✅西安忒色大街车评认证 【所属群组】: 西安忒色大街 【时间】:2026-09-12 【老师】:小柚子 【留名】:匿名 【人照打分】:9 【颜值打分】:9 【身材打分】:10 【服务打分】:10 【态度打分】:10 【环境打分】:9 【综合评价】:9.5 【过程】:今天约了柚子老师,真的太惊喜了!这位小尤物服务态度超级积极主动,从开门那一刻起就带着甜甜的笑容迎接,🐻大,摸上去滑溜溜的像丝绸一样,让人瞬间放松下来。她特别会察言观色,懂得怎么调动气氛,轻轻一撩拨就让人欲罢不能。口技方面简直是顶级享受,温柔又深入,节奏把握得特别好,每一次都带来强烈快感。服务不敷衍,她耐心引导我尝试不同玩法,即使平时不太主动的人也被她带得彻底放开,玩得特别尽兴。整个过程她一直保持着热情和温柔,各种姿势切换自然流畅,服务细致入微,让人感觉像被完全宠爱着。结束后还贴心聊天,真的太懂男人了。下次绝对还想再见她,这种嫩妹又日感好的的太难得了! 西安忒色大街…

Channel
狼友车评2.0
@Tesecheping
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
411subscribers
+0 since we began measuring on 13 September 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1002286927588 |
|---|---|
| Type | Channel |
| Username | @Tesecheping |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 13 September 2026 |
| Last confirmed live | 14 September 2026 |
| Measurements held | 2 |
| On Telegram | t.me/Tesecheping |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Sept 2026, 01:22 | 411 | no change |
| 13 Sept 2026, 00:47 | 411 | first reading |
Engagement
20 posts held, back to 7 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 1 page of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 13.9%
- avg views ÷ 411 subscribers
- Avg views / post
- 57.3
- 20 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 20
- of 20 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.
| Window | Rolling 30 days · latest post in window 12 September 2026 |
|---|---|
| Posts held | 20 (7 September 2026 – 12 September 2026) |
| Views total | 1,146 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Sept 2026, 01:22 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
- Links
- 508
Lifetime counters from Telegram’s own channel header, read 13 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Recent posts
✅西安忒色大街车评认证 【所属群组】: 西安忒色大街 【时间】:2026-09-12 【老师】:泡泡 【留名】:夜里买醉 【人照打分】:9 【颜值打分】:9 【身材打分】:10 【服务打分】:10 【态度打分】:10 【环境打分】:9 【综合评价】:9.5 【过程】:到了地点遥控上楼,进门看到妹子年轻好漂亮,人图无差,已经按耐不住了。选了情趣内衣,女娃一会脱光了,仔细看身材,大长腿,身材真好,胸大腰细,屁股也大比例好,皮肤光滑细腻手感好,五官精致。小弟弟立马起立,表示满意。洗澡全自动,洗的时候就开始舔我,刺激的不行,我说赶紧干一炮,受不了,小妹说不急,帮我擦干,先让我床上等。妹子出来开始换情趣内衣,配上黑丝袜,俏皮可爱,胸大性感。灯光调暗,顺势把我推倒,一阵挑逗,口了一会口的时候精致的脸庞,加上颜色的互动实在太顶了。开始服务,正面指滑,胸推,漫游,后面毒龙,钻裆萧,课表都做了一遍。口活太棒了,受不了了提枪进入,女娃比较敏感,一…
