【女仆屋点评栏模版】 https://t.me/npdplsz666 【所在位置】: #南山 【女仆艺名】: #雨珂 【联系方式】: @Yuke64 【验证留名】: koou 【验证时间】:8.6 【上课价位】:900 【服务内容】:课表一致 【优点缺点】:三点粉嫩,皮肤白嫩,舌吻略浅 【服务态度】: 9.5分 【颜值身材】: 9.5分 【推荐程度】: 9.5分 【体验细节】:看频道里迷人的身段,让人想入非非。约好时间果断cj,打开门一看,人照差别不大,本人更是美艳,身材很好,属于苗条型,皮肤光滑,小翘臀,硬件没的说。口的很舒服,趴在身上能感受到柔软的双峰,直接就硬了,做❤️很配合,随便换姿势,情绪拉满,B很紧水多,整个过程很舒服,像小情人般,总的来说就是体验度不错 【提交点评】 @yasaxi88 提交点评,附带约课记录或付款截图 ,点评发现造假第一时间删除,并永久性拉黑! 温馨提示: 点评仅供参考,自行辨别。

Channel
女仆点评栏
@npdplsz666
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
2,539subscribers
+125 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1003892713002 |
|---|---|
| Type | Channel |
| Username | @npdplsz666 |
| Created | Between 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 16 August 2026 |
| On Telegram | t.me/npdplsz666 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Aug 2026, 20:34 | 2,539 | +55 |
| 13 Aug 2026, 04:36 | 2,484 | +24 |
| 10 Aug 2026, 00:29 | 2,460 | +39 |
| 7 Aug 2026, 10:43 | 2,421 | +7 |
| 6 Aug 2026, 20:04 | 2,414 | first reading |
Engagement
22 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
- 14.6%
- avg views ÷ 2,539 subscribers
- Avg views / post
- 372
- 22 posts measured
- Reaction rate
- 0.217%
- reactions ÷ views · ER floor
- Posts in window
- 22
- of 22 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 7 of 22 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 | 22 (30 July 2026 – 7 August 2026) |
| Views total | 8,183 |
| Reactions total | 6 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 16:34 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
6 reactions across 5 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 6 | 100.0% |
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 7 of the 22 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 6reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 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
