶ باخت پشت‌سرهم یعنی:

👍10🔥65👌1

24 Aug 2026, 14:55 UTC≈1,930 views1 reactionsread 25 August 2026
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🇮🇹 تحلیل دو بازی سری‌آ | ۲۴ آگوست ━━━━━━━━━━━━━━ 🔴🔵 بولونیا 🆚 لاتزیو ⏰ 20:00 بولونیا با مربی جدید، دومنیکو تدسکو، فصل را در خانه شروع می‌کند و در تابستان نوسان داشته؛ اما اضافه شدن پیکولی و دووبیک قدرت هجومی را بیشتر کرده است. لاتزیو هم با گتوزو وارد فصل شده و بعد از حذف غیرمنتظره از کوپا ایتالیا مقابل مانتووا، فشار زیادی روی تیم وجود دارد. 📊 در ۱۶۶ تقابل قبلی، بولونیا ۶۰ برد، لاتزیو ۵۸ برد و ۴۸ بازی مساوی شده؛ ب

👀1

24 Aug 2026, 12:54 UTC≈2,580 views27 reactionsread 25 August 2026
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🇪🇸 اوساسونا 🆚 لوانته | 21:00 اوساسونا اولین بازی لیگش را انجام می‌دهد چون بازی هفته اولش عقب افتاد؛ لوانته اما در افتتاحیه ۰-۳ مقابل اسپانیول شکست خورد. اوساسونا در ال‌سادار معمولاً تیم سختی است و در سه سفر اخیر لوانته به این ورزشگاه، هر سه بار شکست خورده است. از طرفی اوساسونا در ۱۸ بازی متوالی خانگی لیگ گل زده و لوانته بعد از شکست سنگین هفته اول باید ریسک بیشتری کند. مدل‌های پیش‌بینی هم شانس برد اوساسونا را بالاتر

🔥10👍98

24 Aug 2026, 10:54 UTC≈2,180 views24 reactionsread 25 August 2026
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🔥 تحلیل ویژه فولام 🆚 چلسی 🏆 Premier League | هفته اول 📍 Craven Cottage ⏰ 22:30 به وقت ایران ━━━━━━━━━━━━━━ 🔵 فولام – چلسی این مسابقه اولین بازی رسمی هر دو تیم در فصل جدید است و از همان ابتدا یک نکته مهم وجود دارد: هر دو تیم با مربی جدید وارد فصل شده‌اند؛ آلوارو آربلوا برای فولام و ژابی آلونسو برای چلسی. بنابراین نمی‌شود صرفاً نتایج فصل قبل را ملاک قرار داد. با این حال، از نظر کیفیت نفرات و عمق ترکیب، چلسی دست بال

👍107🔥7

24 Aug 2026, 08:54 UTC≈2,450 views15 reactionsread 25 August 2026
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⚽️ تحلیل بازی‌های لیگ برتر ایران | ۲۴ آگوست ۲۰۲۶ 📌 تحلیل آماری + پیشنهادهای ریسک متوسط ⚠️ بدون انتخاب قطعی؛ قبل از بازی ترکیب‌ها و غایبان بررسی شوند. ━━━━━━━━━━━━ 🔴 تراکتور 🆚 پرسپولیس ⏰ 18:30 تراکتور در دو هفته اول بدون گل خورده شروع کرده و پرسپولیس هم خط حمله بهتری داشته است. با توجه به حساسیت بازی و روند کم‌گل لیگ، انتظار بازی کنترل‌شده‌ای دارم. 🎯 پیشنهاد: زیر 3.5 گل 🔮 نتیجه احتمالی: 1-0 / 1-1 ━━━━━━━━━━━━ 🟢

7🔥6👍2

23 Aug 2026, 16:57 UTC≈2,560 views37 reactionsread 25 August 2026
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📊🔥 بهترین سایت‌ها و اپ‌ها برای تحلیل مسابقات اگه می‌خوای قبل از هر شرط، بازی رو درست بررسی کنی، فقط به اسم تیم‌ها و ضریب نگاه نکن! 😎 این ۳ ابزار رو داشته باش 👇 ━━━━━━━━━━━━━━ 🟣 SofaScore یکی از کامل‌ترین ابزارها برای تحلیل فوتبال. 📊 آمار دقیق بازی و بازیکنان 📈 xG و شوت‌مپ 🔥 فرم اخیر تیم‌ها 👥 ترکیب و مصدومیت‌ها ⚔️ آمار رودررو ⭐ امتیاز بازیکنان حتی امکان مقایسه بازیکن‌ها و تیم‌ها هم داره. 😮‍💨 لینک دانلود از گوگ

🔥14👍1211

23 Aug 2026, 14:47 UTC≈2,360 views26 reactionsread 25 August 2026

Posted without readable text

🔥11👍105

23 Aug 2026, 14:41 UTC≈2,440 views33 reactionsread 25 August 2026
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🇮🇷🔥 تحلیل لیگ برتر ایران | ۲۳ آگوست 🔵 استقلال 🆚 سپاهان | 19:30 استقلال با ۶ امتیاز و ۵ گل زده بدون گل خورده شروع قدرتمندی داشته؛ سپاهان هم بعد از شکست هفته قبل، نیاز به واکنش دارد. ⚽ آپشن‌ها: 🟢 Under 3.5 Goals 🟡 استقلال DNB 🟡 Over 2.5 Cards 🎯 نتیجه: 1-0 / 1-1 ━━━━━━━━━━━━ 🟣 استقلال خوزستان 🆚 نساجی | 19:30 هر دو تیم بدون امتیاز؛ نساجی در دو هفته فقط یک گل زده و انتظار بازی بسته‌ای دارم. ⚽ آپشن‌ها: 🟢 Under 3.5

14👍11🔥8

23 Aug 2026, 14:17 UTC≈2,500 views18 reactionsread 25 August 2026
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🔸ترکیب لیورپول مقابل نیوکاسل 🔸 هفته ۱ لیگ برتر انگلیس 🕖 ساعت ۱۹:۰۰ ✅سایت های پیشنهادی ما 🪙لینک بدون فیلتر LINEBET 🟢Linebet promo code : GET200 💰لینک بدون فیلتر Melbet 🟢 Melbet promo code : ir1000 ✅گروه همفکری شرط بندی ⏬⏬@Bet_talking ⏬⏬@help_For_Bet

7🔥6👍5

Showing the 12 most recent of 59 posts we hold for @help_For_Bet. 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.

Citation-graph rank

Citation-graph rank — 268,871 of 1,603,376entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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 2 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.

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.

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.

Radio Music | موزیک جدید
@RadiofyMusic · 58,284
Telegram ranks this channel #39 of 58 here — alongside 57 others — read 22 August 2026
پشتیبانی خبر فوری
@khabar_forl · 88
Telegram ranks this channel #73 of 77 here — alongside 76 others — read 13 August 2026

This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. 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 25 August 2026 — this entry's latest reading, not the date you are reading this.

“کانال و گروه همفکری و تحلیل بت شرطبندی | آموزش شرط بندی” (@help_For_Bet), 46,169 subscribers as measured 25 August 2026. Telegram Register, tgregister.com/channel/help_For_Bet.

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.