✅西安忒色大街车评认证 【所属群组】: 西安忒色大街 【时间】:2026-09-11 【老师】:小柚子 【留名】:库库 【人照打分】:9 【颜值打分】:9 【身材打分】:9 【服务打分】:10 【态度打分】:9 【环境打分】:9 【综合评价】:9.17 【过程】:是个真实护士小姐姐。颜值在线,身体曲线极好,进门开始全程热情,嘘寒问暖,幽暗的灯光下,精致的五官在眼前,身上被缓慢的舔舐游走,耳边的轻语,调情拉满,老师全身肌肤柔软,大长腿光滑细嫩,胸部手感软糯,触感满分,口活反复吞吐,由慢到快再调整,极难招架,随后合体,水润感袭来,侧入开始,臀部丰满包裹极强,换女上小腰疯狂扭动,全自动运行,配合熟练主动,反馈真实,完事后躺着休息,还会抱着聊天,女友感拉满。百分满意,完美选择,值得反复回约。 西安忒色大街:@XianTese
✅西安忒色大街车评认证 【所属群组】: 西安忒色大街 【时间】:2026-09-11 【老师】:浅浅 【留名】:舌头磨没了就上岸【剧终】 【人照打分】:9 【颜值打分】:9 【身材打分】:9 【服务打分】:9 【态度打分】:9 【环境打分】:9 【综合评价】:9 【过程】:颜值:小美女一枚,频道有一张攻速装的照片,基本跟本人一样。 身材:大D,软嫩水波手感,皮肤白嫩,肉感身材,完全不坦,极品身材。 服务:陪洗帮擦,口活T0.5,近来最舒服的一次口活儿,大D胸推+大蟒蛇。 态度:态度良好,性格偏御姐,心思细腻,会照顾客人感受。 环境:小区房,环境整洁卫生,桌上AD钙奶百岁山,一次性浴巾床单漱口水齐备。 过程简述:准点约课到课室,沟通顺畅无罚站,自聊妹子能做到这样不容易。 进门一对大D直接掠夺视觉,打个招呼之后沙发浅聊,忍不住上手揉搓,一手抓不满,手感无敌。转到浴室,浴室灯光亮一些,才发现妹子颜值也不错,比昏暗灯光下看起来年轻五岁…
✅西安忒色大街车评认证 【所属群组】: 西安忒色大街 【时间】:2026-09-11 【老师】:小柚子 【留名】:控球前锋 【人照打分】:9 【颜值打分】:10 【身材打分】:10 【服务打分】:9 【态度打分】:9 【环境打分】:9 【综合评价】:9.33 【过程】:开门见到柚子穿着一身白色透视装,那对大奶若隐若现,实在是太勾引人了,是我喜欢的类型,老师拉着我坐到了沙发上就开始了前戏,很会挑逗,瞬间弟弟就硬起来了,赶紧去洗了澡,出来老师主动帮擦,然后开始勾引我,来到床上,两个人激情缠绵一番,吻的很投入,两人忘情拥吻,舍不得分开。接着从上到下帮舔,技术很好,口的很舒服,不喊停可以一直口,口口到底,口到性致正浓马上开干,各种姿势都很投入,能感到老师也很舒服和享受,后入拉起双手猛干,十分爽快,最后正面体位释放。两人舒服抱在一起,全程两人状态再线,太体贴了 西安忒色大街:@XianTese
✅西安忒色大街车评认证 【所属群组】: 西安忒色大街 【时间】:2026-09-10 【老师】:林夏 【留名】:cx y 【人照打分】:10 【颜值打分】:10 【身材打分】:10 【服务打分】:10 【态度打分】:10 【环境打分】:10 【综合评价】:10 【过程】:小姐姐身材匀称,没有赘肉,🐻也很挺拔,真人五官比照片更深邃,特别漂亮。会聊天不会冷场,服务过程很体贴舒服。推荐pp,高潮迭起,bb夹的很刺激。 西安忒色大街:@XianTese
✅西安忒色大街车评认证 【所属群组】: 西安忒色大街 【时间】:2026-09-10 【老师】:苏烬娆 【留名】:匿名 【人照打分】:9 【颜值打分】:8 【身材打分】:9 【服务打分】:9 【态度打分】:9 【环境打分】:9 【综合评价】:8.83 【过程】:今天突然来了兴致,准备 cj,查看忒色榜上巨乳老师,,约好了时间,到了老师遥控上楼,见到老师,老师是温柔少妇型,身材很可爱,胸巨大,老师递了瓶水给我,坐了两分钟聊了几句随后老师领我进浴室帮我洗澡,整个过程老师很温柔,然后就到床上开始老师的服务,指滑,胸推,过水,漫游,毒龙,老师还问我有什么要求都会满足,我觉得整个服务还有什么好挑剔的,性价比呀,时间超出了一点,老师也不催,还会二刷的。 西安忒色大街:@XianTese
