今晚繼續屠爆狗會🤫 足球內幕數據分析✅⚽️ 施拿祖基 vs 格尼斯坦💎 ➡️ 球數 [2.5] 大 1.54🤑 信心指數:⭐️⭐️⭐⭐⭐️

Channel
Sports Analytics Pro
@winwin3838
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
2,175subscribers
-86 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1001569999128 |
|---|---|
| Type | Channel |
| Username | @winwin3838 |
| Created | Between 1 August 2021 and 31 January 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/winwin3838 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 12:26 | 2,175 | -59 |
| 10 Aug 2026, 15:51 | 2,234 | -24 |
| 7 Aug 2026, 17:21 | 2,258 | -3 |
| 7 Aug 2026, 01:16 | 2,261 | first reading |
Engagement
24 posts held, back to 30 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 2 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 5.66%
- avg views ÷ 2,175 subscribers
- Avg views / post
- 123
- 24 posts measured
- Reaction rate
- 5.58%
- reactions ÷ views · ER floor
- Posts in window
- 24
- of 24 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 14 of 24 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 24 (30 July 2026 – 7 August 2026) |
| Views total | 2,955 |
| Reactions total | 96 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 16:44 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
- Video runtime
- 21s
- Average length
- 4s
Measured directly from 6 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
96 reactions across 14 posts, in 6 distinct kinds. The most used accounts for 42.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 41 | 42.7% | |
| 👍 | 30 | 31.3% | |
| 🔥 | 18 | 18.8% | |
| 🍾 | 3 | 3.13% | |
| 🎉 | 3 | 3.13% | |
| 😁 | 1 | 1.04% |
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 14 of the 24 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 96reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 24 most recent posts we hold, published 30 July 2026 to 7 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
芬蘭超級聯賽:施拿祖基 vs 格尼斯坦 球數 [2.5] 大 1.54 / 小 2.30 Form 施拿祖基近期主場狀態回升,最近主場3-0大勝HJK,但整體賽季仍處中下游(約第10,18場4勝5和9負,進22失27)。格尼斯坦較穩定(約第5,8勝4和6負,進27失22),近期僅1-0小負榜首KuPS。雙方近期總進球偏低至中等,施拿祖基主場進球效率改善。 Attack Potential 施拿祖基場均約1.2球,主場近期提升;格尼斯坦場均約1.5球,射門與創造力較均衡。H2H歷史平均總球數偏高(約3.6),雙方均有定位球與反擊能力,但創造性球員發揮波動。 Defence Potential 施拿祖基場均失約1.5球,防守成功率一般;格尼斯坦場均失約1.2球,相對穩固。雙方近期皆有零封與失球交替,主場防守略優於作客。 Position Chance 施拿祖基主場控球與轉換較積極,跑位靈活;格尼斯坦中場組織較緊湊。攻守轉換中,主隊位…
🔤🔤全新平台🔤🔤 🔤🔤🔤🔤🔤🅰️🔤🔤 ➡️想買波快啲過嚟我哋平台💵 ➡️安全出入金 全港最強💱 ➡️百家樂廿一點老虎機🔄 ➡️賠率高 仲有反水優惠🆓 ➡️ 點擊你的專屬平台😃😃😃 ✈️客服: @hkjc9988
➡️各位手足登入收錢😃
❤5🔥2
1️⃣🔤只需5️⃣0️⃣🔤(400hkd) 即可領取足球全數據分析😃 2️⃣🔤Betstage平台加入 (充值1️⃣0️⃣0️⃣0️⃣HKD )拎⚡️ 各大聯賽足球全方位🅰️🔠單⚡️ 加內群永久會員會籍🏋️♂️ ➡️點擊你的專屬平台🔥
今晚再嚟過 有冇手足同我食住個勢 屠爆狗會👊👊👊 足球內幕數據分析✅⚽️ 積基朗尼亞 vs 格拉斯哥流浪💎 ➡️ 主 [0] 2.00 🤑 信心指數:⭐️⭐️⭐⭐⭐️
❤4🔥2
歐霸盃:積基朗尼亞 vs 格拉斯哥流浪 主 [0] 2.00 客 [0] 1.77 Form 積基朗尼亞本季Ekstraklasa開局2勝(1-0 Korona、1-2 Motor),近期主場穩健,上季歐協聯有經驗。格拉斯哥流浪聯賽首戰1-1 Dundee United,季末連敗後狀態回升但仍有防守漏洞(近賽失球偏多)。主隊近期進球效率更高。 Attack Potential 積基朗尼亞場均約1.5球,Prelec與Imaz創造力佳,射門數中上。流浪進攻火力較強(上季場均接近2球),Shankland、Gassama等有威脅,但客場效率下降。雙方都有破門能力。 Defence Potential 積基朗尼亞近期失球少(開局僅1球),主場防守成功率高。流浪防守不穩,近賽多次失球,客場尤甚。主隊在防守端略佔優。 Position Chance 積基朗尼亞主場佈局緊湊,攻守轉換快;流浪習慣控球推進,但客場跑位靈活性受影響。主隊在轉換中…
❤3👍3🔥2
有冇手足一齊跟🏋️♂️ 足球內幕數據分析✅⚽️ 阿侯斯 vs 沙巴FC💎 ➡️ 客 [+0.5/+1] 1.98 🤑 信心指數:⭐️⭐️⭐⭐
👍4❤2🔥2
阿侯斯 vs 沙巴FC 主 [-0.5/-1] 1.82 | 客 [+0.5/+1] 1.98 1. Form 阿侯斯近期CL資格賽表現起伏:主場先1-4負Lech後4-1翻盤晉級,聯賽則有平局。整體近況進攻有亮點但防守不穩,場均失球偏高。沙巴則完美,資格賽4連勝(對TNS、KuPS合計7-1),3場零封,狀態火熱。 2. Attack Potential 阿侯斯場均約1.9球,Arnstad狀態佳(多球/點球)。沙巴場均約1.75-2.27球,Simic、Mickels創造力強,資格賽場場有進球。雙方均有得分能力。 3. Defence Potential 阿侯斯本季尚無零封,近賽常失球(場均約1-2)。沙巴防守出色,資格賽僅失1球,門將Pokatilov穩固。客隊防線明顯更可靠。 4. Position Chance 阿侯斯主場(中立場地)佈局積極,攻守轉換靠中場推進。沙巴4-2-3-1彈性好,反擊與定位球威脅大,位置靈活度…
👍4❤2🔥2😁1
🔤🔤全新平台🔤🔤 🔤🔤🔤🔤🔤🅰️🔤🔤 ➡️想買波快啲過嚟我哋平台💵 ➡️安全出入金 全港最強💱 ➡️百家樂廿一點老虎機🔄 ➡️賠率高 仲有反水優惠🆓 ➡️ 點擊你的專屬平台😃😃😃 ✈️客服: @hkjc9988
Sticker, posted without a caption
➡️各位手足登入收錢🏋️♂️ 今晚加餸加隻龍蝦🦞先⚽️
❤3🍾3🎉3
Showing the 12 most recent of 24 posts we hold for @winwin3838. 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 — 1,123,473 of 1,176,251entries 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.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“Sports Analytics Pro” (@winwin3838), 2,175 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/winwin3838.
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.