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@pcleague: statistics and cleanliness index

Профессиональная Киберспортивная Лига | ПКЛ CS2

⚡️ ПКЛ — киберспорт начинается здесь! Уникальный турнирный оператор CS2. Стань следующим чемпионом! 💻 Регистрируй команду и следи за топом: pcleague.ru 📺 Смотри лучшие матчи: twitch.tv/pcl_cast 💼 По вопросам сотрудничества: @mostianskyclub

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Grade A+ metrics look normal cleanliness index
data from 2026-10-21
Subscribers
1,378
Median views
746
ERR
54.1%
Posts sampled
40
Niche Video Games
Post language Russian
Channel age 2 years

Data from 2026-10-21 — 16 days old.

Assessment summary

The channel of the PCL esports league for CS2: announcements of team applications, playoff brackets, match days, and partner posts — the feed is entirely about its own tournament, not about CS2 as a whole.

A larger share of subscribers sees a post than in most similar channels in the catalog, and advertising posts get better readership than regular ones — 1094 views versus 727. Over the month, the base grew from 1318 to 1378 subscribers, but it is small, so the absolute reach of a single post is hundreds of people, and advertising here reaches an audience that already follows the league.

About the channel

The channel of the PCL professional esports league for CS2: here they run their own tournament — they publish team applications for the new season, playoff brackets, match announcements, and league news. They write in Russian; the channel is 2 years 8 months old; almost every post is a card with a team logo or a screenshot of the website.

In the catalog, nearby are @weclearoff — about the same size, but a larger share of subscribers sees a post there; @cs_x_22 — larger, but the share of readers is noticeably lower; @kibersportnovosty — larger and with a higher reach share.

What it publishes:

  • Team applications: a card with a logo and roster — who will play in season 11.
  • Tournament bracket and match days: playoff announcements with a schedule and a Twitch link.
  • League news: website update, player verification, change of tournament format.
  • Partners: posts from gaming services with promo codes for the league's audience.

Posts come out mainly during the day and in the evening Moscow time, more often on weekdays; there are no forwards from other channels. By subscriber count, the channel is in the middle of the “Video Games” niche. The feed is slow — about one post every two days, with long announcements and almost no advertising.

By subscribers, it ranks #72 of 91 channels in the Video Games niche of the catalog.

What grade A+ means

The metrics agree with each other: views and reactions are distributed as usual, and almost no signals lower the index.

Compared with similar channels

Compared with 20 Video Games catalog channels whose metrics look normal. They are a similar size: 634 to 3,883 subscribers.

ERR (reach) higher than 16 of 20
@pcleague 54.1%
similar channels median 28.8%
Reactions per 100 views higher than 16 of 20
@pcleague 1.7
similar channels median 0.98

This is not a niche norm: only catalog channels are included. A high ERR is not always a plus: if the other metrics do not support it, the index goes down.

Dynamics and anomalies

Scroll horizontally to see the full charts.

Views by post

The latest 40 posts with views, from Jul 29 to Oct 19. The dashed line is the median (746).

07131.4KJul 29: 768 viewsJul 29: 580 viewsJul 31: 471 viewsJul 31: 481 viewsJul 31: 612 viewsJul 31: 742 viewsAug 1: 695 viewsAug 1: 788 viewsAug 2: 699 viewsAug 2: 751 viewsAug 2: 518 viewsAug 4: 487 viewsAug 4: 504 viewsAug 5: 550 viewsAug 6: 766 viewsAug 7: 721 viewsAug 10: 666 viewsAug 10: 796 viewsAug 12: 727 viewsAug 12: 1,037 viewsAug 13: 946 viewsAug 16: 1,061 viewsAug 16: 1,011 viewsAug 16: 1,165 viewsAug 18: 680 viewsAug 19: 1,094 viewsAug 21: 1,107 viewsAug 23: 1,081 viewsAug 24: 1,292 viewsAug 28: 1,427 viewsSep 6: 792 viewsSep 10: 986 viewsSep 29: 976 viewsOct 4: 776 viewsOct 8: 1,067 viewsOct 12: 714 viewsOct 18: 699 viewsOct 18: 356 viewsOct 19: 392 viewsOct 19: 280 views Jul 29Oct 19
  • post views
  • median 746

Maximum: 1,427 views. Data as of Oct 21.

What could not be calculated

View build-up not assessed: there were no posts newer than one day.

Cleanliness-index history

2 checks for this channel.

050100Sep 9: index 93, grade A+Sep 9Oct 21: index 92, grade A+Oct 21

Advertising outlook

Advertising placement: reasonable.

About 373–745 people will see your post in the first 48 hours.

Reach of advertising posts

Advertising posts have a median of 1,094 views versus 727 for regular posts — 50% higher.

Based on 3 advertising and 37 regular posts older than two days.

Without an ad label: 1 post.

Buy advertising

Telegram ads are sold on these marketplaces — they have channel catalogs, prices, and checkout.

We don't sell ads. This channel may not be listed there.

Where to buy advertising

Affiliate links: we get a commission. It never affects the channel's score.

Questions about @pcleague

Is the channel clean? What does the purity index show?

The purity index is 92 out of 100, grade A+, level “metrics are normal”. No signals that would lower the index were found during the check.

What is the reach of @pcleague posts?

The median is 746 views with 1378 subscribers, meaning a post is seen by about 54% of the base. This is higher than in most similar channels in the catalog.

Can advertising be placed in this channel?

Placement is marked as justified. Advertising posts here collect a median of 1094 views versus 727 for regular ones, but the base is small — 1378 subscribers.

How the assessment was produced

Data source
Public Telegram data: posts, views, reactions, and channel metadata.
Date or snapshot
2026-10-21
Sample
The latest 40 public posts available at check time.
Calculation method
TG Inspector calculates metrics from the saved snapshot and combines independent signals into a deterministic 0–100 cleanliness index.
Factual result
The @pcleague assessment dated 2026-10-21 uses 40 recent public posts. At that snapshot the channel had 1,378 subscribers, median post views were 746, ERR was 54.1%, and the cleanliness index was 92/100.
Limitations
This is a probabilistic assessment based on public data: it describes metrics, not the owner's actions, and is not a real-time measurement.

Full methodology and interpretation rules

This automated assessment is probabilistic: it describes the channel's public metrics, not its owner's actions. The index and grade are calculated from public data and are not changed on request. Channel owners can request removal of the page — t.me/obsessed_with_ai.