✅西安忒色大街车评认证 【所属群组】: 西安忒色大街 【时间】:2026-09-10 【老师】:小柚子 【留名】:马踏飞燕 【人照打分】:9 【颜值打分】:10 【身材打分】:10 【服务打分】:9 【态度打分】:9 【环境打分】:9 【综合评价】:9.33 【过程】:今天正好有空下午cj了柚子,工作室氛围不错,一进来特别热情,刚坐上沙发ls就送上香吻,对我上下其手。人照九分,又骚又欲。之后的前戏环节也是体贴细致。ls各种姿势都可以驾驭,口活,深喉更是挑不出毛病,穿着黑丝护士装展示活塞运动,叫声也骚得很。做的时候一直夸我硬,两颗大灯形状很好很挺也很软弹。战斗过程狂轰乱炸,抱着高潮过的ls狠狠出货了。目前是本人体验过最全面的ls,强推。 西安忒色大街:@XianTese
✅西安忒色大街车评认证 【所属群组】: 西安忒色大街 【时间】:2026-09-10 【老师】:念一 【留名】:流浪的辣条 【人照打分】:9 【颜值打分】:9 【身材打分】:9 【服务打分】:10 【态度打分】:10 【环境打分】:9 【综合评价】:9.33 【过程】:推荐的一位老师,服务非常好,颜值身材超棒,老师人照9分,两个车灯很亮眼,又大又挺,没一点下垂,身材比例也不错,腿又细又长,老师很温柔,进门就开始聊天,随后脱衣陪浴,洗的比较仔细,后上床开始服务,前期服务流程很细致,AB面非常到位,差点就被口出来了,最后也是在老师各种姿势下喷了。 西安忒色大街:@XianTese
✅西安忒色大街车评认证 【所属群组】: 西安忒色大街 【时间】:2026-09-10 【老师】:小柚子 【留名】:匿名 【人照打分】:9 【颜值打分】:9 【身材打分】:9 【服务打分】:10 【态度打分】:9 【环境打分】:9 【综合评价】:9.17 【过程】:服务太到位,不写点儿都有愧疚感。身材巨好,熊大腿细颜值在线,课室环境好,干净整洁,主打一个会所级体验,进门的热情延绵到沙发上浴室里和床上,充分引导不冷场。然而胸推,69,深喉都只是铺垫,老师一句来我带你体验各种姿势,躺下马上索吻的那一刻体验才真正开始,平实123的我今天也瞬间状态超好,体验完72变姿势一水交货缠绵。二发大战半小时竟然出不来,老师都高潮累了,我心想算了吧我可不想给这么好的老师留下个桩机的印象,多少年没这么超常发挥过了,没想到老师还不答应了,一通卖力的口手出货,简直敬业啊🤙,我的天,全程服务不敷衍,态度也很好。没有不耐烦的表现,非常值得推荐的高老师! 西…
✅西安忒色大街车评认证 【所属群组】: 西安忒色大街 【时间】:2026-09-09 【老师】:安彤 【留名】:匿名 【人照打分】:8 【颜值打分】:8 【身材打分】:8 【服务打分】:9 【态度打分】:9 【环境打分】:8 【综合评价】:8.33 【过程】:人照有差距,但颜值还不错,化了妆,穿着白纱裙黑内衣,少妇感十足,服务态度好,陪洗到位。 随后上床接受老师服务,会所的服务内容,课表上内容都有。做完服务带伞干活,水润b紧,而且还会缩,体验感很好。 老师全程很主动,不会冷场。 西安忒色大街:@XianTese
✅西安忒色大街车评认证 【所属群组】: 西安忒色大街 【时间】:2026-09-08 【老师】:方缘 【留名】:匿名 【人照打分】:9 【颜值打分】:9 【身材打分】:9 【服务打分】:9 【态度打分】:9 【环境打分】:9 【综合评价】:9 【过程】:妹子前凸后翘穿着超短裙,露出微微的屁股很勾人,进门之后拥抱很自然,像女友的感觉,蛇管够而且妹子很讲卫生,清洗干净过程非常的愉悦,然后我们就开始sm课了,妹子已经提前准备好了各种道具,电动玩具,眼罩皮鞭,蜡烛,脖链子应有尽有,过程话不多说自行体验,兄弟们懂得都懂,妹子的sm值得推荐,然后就是我享受了,做的过程中妹子很主动,先帮我口,然后各种服务配合,女上的时候胸型很漂亮半球型,屁股很圆润,一丝赘肉都没有,白嫩光滑,妹子高敏感,耳朵一碰就敏感得哼哼,穿着衣服真就能看来身材太棒了,正常配合姿势,很爽,不一会就解决战斗,又紧水又多。总之该有饱满的地方特别饱满,属于性感型,态度没得说,一…
Showing the 12 most recent of 20 posts we hold for @Tesecheping. 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
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
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 13 September 2026 — this entry's latest reading, not the date you are reading this.
“狼友车评2.0” (@Tesecheping), 411 subscribers as measured 13 September 2026. Telegram Register, tgregister.com/channel/Tesecheping.
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.