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Channel

郑州桃队的战况播报🫡

@taoyo88_99

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

2,303subscribers

+378 since we began measuring on 24 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1003055843583
TypeChannel
Username@taoyo88_99
CreatedBetween 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded24 August 2026
Last confirmed live8 September 2026
Measurements held7
Confirmed unchanged1 time, most recently 8 September 2026
On Telegramt.me/taoyo88_99

Growth

1,9252,3032,11424 August 2026 — 1,925 subscribers24 August 2026 — 1,925 subscribers25 August 2026 — 2,110 subscribers27 August 2026 — 2,276 subscribers30 August 2026 — 2,273 subscribers2 September 2026 — 2,276 subscribers8 September 2026 — 2,303 subscribers24 August 20268 September 2026
7 measurements spanning 15 days, net +378. 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 1,868–2,360 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Sept 2026, 03:182,303+27
2 Sept 2026, 21:162,276+3
30 Aug 2026, 08:532,273-3
27 Aug 2026, 18:242,276+166
25 Aug 2026, 02:352,110+185
24 Aug 2026, 11:451,925no change
24 Aug 2026, 11:301,925first reading

Engagement

19 posts held, back to 17 January 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.95%
avg views ÷ 2,303 subscribers
Avg views / post
114
3 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
4
of 19 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
WindowRolling 30 days · latest post in window 24 August 2026
Posts held19 (17 January 202624 August 2026)
Views total342
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken24 Aug 2026, 11:45 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
39s
Average length
39s

Measured directly from 1 video 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

30 reactions across 12 posts, in 2 distinct kinds. The most used accounts for 96.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2996.7%
👍13.33%

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 12 of the 19 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 30 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 17 January 2026 to 24 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

24 Aug 2026, 11:17 UTC75 viewsread 24 August 2026
Photo

🎰 极品BBW桃子给兄弟们送福利了 📮 参与条件: 🎫 加入-郑州大学 └ 🎟️ 发言数大于 5 条 🎫 加入-河南郑州学生会 └ 🎟️ 发言数大于 5 条 🎫 加入-郑州师范认证车库【修车】 🎫 加入-郑州桃队的战况播报🫡 🎫 加入-郑州精品必吃榜 🎫 加入-郑州修车之太狼日记 🎫 加入-郑州楼凤阁车库 🎁 奖品内容: 💰️ 晴晴单P白嫖 × 1 ⚠️ 抽奖说明: 1:群内发言均可参与抽奖 2:参与抽奖者号炸了,退群,奖项作废! 3.48小时内兑奖,过期作废 4:中奖者转发机器人消息给予管理兑奖! 5:无用户名不予兑奖,无用户名不予兑奖,无用户不予兑奖,奖品累积下次继续抽取 📅 开奖日期:(北京时间) 2026年08月27日 23时16分00秒

25 Jul 2026, 12:33 UTC≈4,440 views5 reactionsread 24 August 2026

『推荐指数:⭐️⭐️⭐️⭐️⭐(五星满分)』 【验证人 】: 蛙贞德食泥鸭 【日 期】: 7 月 25 日 【美女昵称】:#桃桃🍑 【联系方式】:@taotao77_88_99 【所属频道】:公开榜 【地 区】:管城区 【上课花费】:包时 【人照相似】:10分 【服务过程】:好久没写小作文了,去年就刷到桃桃老师了,一眼就相中的微胖大美女,不过当时老师已经不在郑州了,想着元旦约个外出包时,结果临到节日因为工作原因没能约成,只能遗憾错过。昨日突然兴起打开飞机看看消息,意外发现桃桃来郑州了,激动之余赶紧联系桃桃老师想要再续前缘,虽然是第一次找桃桃,但感觉桃桃就是我的理想型,所以直接约的包时,定好时间之后先去取了现金💰。桃桃的教室离我实在是有点远,提前了40 分钟出门,位置很好找是个小区,停车的位置也很方便,到了之后一路指引上楼,进门的时候桃桃就站在门后,观察了一下桃桃,身高不算低有个一米七,身材属于微胖

5

19 Jul 2026, 04:23 UTC≈4,430 views3 reactionsread 24 August 2026
Photo

【时间】:2026-07-19 【老师】:桃桃 【留名】:劳大man 【人照】:9.5 【颜值】:9.1 【身材】:10 【服务】:10 【态度】:10 【环境】:9.9 【综合】:9.75 【过程】:老师很好说话,一进去也特别热情,然后交过水费就开始一起洗澡,老师的🐻是真的大,两个手才握得住,真的摸起来特别爽,吃了几口就开始做。不得不说是我交过老师里最大的,这是我出击以来最爽的一次,口的时候二弟有点不争气差点出来,然后就开始啪啪,换了几个位置就出来了,不得不说非常棒的一次体验,可惜二弟有点不争气插进去不到10分钟就出来了,对了老师的户型也是特别漂亮的那种一线天,毛也特别少舔起来特别有感觉😘,非常建议喜欢微胖类型喜欢大雷的体验下,不得不说真是夯爆了!