【女仆屋点评栏模版】 https://t.me/npdplsz666 【所在位置】: #宝安 【女仆艺名】: #乖乖 【联系方式】: @guaiguaibby 【验证留名】: #yesterday 【验证时间】:2026.8.6 【上课价位】:700p 【服务内容】:课表有的都有还有额外内容 【优点缺点】:活泼可爱,床上骚话特别多 【服务态度】: 10分 【颜值身材】: 9分 【推荐程度】: 9分 【体验细节】:洗澡会很细心,床上会主动要求玩弄自己,玩得很开,属于耐看型脸蛋。 【提交点评】 @yasaxi88 提交点评,附带约课记录或付款截图 ,点评发现造假第一时间删除,并永久性拉黑! 温馨提示: 点评仅供参考,自行辨别。
【女仆屋点评栏模版】 https://t.me/npdplsz666 【所在位置】: #南山 【女仆艺名】: #琳琳 【联系方式】: @gogoghf147 【验证留名】: #🐟 【验证时间】:8月5日 【上课价位】:700P 【服务内容】:xcz,kiss 【优点缺点】: 嫩 【服务态度】: 9分 【颜值身材】: 8.2分 【推荐程度】: 8.5分 【体验细节】:小姐姐应该是自聊老师,佛系开课,但是约好时间,会守时,小姐姐本来打算晚上和闺蜜去玩的。小姐姐人照8分,身材偏瘦,正常肤色。性格开朗,爱笑。服务方面嫩妹三件套吧,陪浴帮忙前后洗白白。爱爱很紧,吊感很好,妹子女上还挺舒服的,最后传教士出水,一起沐浴,最后拥抱吻别。 【提交点评】 @yasaxi88 提交点评,附带约课记录或付款截图 ,点评发现造假第一时间删除,并永久性拉黑! 温馨提示: 点评仅供参考,自行辨别。
【女仆屋点评栏模版】 https://t.me/npdplsz666 【所在位置】: #上门 【女仆艺名】: #宝安丹丹 【联系方式】: @dandaner 【验证留名】: #派大星 【验证时间】:8月6日 【上课价位】:700半价 【服务内容】:课表都有 【优点缺点】:优点:自聊,照片人照合一,性格好,课表一样不少,很有耐心愿意听指挥,服务+嫩妹型,非常满意 缺点:老师住宿舍,只接受上门,但对我来说也是优点 【服务态度】: 9.5分 【颜值身材】: 9分 【推荐程度】: 9.5分 【体验细节】:运气不错抽中频道新来老师的券,是兼职上门的老师,跟老师约了时间,老师打车过来非常守时,不用站街等的感觉非常好!第一眼看到老师是气质型打扮,人照合一非常满意!老师不抽烟,嘴里无烟味,聊了一下,老师性格开朗爱笑,服务课表都有,陪洗,kiss,69,特别有女友感,一点都不装,适合喜欢嫩妹+女友感的朋友,跟老师缠绵完一起洗洗聊聊天,送别老师,剩…
【女仆屋点评栏模版】 https://t.me/npdplsz666 【所在位置】: #福田车公庙 【女仆艺名】: #婷婷 【联系方式】: @zxcm6693 【验证留名】: #星爷 【验证时间】:8月6日 【上课价位】:700p 【服务内容】:舌吻,陪洗,应有尽有,服务很好 【优点缺点】:缺点,就是太善良了 【服务态度】: 10分 【颜值身材】: 9.5分 【推荐程度】: 10分 【体验细节】:昨天看到老师一直在群里面吵,有人说老师长的又胖又不好看,人造不一致,今天就想着有空过来看一下,是不是真的,如果是真的,我就写个差评,然后跟老师约好,按时到达老师的所在位置,进出方便安全 到了门口之后,老师给我开门 看了一下老师本人挺漂亮的,也挺白的,很温柔,态度很好 说话的声音特别好听,可爱 然后我就在想,怎么会有人 说老师长的又胖又矮又丑嘞 然后我就问了一下老师 然后老师就跟我说那个客人等的有点久,生气了,客人脾气也很大,然后我就没多…
【女仆屋点评栏模版】 https://t.me/npdplsz666 【所在位置】: #南山 【女仆艺名】: #林雪宁 【联系方式】: @xuening_1 【验证留名】: no name 【验证时间】:8.5 【上课价位】:10(券) 【服务内容】:课表都有 【优点缺点】:微胖,胸大,不事比 【服务态度】: 7.5分 【颜值身材】: 7.5分 【推荐程度】: 7.5分 【体验细节】:进门老师会拿水喝,然后交水费一起去洗澡,地方比较小,两个人洗有点挤了。洗完澡上床亲🐻,老师口活不错,不会慢悠悠的,口一会带上tt女上起手,老师胸挺大,属于bbw,姿势很配合,换几个姿势后出水结束。 【提交点评】 @yasaxi88 提交点评,附带约课记录或付款截图 ,点评发现造假第一时间删除,并永久性拉黑! 温馨提示: 点评仅供参考,自行辨别。
