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@TaRnUm_Ml: statistics and cleanliness index

TaRnUm

Начал вести стримы: 30.03.2026 Мой Telegram: @TaRnUm_2 Twitch: https://twitch.tv/tarnum_mlbb

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Grade A+ metrics look normal cleanliness index
data from 2026-10-19
Subscribers
261
Median views
102
ERR
39.1%
Posts sampled
40
Niche Video Games
Post language Russian
Channel age 8 months

Data from 2026-10-19 — 18 days old.

Assessment summary

Personal channel of a Mobile Legends streamer: Twitch stream announcements with links to YouTube and TikTok, match screenshots, build breakdowns, and sign-ups for custom games — no reposts from others in the feed, almost everything is original.

A smaller share of subscribers sees a post than in most similar channels in the catalog: ERR 39.1% vs. the median 57.3%, and over the month the median views fell from 129 to 102 with almost the same number of subscribers. At the same time, 6.49% of views turn into reactions — higher than in most channels in the group: the core is small but responds actively.

About the channel

Personal channel of a Mobile Legends streamer: here they announce Twitch streams, post clips and shorts, match screenshots, and build breakdowns. It has been run in Russian for about seven months, almost everything is original material, there are no forwards from other channels.

In the catalog, nearby are @roonya_m with 58 thousand subscribers and ERR 34.1% — this channel is hundreds of times smaller, but a slightly larger share of its subscribers sees a post. @hal9va_ot_noob4ana has ERR 10.3%, meaning the share of readers there is noticeably lower, while @weclearoff has ERR 107.1% — more than here.

What it publishes:

  • Stream announcements: an image with a game hero and a Twitch link, sometimes two or three times a day.
  • Clips and shorts: after streams — links to fresh videos on TikTok and YouTube.
  • Match breakdowns: screenshots of game results, hero builds, and analysis of teammates' mistakes.
  • Custom games and roulette: sign-ups for 5v5 games with a prize pool and a paid roulette with prizes.

Posts come out mainly during the day and on weekdays, about three per day; by subscriber count the channel is in the bottom third of the "Video Games" niche. Expect short notes with emojis and links, without long texts or third-party ads.

By subscribers, it ranks #83 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 9 Video Games catalog channels whose metrics look normal. They are a similar size: 88 to 665 subscribers.

ERR (reach) lower than 6 of 9
@TaRnUm_Ml 39.1%
similar channels median 51.6%
Reactions per 100 views higher than 7 of 9
@TaRnUm_Ml 6.49
similar channels median 2.67

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 Oct 5 to Oct 19. The dashed line is the median (102).

069138Oct 5: 138 viewsOct 6: 122 viewsOct 6: 119 viewsOct 6: 110 viewsOct 6: 137 viewsOct 7: 127 viewsOct 8: 104 viewsOct 8: 106 viewsOct 8: 116 viewsOct 9: 111 viewsOct 9: 91 viewsOct 10: 92 viewsOct 10: 86 viewsOct 10: 112 viewsOct 11: 83 viewsOct 11: 112 viewsOct 11: 103 viewsOct 11: 105 viewsOct 11: 138 viewsOct 12: 125 viewsOct 12: 112 viewsOct 13: 103 viewsOct 13: 93 viewsOct 13: 101 viewsOct 14: 90 viewsOct 14: 117 viewsOct 14: 103 viewsOct 15: 80 viewsOct 15: 89 viewsOct 15: 77 viewsOct 16: 71 viewsOct 16: 61 viewsOct 16: 69 viewsOct 16: 64 viewsOct 17: 57 viewsOct 17: 59 viewsOct 17: 69 viewsOct 18: 48 viewsOct 18: 48 viewsOct 19: 28 views Oct 5Oct 19
  • post views
  • 1 post newer than one day and still gaining views
  • median 102

Maximum: 138 views. Data as of Oct 19.

No deviations in views. Views are only part of the metrics, so look at the whole index.

Cleanliness-index history

2 checks for this channel.

050100Sep 20: index 95, grade A+Sep 20Oct 19: index 97, grade A+Oct 19

Advertising outlook

Advertising placement: reasonable.

Not enough posts for a forecast.

Reach of advertising posts

Too few advertising posts to compare: 1.

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 @TaRnUm_Ml

What deviations did the check find in @TaRnUm_Ml?

The purity index is 97 out of 100, grade A+, level "metrics within normal range": no signals lowering the index were found. There are almost no deleted messages in the last 50 window.

What share of subscribers sees a post in this channel?

ERR is about 39.1% — a smaller share of subscribers sees a post than in most similar channels in the catalog. With 261 subscribers, the median views are 102.

Is it worth advertising here?

Placement is marked as justified. There are few ad posts in the sample — 2%, so separate reach for ad posts was not calculated.

How the assessment was produced

Data source
Public Telegram data: posts, views, reactions, and channel metadata.
Date or snapshot
2026-10-19
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 @TaRnUm_Ml assessment dated 2026-10-19 uses 40 recent public posts. At that snapshot the channel had 261 subscribers, median post views were 102, ERR was 39.1%, and the cleanliness index was 97/100.
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.