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
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%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.003% |
| 25th percentile | 0.022% |
| 50th percentile | 0.128% |
| 75th percentile | 0.604% |
| 90th percentile | 2.32% |
| 99th percentile | 83.4% |
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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 58% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 17% 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
- Sep 13, 202621x their median
gg frickin easy daughter or hey dont say that son 🤔
- Sep 2, 202619x their median
I've decided to take a break from mental health to focus on League
- 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
- Aug 17, 20269.3x their median
hair transplant pre and post op 🤓 https://t.co/dHkfb4Rh1m
- Jun 4, 20265.3x their median
hanging out with some fans 😎 https://t.co/xUCScIarif
- Aug 4, 20264.6x their median
dinner with Johnny Sins, Parth, and Alysa Liu. jealous? https://t.co/cjKFqHWcF9
- May 6, 20264.3x their median
pov: your 2 dads got lunch together https://t.co/MtMBocmTBh
- 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 ❤
- 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.
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
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.