【女仆屋点评栏模版】 https://t.me/npdplsz666 【所在位置】: #坂田 【女仆艺名】: #柚子 【联系方式】: @Chenlin921 【验证留名】: #ydc 【验证时间】:8/6 【上课价位】:500(半价券) 【服务内容】: 【优点缺点】:熊大 【服务态度】: 8 【颜值身材】: 8 【推荐程度】: 8 【体验细节】:群里中了半价券,看着离自己上班的地方不远,果断跟老师约了时间,中间老师说上个客户迟到了,延迟了一个小时,我看也不远,果断同意,到了出发的时间,本来怀着踩雷的心态去出击的,到了地点以后,看着老师还行,穿着护士装,带着护士帽,闲聊了一会,付了水费以后,然后去冲一下,老师还问要不要帮洗,我看到洗漱间有点小,本来想拒绝的,奈何老师已经脱了进来了,那就不拒绝了,先简单的冲洗以后,来了一下水中潇,然后出来简单擦干,进入今日主题,先胸推,后吹箫,女上,奈何熊有点大,边吸边揉,老师受不了了,换我在上面,…
【女仆屋点评栏模版】 https://t.me/npdplsz666 【所在位置】: #福田车公庙 【女仆艺名】: #沐惋 【联系方式】: @fei02Z 【验证留名】: dido 【验证时间】:8.6 【上课价位】:P(半价卷) 【服务内容】:课表都有 【优点缺点】:身材高挑大长腿,服务超棒 【服务态度】: 10分 【颜值身材】: 9分 【推荐程度】: 10分 【体验细节】:昨天中了群里的半价。约好今天头课出发,老师的科室是公寓,楼下用二维码上楼,比较安全。一进门就看到老师穿着热裤,一双大长腿非常性感,人照基本一致。交了水费,闲聊两句去洗澡,插一句,老师的陪浴环节应该是我体验过最好的了,洗的非常细致,还会抹上沐浴露抱着我蹭,最后还有水中萧,到这已经硬的不行了。快速擦干来到床上,老师让我挑选了一套情趣黑丝换上,非常哇塞。随后来开始服务,这个环节的服务依旧很棒,舔咪咪,舔耳朵(几乎是用嘴把我耳朵包进去舔),再来到下面,老师口活超棒…
【女仆屋点评栏模版】 https://t.me/npdplsz666 【所在位置】: #南山 【女仆艺名】: #雨珂 【联系方式】: @Yuke64 【验证留名】: jjh 【验证时间】:8.5 【上课价位】:900 【服务内容】:课表一致 【优点缺点】:三点粉嫩,皮肤白嫩,舌吻略浅 【服务态度】: 9.5分 【颜值身材】: 9.5分 【推荐程度】: 9.5分 【体验细节】:看了半天,看到一个新来的老师然后就出击了,雨珂老师情趣价值很满,服务态度端正,不催不急各种姿势配合非常的棒,特别好、很值得推荐,身材也很好,皮肤挺白,胸不大不小还可以,屁股很翘,课室很不错没有门禁比较好找,很有女友感,口活也比较舒服,人照9分对版,个人觉得比照片漂亮,是值得推荐优秀老师! 【提交点评】 @yasaxi88 提交点评,附带约课记录或付款截图 ,点评发现造假第一时间删除,并永久性拉黑! 温馨提示: 点评仅供参考,自行辨别。
❤1
【女仆屋点评栏模版】 https://t.me/npdplsz666 【所在位置】: #福田 #车公庙 【女仆艺名】: #婷婷 【联系方式】: @zxcm6693 【验证留名】: #饿狼 @ytbjegd6 【验证时间】:2026.08.05 【上课价位】:700-200工兵 【服务内容】:洗吹做,蛇,胸推,舌滑 【优点缺点】:人照9分,很嫩,很漂亮,声音甜美,叫声自然好听,身高165左右,身材匀称不胖不瘦,胸有C以上,皮肤黄白皮,三点棕色,舌吻很有感觉,嘴巴软,舌头也软,小学景致润滑,屌感很好,态度好,服务也不错 【服务态度】: 9.5分 【颜值身材】: 9分 【推荐程度】: 9.5分 【体验细节】:下午睡醒收到群主信息,说是新来的妹妹被人黑了,需要去工兵一下优惠¥200,我看了一下,是我喜欢的类型,便跟老师约好时间,提前到达老师刚好空着,直接上楼,本想着如果真如那哥们所说那样,那肯定转身就走,但是进门看到妹子,我却一脸惊喜,…
❤1
【女仆屋点评栏模版】 https://t.me/npdplsz666 【所在位置】: #南山 【女仆艺名】: #柚柚 【联系方式】: @nsyouyou 【验证留名】: #鱼 【验证时间】:8.5 【上课价位】:1200 【服务内容】:课表一致 【优点缺点】:三点粉嫩,皮肤白嫩,舌吻略浅 【服务态度】: 9.5分 【颜值身材】: 9.5分 【推荐程度】: 9.5分 【体验细节】:看到妹妹开课,约好个时间,准时到达,楼下安全出入没门禁没保安,遥控指挥上楼推门进去,妹妹一身jk可爱性感制服,环境温馨家的感觉,氛围女友家感觉,干净整洁,妹妹已经提前开好空调,大热天坐上沙发上,主动递水递鞋子,唠叨一会儿交完水费抱抱去洗澡,和妹妹沐浴,妹妹粉嫩的奶头,胸B左右,简单冲洗洗漱躺上床,等妹妹换好制服丝袜,主动调情亲吻,让妹妹躺下,先索吻抚摸,再舔奶头摸小穴出水,小穴粉粉嫩嫩,硬后让妹妹口,无齿感,套套带上传教士,吊感紧致,皮肤白嫩,小胸B无科…
