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Yiliang Peng engagement report

@Doublelift1 - 835K followers on X

Measured over 12 original posts from a 30-day window, last computed on September 26, 2026.

Engagement

Top quarter for its size
Per follower
0.203%
of 835K followers
Per impression
2.53%
67K views on a typical post
Reach
8.00%
of its followers see a post
Typical post
1.7K
interactions (median)
Saved
0.052%
35 bookmarks on a typical post
Posting rate
0.57/day
active 43% of days
Peak time
16:00 UTC
Tuesday

A typical post picks up 1.7K interactions against 835K followers, an engagement rate of 0.203%. Measured over 12 original posts, its engagement rate beats 83% of 15,519 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 67K times each, and 2.53% of those impressions turn into an interaction. That is about 8.01% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.57 post a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 16:00 UTC, and Tuesday is the busiest day of the week. Of the 12 posts sampled, 58% carry an image or video and 17% link out. The account's strongest tracked post pulled 56K interactions, about 33x its own typical post. Recurring topics include #ad, #logitechgplay.

Measured over 12 original posts from a 30-day window, last computed on September 26, 2026. Recurring tags: #ad, #logitechgplay.

Compared with accounts its own size

Yiliang Peng's engagement rate beats 83% of the tracked X accounts closest to it in follower count (15,519 accounts, accounts of similar size (decile 10 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.

On engagement per impression rather than per follower it beats 76% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.

Where this sits in the catalog

At 0.203%, Yiliang Peng 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 16:00 UTC, and Tuesday 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: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 16:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video58% of posts+111%+108% to +115%34K
Outbound link17% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 58% 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.
  • 17% 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 154 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

  • Sep 10, 202633x their median

    The Symbiote is evil https://t.co/KL9LIZAAXh

    51K4.6K6987596K viewsView on X
  • Sep 13, 202621x their median

    gg frickin easy daughter or hey dont say that son 🤔

    34K1.8K7975506K viewsView on X
  • Sep 2, 202619x their median

    I've decided to take a break from mental health to focus on League

    30K1.8K10790679K viewsView on X
  • Jul 21, 202611x their median

    Ludwig revealed he pays his YouTube editors "hundreds of thousands" plus a percentage of video earnings He said creators need to pay editors far more than people realize https://t.co/D56FPYC9VA

    17K3921351896.1M viewsView on X
  • Aug 17, 20269.3x their median

    hair transplant pre and post op 🤓 https://t.co/dHkfb4Rh1m

    15K133300813.2M viewsView on X
  • Jun 4, 20265.3x their median

    hanging out with some fans 😎 https://t.co/xUCScIarif

    8.8K1074135959K viewsView on X
  • Aug 4, 20264.6x their median

    dinner with Johnny Sins, Parth, and Alysa Liu. jealous? https://t.co/cjKFqHWcF9

    7.6K1335725542K viewsView on X
  • May 6, 20264.3x their median

    pov: your 2 dads got lunch together https://t.co/MtMBocmTBh

    7.1K1506329341K viewsView on X
  • Jul 12, 20263.8x their median

    Inspired is the most valuable player in the west. Every single team and player he plays with peaks and plays at a level they've never reached before his arrival or since his departure. His shotcalling and decisionmaking is unique and not possible to imitate because it is not observable by the public. He frees up the mental burden of his teammates and allows them to focus on their individual play by directing people on how to win, and he is undoubtedly a world class jungler if you IGNORED all of these qualities. Absolutely insane, needed to glaze him a bit. LYON really made everyone believe again and it was amazing to see it live ❤

    6.3K126323238K viewsView on X
  • Sep 19, 20263.7x their median

    Isn't it extremely unfair @Trainwreckstv gets his account manually demoted by Riot for playing flex queue because its being flagged as "boosting"? The entire system is so unfriendly to people who just want to play together. The message being sent: high rated players with lower rated friends can only play normals or face punishment. Trainwrecks deserves his Masters rank in flex queue REGARDLESS of who he's queued with because it is the ENTIRE POINT of flex queue to be able to play with your friends and get into a competitive environment with them. We should be encouraging people to hop into a flex 5stack, not opposed to it! This is some of the most fun you can have in League and these punishments by Riot go against the interest of both the players and the game.

    5.9K15011511347K 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.

Recurring topics

#ad#logitechgplay

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 1.7K interactions against 835K followers, an engagement rate of 0.203%. Measured over 12 original posts, its engagement rate beats 83% of 15,519 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 67K times each, and 2.53% of those impressions turn into an interaction. That is about 8.01% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.57 post a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 16:00 UTC, and Tuesday is the busiest day of the week. Of the 12 posts sampled, 58% carry an image or video and 17% link out. The account's strongest tracked post pulled 56K interactions, about 33x its own typical post. Recurring topics include #ad, #logitechgplay.

What is Yiliang Peng's engagement rate on X?
Yiliang Peng (@Doublelift1) has an engagement rate of 0.203%, based on the median interactions across 12 original posts from the last 30 days against 834,773 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.203%, Yiliang Peng 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 @Doublelift1 have real engagement?
Its engagement rate beats 83% of the tracked X accounts closest to it in follower count (15,519 accounts), which puts it in the top quarter for its size group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
When does @Doublelift1 post?
Most posts go out around 16:00 UTC, and Tuesday is its busiest day, at roughly 0.57 posts per day across the measured window.

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