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Jonathan Jablonowski engagement report

@EliGE - 291K followers on X

Measured over 1 original post from a 30-day window, last computed on September 20, 2026.

Engagement

Per follower
0.329%
of 291K followers
Per impression
0.326%
294K views on a typical post
Reach
101.1%
of its followers see a post
Typical post
958
interactions (median)
Saved
0.068%
199 bookmarks on a typical post
Posting rate
0.07/day
active 7% of days
Peak time
23:00 UTC
Monday

Early reading. We have captured 1 original post for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 958 interactions against 291K followers, an engagement rate of 0.329%. Posts are seen about 294K times each, and 0.326% of those impressions turn into an interaction. That is about 101.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.07 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 23:00 UTC, and Monday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 7.6K interactions, about 7.9x its own typical post. Only 1 original post have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 1 original post from a 30-day window, last computed on September 20, 2026.

Where this sits in the catalog

At 0.329%, Jonathan Jablonowski sits above the 50th percentile of the 156,969 accounts in this comparison. That places it in the above the median band, which runs 0.128% to 0.604%.

p100.003%
p250.022%
p50 (median)0.128%
p750.604%
p902.32%
p9983.4%
Engagement rate as a share of followers, across the 156,969 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,068 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.003%
25th percentile0.022%
50th percentile0.128%
75th percentile0.604%
90th percentile2.32%
99th percentile83.4%

This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built

Posting timing

This account posts most often around 23:00 UTC, and Monday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 23:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 23:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%89K
01:00 UTC-2%90K
02:00 UTC-3%88K
03:00 UTC-4%94K
04:00 UTC-5%76K
05:00 UTC-4%75K
06:00 UTC-5%86K
07:00 UTC-5%93K
08:00 UTC-4%108K
09:00 UTC-4%124K
10:00 UTC-3%129K
11:00 UTC-3%141K
12:00 UTC-3%154K
13:00 UTC-3%167K
14:00 UTC-4%173K
15:00 UTC-2%176K
16:00 UTC-3%171K
17:00 UTC-3%159K
18:00 UTC-2%149K
19:00 UTC-2%141K
20:00 UTC-1%131K
21:00 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Formats this account uses

Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video100% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 100% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
  • 0% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 148 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below the same accounts' other posts.

These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.

Best tweets

  • May 22, 20267.9x their median

    2026 Cologne Major Items are now available: https://t.co/XqMr2Xaz9U

    6.4K3116572884.3M viewsView on X
  • Jun 21, 20267.4x their median

    Damn what a fuckin major, insane games. Sick story and congrats @NiKoCS_ @karriganCSGO!! πŸ”₯πŸ”₯

    6.9K96680128K viewsView on X
  • Mar 13, 20266.5x their median

    welcome @malbsMd πŸ‡¬πŸ‡Ή Back in NA! We’re excited to have malbsMd join our starting roster at BLAST Open Rotterdam and to bring a new element to our team. Thanks to @g2esports for working with us on this trade- the doctor is in! 🩺 https://t.co/2dZ5vIVdy4

    5.9K162136104735K viewsView on X
  • Sep 25, 20255.9x their median

    He's coming home. Welcome @EliGE back to Team Liquid CS πŸ‡ΊπŸ‡Έ https://t.co/bUm9IPPMQz

    5.1K308152981.3M viewsView on X
  • Jul 24, 20265.5x their median

    LETS GOOOOOOOO!!!!!! First W with the squad and against @TeamVitalityCS no less Great start for us and more work to do of course, but so happy RN :DDDD

    5.0K110120785K viewsView on X
  • Jul 25, 20263.3x their median

    2-0 OVER @G2esports FOR THE DUB in Blast Bounty! Malta here we come again! FeelsGoodMan 😁😁

    3.0K4363452K viewsView on X
  • Dec 2, 20252.8x their median

    STAGE 3 QUALIFIED 😎😎!! Grinded fully back from 0-2 to 3-2, really proud of the guys making this happen. We all did our part and improving as we go to get to the form we know we are capable of 2-0 over Astralis and now Legends Stage πŸ”₯πŸ”₯

    2.6K2459063K viewsView on X
  • Dec 21, 20252.1x their median

    wtf haven't gotten this before XD INTERESTING SYSTEM so much for more premier 😭 https://t.co/7DhZhoKvR1

    1.9K287613451K viewsView on X
  • Dec 5, 20252.0x their median

    Absolutely disappointing. We played really poorly and not as a unit yesterday or today. Major pressure playing a big part but should have still showed a better performance to that Apologies to the fans. Next year we need to be much better and we will especially with more time

    1.9K1273183K viewsView on X
  • Jul 30, 20262.0x their median

    0-2 to Spirit unfortunately wasn’t gonna be that easy to just be the best team right off the bat. They outplayed us with their gameplan hard and we were a bit too stiff All good, learning experience for us and Stake next for us in Sweden

    1.9K1129144K viewsView on X

Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.

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Reading these numbers

A typical post picks up 958 interactions against 291K followers, an engagement rate of 0.329%. Posts are seen about 294K times each, and 0.326% of those impressions turn into an interaction. That is about 101.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.07 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 23:00 UTC, and Monday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 7.6K interactions, about 7.9x its own typical post. Only 1 original post have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is Jonathan Jablonowski's engagement rate on X?
Jonathan Jablonowski (@EliGE) has an engagement rate of 0.329%, based on the median interactions across 1 original posts from the last 30 days against 291,035 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.329%, Jonathan Jablonowski sits above the 50th percentile of the 156,969 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
Does @EliGE have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @EliGE post?
Most posts go out around 23:00 UTC, and Monday is its busiest day, at roughly 0.07 posts per day across the measured window.

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