2 measurements taken within a single day. 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 24,268–24,316 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
28 Sept 2026, 07:22
24,292
no change
28 Sept 2026, 06:48
24,292
first reading
Engagement
36 posts held, back to 18 September 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 10 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
16.8%
avg views ÷ 24,292 subscribers
Avg views / post
4,080
36 posts measured
Reaction rate
0.398%
reactions ÷ views · ER floor
Posts in window
36
of 36 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 3 October 2026
Posts held
36 (18 September 2026 – 3 October 2026)
Views total
146,810
Reactions total
584
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Oct 2026, 08:08 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
≈1,820
Videos
≈38
Links
≈225
Lifetime counters from Telegram’s own channel header, read 3 October 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.
Reaction mix
584 reactions across 36 posts, in 16 distinct kinds. The most used accounts for 20.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
118
20.2%
🔥
107
18.3%
🥰
79
13.5%
👏
77
13.2%
😁
55
9.42%
🐳
40
6.85%
❤
36
6.16%
💯
14
2.40%
👌
12
2.05%
😈
11
1.88%
🤯
10
1.71%
🌚
7
1.20%
👎
7
1.20%
🥴
7
1.20%
🎉
3
0.514%
🕊
1
0.171%
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 36 of the 36 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 584 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 36 most recent posts we hold, published 18 September 2026 to 3 October 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.
1️⃣0️⃣月0️⃣3️⃣日😍😀锦鲤推荐：
——————————————
德杯🔢🔢RED vs NAVI（NAVI赢）
德杯🔢🔢LGD vs FLY（LGD赢）
德杯🔢🔢SR vs KT（KT赢）
德杯🔢🔢Vitality vs BFX（BFX赢）
德杯🔢🔢GAM vs WE（WE赢）
德杯🔢🔢BRO vs JDG（JDG赢）
CS2🔢🔢Legacy vs PAR（Legacy赢/2-1）
CS2🔢🔢猎鹰 vs TYLOO（猎鹰赢/2-0）
CS2🔢🔢Vitality vs 1W（Vitality赢/2-0）
CS2🔢🔢Spirit vs SN（Spirit赢/2-0）
CS2🔢🔢欧若拉 vs 9Z（欧若拉赢/2-1）
CS2🔢🔢MOUZ vs M80（MOUZ赢/2-1）
CS2🔢🔢FURIA vs BB（FURIA赢/2-1）
CS2🔢🔢G2 vs NAVI（G2赢/2-1）
欧联A🔢🔢克罗地亚 vs 英格兰（英格兰-0.5…
欧联A🔢🔢比利时 vs 土耳其（比利时-0.5/1球）
赛果：3-0 ✅
欧联A🔢🔢法国 vs 意大利（法国-1球）
赛果：1-1 ✖️
欧联B🔢🔢波黑 vs 瑞典（波黑+0/0.5球）
赛果：1-1 ✅
欧联B🔢🔢匈牙利 vs 格鲁吉亚（全场小2.5球）
赛果：1-0 ✅