❤1
【女仆屋点评栏模版】 https://t.me/npdplsz666 【所在位置】: #宝安西乡 【女仆艺名】: #宝安李建国 【联系方式】: @lijianguo1123 【验证留名】: #派大星 【验证时间】:8月2日 【上课价位】:800半价 【服务内容】:课表都有 【优点缺点】:优点:比课表要年轻,很愿意聊天,一度以为没满18,非常嫩妹 缺点:妹子刚做没多久,比较青涩,舒服颜值嫩妹型,不适合喜欢深度服务的 【服务态度】: 8分 【颜值身材】: 9.5分 【推荐程度】: 9分 【体验细节】:看到榜单上新来的妹子,运气也是拉满,抽中半价p体验,于是狠狠跟老师约了下午。老师刚到深圳是住酒店,不用登记安全拉满!推开门老师在化妆,第一眼看老师比照片年轻5岁不止,喜欢嫩妹的我非常激动,老师见面就在笑,第一时间给拿拖鞋换,看到老师桌上有烟,果断跟老师来一根,边抽边聊,抽完老师领着去洗澡,全程陪洗,老师很爱干净,也会把自己洗很干净,小老…
Showing the 12 most recent of 22 posts we hold for @npdplsz666. 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 — 26,235 of 1,481,306entries 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 33 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
@lotterynav · 163,03124 posts女仆精选公开榜
@npjxgkb · 5,58120 posts福田橙橙
@chengchebg231 · 3642 posts坂田 柚子
@d4JqbooiaN9jOTZ · 7332 posts瑶瑶兼职 💋后花园💋
@fffqq12341 · 2,1302 posts深圳幼幼酱💕后宫(🉑🐍)
@hhhjj1234 · 4,9862 posts南山简悦 & 私享半裸抓龙筋高端SPA
@Joy52088 · 8,0282 posts听风晓月SPA馆
@tingfengSPA · 1,7102 posts小宝私人小窝
@tutugrpd · 2722 posts依依小作文频道
@yiyi5206 · 162 posts小语课表频道
@Zixiaxianz · 2,8872 posts小虎牙朋友圈
@dd123123444 · 5571 post深圳粥粥(可爱版)
@dddyy3333 · 2091 post小花花 的个人频道
@gooup861 · 8351 post琳琳的,后花园💋💋
@gzgzv666 · 8151 post哈基米的小屋吖
@hajimi520 · 1,2041 post🐯窝
@huhuxiaowo111 · 1761 post龙岗🍑🧑🎓实习生桃子🍑兼职
@lgsxs2 · 3781 post小歪的家🏠
@lh2007ll1 · 4861 post南山 思欲 疗愈半裸抓龙筋SPA
@Lxzlj52000 · 5,2051 post婷婷私密后花园💋
@mzn993 · 5621 post深圳南山小花老师疗愈抓龙筋城堡
@nsxh1xh520 · 5,4311 post小妍的小花园
@xiaoyifacaio · 2521 post洋洋的动态
@yang98709 · 2,2891 post
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 16 August 2026 — this entry's latest reading, not the date you are reading this.
“女仆点评栏” (@npdplsz666), 2,539 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/npdplsz666.
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.