3

14 Jul 2026, 08:35 UTC≈4,270 views3 reactionsread 24 August 2026
Photo

【时间】:2026-07-14 【老师】:桃桃 【留名】:周星星 【人照】:9 【颜值】:9 【身材】:10 【服务】:10 【态度】:10 【环境】:10 【综合】:9.67 【过程】:老师刚开就关注老师了,正好中了老师的奖励,择日不如撞日,联系老师准备cj,去的时候已经很晚了,原本老师准备休息啦,但是很贴心给加了个名额,到了楼下老师遥控上门,一进门就被老师迷住了,老师身材巨好,是我喜欢的bbw身材,和老师寒暄了一会 然后去洗澡 出来就看见老师脱掉了衣服,老师的胸真是太大太喜欢啦,应该有d,然后躺上床上老师开始舔胸,胸推,然后开始口下面,老师舔的非常舒服,奈何本狼 没经验太紧张啦二弟一直不给力,但是老师还是很有耐心的,一直在给口,口的是在太舒服了,然后开始传教士123 然后没有忍住就此结束,总体体验不错老师有耐心,喜欢bbw的可以cj哦

3

13 Jul 2026, 07:14 UTC≈4,110 views1 reactionsread 24 August 2026
Forwarded from @zzsf121

郑州师范学院修车群专属报告 【妹子花名】:桃桃 【验证留名】:勾栏听曲 【人照得分】: 8.0 【颜值得分】: 9.0 【身材得分】: 8.0 【服务得分】: 9.0 【态度得分】: 9.0 【环境得分】: 8.0 【综合得分】: 8.5 【验证时间】:2026-07-13 【过程描述】:炎炎烈日,心情悸动,刚好看见老师的课表就果断约了 ,位置很好找,到了导航上楼,全身白皙在空调下稍作休息,还给拿了水很贴心,然后就带去房间洗了个澡,完事上床调情,口的很认真态度没得讲,双手轻轻抚过妹妹的身体皮肤光滑,年轻的肉体果然嫩,我忍不住上下其手,奶之大两手抓不下,慢慢低头沿着妹妹酥胸光滑的身体一路向下摸去,还是个人工白虎,秘密花园在我不断挑逗下流出水来,忍不住了就戴上帽子翻身上马,温热的感觉立马袭来,摸着大奶奶,亲着小嘴,身下压着美女,今日份快乐已达成,在老师的呻吟声音里逐渐射出一股热流,结束了今天的cj

1

13 Jul 2026, 04:20 UTC≈3,870 views2 reactionsread 24 August 2026
Forwarded from @zzsf121

郑州师范学院修车群专属报告 【妹子花名】:桃桃 【验证留名】:匿名 【人照得分】: 9.0 【颜值得分】: 8.6 【身材得分】: 8.0 【服务得分】: 8.8 【态度得分】: 9.0 【环境得分】: 10.0 【综合得分】: 8.9 【验证时间】:2026-07-13 【过程描述】:和老师约好时间,就匆匆赶往教室,见到老师后,感觉有点超过预期,老师皮肤白皙,人照九分像,身材微胖,奶奶非常大,应该有D吧,和老师简单寒暄几句,就褪去衣服准备洗澡了,伴随着老师褪去身上的衣物,一具丰腴白嫩的酮体映入眼帘,和老师来到浴室,老师仔细的给我洗了洗下面,洗完之后,简单擦干净就来到床上,感觉老师还是比较害羞,一到床上话都变少了,老师先是亲胸,亲胸的时候,硕大的乳房正好垂到小弟弟上,老师还可以一边亲胸一边进行乳交,随后老师慢慢下滑,轻轻含住小弟弟,缓慢的上下套弄,眼看时机成熟了,就让老师戴上tt,开始作战了依旧是传教士起手,

2

13 Jul 2026, 04:20 UTC≈3,760 views1 reactionsread 24 August 2026
Forwarded from @zzsf121

郑州师范学院修车群专属报告 【妹子花名】:桃桃 【验证留名】:匿名 【人照得分】: 8.5 【颜值得分】: 8.5 【身材得分】: 8.5 【服务得分】: 8.0 【态度得分】: 10.0 【环境得分】: 10.0 【综合得分】: 8.92 【验证时间】:2026-07-11 【过程描述】:跟老师提前约好时间见面,位置有点远、人照8分、属于bbw类型,跟老师交谈几句交水费,褪去衣物简单清洗,老师帮忙擦拭、上床开始大人的游戏、🐻d一个手握不住软软的很坚挺、口的很舒服无齿感、摸着老师下面淫水一片已经湿漉漉,人工白虎、传教士起手,很紧,插到底的的感觉,老师属于敏感体质,耐桩、换成我最爱的站立式后入,老师直呼到底了,这让我更重振雄风,在老师卖力的呻吟中出货、简单洗洗,陪老师聊会天,穿衣走人

1

Showing the 12 most recent of 19 posts we hold for @taoyo88_99. 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.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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 5 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.

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 8 September 2026 — this entry's latest reading, not the date you are reading this.

“郑州桃队的战况播报🫡” (@taoyo88_99), 2,303 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/taoyo88_99.

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.