欧联B🔢🔢乌克兰 vs 北爱尔兰（全场小2.5球）
赛果：0-3 ✖️
欧联B🔢🔢波兰 vs 罗马尼亚（波兰-0.5/1球）
赛果：6-0 ✅
欧联C🔢🔢哈萨克斯坦 vs 摩尔多瓦（哈萨克-0.5球）
赛果：1-2 ✖️
欧联C🔢🔢塞浦路斯 vs 亚美尼亚（亚美尼亚+0/0.5球）
赛果：2-0 ✖️
欧联C🔢🔢拉脱维亚 vs 黑山（黑山-0.5球）
赛果：1-2 ✅
欧联C🔢🔢法罗群岛 vs 斯洛…
1️⃣0️⃣月0️⃣2️⃣日😍😀锦鲤推荐：
——————————————
欧联A🔢🔢比利时 vs 土耳其（比利时-0.5/1球）
欧联A🔢🔢法国 vs 意大利（法国-1球）
欧联B🔢🔢波黑 vs 瑞典（波黑+0/0.5球）
欧联B🔢🔢匈牙利 vs 格鲁吉亚（全场小2.5球）
欧联B🔢🔢乌克兰 vs 北爱尔兰（全场小2.5球）
欧联B🔢🔢波兰 vs 罗马尼亚（波兰-0.5/1球）
欧联C🔢🔢哈萨克斯坦 vs 摩尔多瓦（哈萨克-0.5球）
欧联C🔢🔢塞浦路斯 vs 亚美尼亚（亚美尼亚+0/0.5球）
欧联C🔢🔢拉脱维亚 vs 黑山（黑山-0.5球）
欧联C🔢🔢法罗群岛 vs 斯洛伐克（斯洛伐克-0.5/1球）
西乙🔢🔢埃登斯 vs 皇家奥维耶多（皇家+0/0.5球）
阿职🔢🔢西部铁路 vs 马德林体育（西部铁路-0.5球）
国际🔢🔢韩国 vs 委内瑞拉（韩国-0.5/1球）
国际🔢🔢中国 vs 巴勒斯坦（全场小2.5/3球）
国际🔢…
国际🔢🔢巴拿马 vs 新西兰（巴拿马+0）
赛果：1-1 （走水）
国际🔢🔢日本 vs 厄瓜多尔（全场小2.5/3球）
赛果：0-0 ✅
国际🔢🔢乌兹别克斯坦 vs 叙利亚（乌兹-0.5/1球）
赛果：4-1 ✅
国际🔢🔢马尔代夫 vs 黎巴嫩（全场小3.5/4球）
赛果：0-6 ✖️
欧联A🔢🔢德国 vs 塞尔维亚（塞尔维亚+2/2.5球）
赛果：2-0 ✅
欧联A🔢🔢威尔士 vs 挪威（挪威-1球）
赛果：2-1 ✖️
欧联A🔢🔢希腊 vs 荷兰（荷兰-0.5球）
赛果：2-2 ✖️
欧联A🔢🔢丹麦 vs 葡萄牙（葡萄牙-0.5球）
赛果：2-4 ✅
欧联B🔢🔢以色列 vs 科索沃（科索沃+0/0.5球）
赛果：0-0 ✅
欧联B🔢🔢爱尔兰 vs 奥地利（奥地利-0/0.5球…
1️⃣0️⃣月0️⃣1️⃣日😍😀锦鲤推荐：
——————————————
国际🔢🔢巴拿马 vs 新西兰（巴拿马+0）
国际🔢🔢日本 vs 厄瓜多尔（全场小2.5/3球）
国际🔢🔢乌兹别克斯坦 vs 叙利亚（乌兹-0.5/1球）
国际🔢🔢马尔代夫 vs 黎巴嫩（全场小3.5/4球）
欧联A🔢🔢德国 vs 塞尔维亚（塞尔维亚+2/2.5球）
欧联A🔢🔢威尔士 vs 挪威（挪威-1球）
欧联A🔢🔢希腊 vs 荷兰（荷兰-0.5球）
欧联A🔢🔢丹麦 vs 葡萄牙（葡萄牙-0.5球）
欧联B🔢🔢以色列 vs 科索沃（科索沃+0/0.5球）
欧联B🔢🔢爱尔兰 vs 奥地利（奥地利-0/0.5球）
欧联D🔢🔢阿塞拜疆 vs 列支敦士登（阿塞-1.5球）
欧联D🔢🔢马耳他 vs 直布罗陀（全场小2.5/3球）
挪威杯🔢🔢马德拉 vs 维京（维京-2.5球）
挪威杯🔢🔢贝鲁姆 vs 利勒斯特罗姆（全场小4/4.5球）
非洲杯🔢🔢几内亚 vs 肯尼…
国际🔢🔢斐济 vs 新喀里多尼亚（斐济-0.5/1球）
赛果：2-1 ✅
国际🔢🔢毛里求斯 vs 吉布提（毛里求斯-0.5球）
赛果：0-0 （取消）
国际🔢🔢塞舌尔 vs 斯里兰卡（斯里兰卡-0.5球）
赛果：0-2 ✅
国际🔢🔢立陶宛 vs 安道尔（立陶宛-0.5/1球）
赛果：3-0 ✅
国际🔢🔢阿根廷 vs 玻利维亚（全场小4/4.5球）
赛果：4-0 ✅
挪威杯🔢🔢佛洛 vs 萨普斯堡（全场小3.5/4球）
赛果：0-2 ✅
非洲杯🔢🔢厄立特里亚 vs 南非（南非-1.5球）
赛果：0-5 ✅
美职联🔢🔢纽约红牛 vs 圣路易斯城（圣路-0.5球）
赛果：0-3 ✅
Showing the 12 most recent of 36 posts we hold for @ky88488. 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
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.
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 28 September 2026 — this
entry's latest reading, not the date you are reading this.
“赛事之家｜足球推荐｜电竞分析” (@ky88488), 24,292 subscribers as measured 28 September 2026. Telegram Register, tgregister.com/channel/ky88488.
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.
