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StatMuse engagement report

@statmuse - 881K followers on X

Measured over 96 original posts from a 30-day window, last computed on August 29, 2026.

Engagement

Middle of its size range
Per follower
0.044%
of 881K followers
Per impression
1.40%
28K views on a typical post
Reach
3.16%
of its followers see a post
Typical post
389
interactions (median)
Saved
0.018%
5 bookmarks on a typical post
Posting rate
3.27/day
active 27% of days
Peak time
01:00 UTC
Friday

A typical post picks up 389 interactions against 881K followers, an engagement rate of 0.044%. Measured over 96 original posts, its engagement rate beats 59% of 3,739 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 28K times each, and 1.40% of those impressions turn into an interaction. That is about 3.16% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.3 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 01:00 UTC, and Friday is the busiest day of the week. Of the 96 posts sampled, 99% carry an image or video. The account's strongest tracked post pulled 4.6K interactions, about 12x its own typical post.

Measured over 96 original posts from a 30-day window, last computed on August 29, 2026.

Compared with accounts its own size

StatMuse's engagement rate beats 59% of the tracked X accounts closest to it in follower count (3,739 accounts, accounts of similar size (decile 9 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 60% 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 0.044%, StatMuse sits above the 25th percentile of the 36,261 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.08%.

p100.002%
p250.012%
p50 (median)0.08%
p750.431%
p902.10%
p99160.7%
Engagement rate as a share of followers, across the 36,261 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 107,137 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 percentile0.002%
25th percentile0.012%
50th percentile0.08%
75th percentile0.431%
90th percentile2.10%
99th percentile160.7%

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 01:00 UTC, and Friday 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: 01:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 01:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%50K
01:00 UTC-2%51K
02:00 UTC-3%50K
03:00 UTC-4%53K
04:00 UTC-6%43K
05:00 UTC-4%42K
06:00 UTC-4%48K
07:00 UTC-5%51K
08:00 UTC-4%60K
09:00 UTC-3%69K
10:00 UTC-2%71K
11:00 UTC-3%78K
12:00 UTC-2%86K
13:00 UTC-2%93K
14:00 UTC-3%96K
15:00 UTC-2%100K
16:00 UTC-3%97K
17:00 UTC-2%90K
18:00 UTC-1%84K
19:00 UTC-2%79K
20:00 UTC-1%74K
21:00 UTC-1%66K
22:00 UTC-2%57K
23:00 UTC-2%51K
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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Friday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+4%229K
Monday0%284K
Tuesday-2%273K
Wednesday-1%250K
Thursday-2%243K
Friday-3%251K
Saturday+3%226K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 21, 202612x their median

    The only players in NBA or WNBA history with: 20+ PTS 10+ REB 5+ AST 3+ STL 100 FG% in a game. https://t.co/uhYzqBlMs7

    3.9K655254675K viewsView on X
  • Aug 25, 20266.7x their median

    Wins in the 2020s: 277 — Georges Niang 273 — Warriors Niang missed all of last season. https://t.co/AMjGWLvGmi

    2.5K69615114K viewsView on X
  • Aug 27, 20265.3x their median

    The "old guys" last season: LeBron — 20.9 PPG — 6.1 RPG — 7.2 APG Durant — 26.0 PPG — 5.5 RPG — 52/41/87% Steph — 26.6 PPG — 1.1 SPG — 4.4 3PM What will they average in 2026-27? https://t.co/b2tKbriJ2M

    2.0K732513106K viewsView on X
  • Aug 20, 20265.1x their median

    Peyton Watson without Jokic last season: 22.1 PPG 5.8 RPG 1.1 SPG 1.5 BPG 2.3 3PM 44.3 3P% What will he average in Cleveland? https://t.co/V4lfMGr0gV

    1.9K97311279K viewsView on X
  • Aug 28, 20264.3x their median

    Kobe in 2006: — 35.4 PPG (1st) — 5.3 RPG — 1.8 SPG — 2.3 3PM Fourth in MVP voting. https://t.co/l8idBbv6a0

    1.5K93271244K viewsView on X
  • Aug 27, 20264.3x their median

    Kyle Lowry as a Raptor: — NBA Champion — 6x All-Star — All-NBA — Franchise leader in assists — Franchise leader in steals — Franchise leader in threes — Franchise leader in wins — 2nd in franchise history in points — 4th in franchise history in rebounds All-timer. https://t.co/b4jxQWBmf8

    1.5K16381097K viewsView on X
  • Aug 29, 20263.9x their median

    Caitlin Clark vs Connecticut: 34 PTS 5 REB 12 AST 3 STL 12-19 FG +32 The highest +/- in a game in her career. https://t.co/u6xIr8GVUR

    1.4K13416828K viewsView on X
  • Aug 27, 20263.9x their median

    Louis Varland this season: 67.2 IP 1.20 ERA 83 SO 30 SV He has only one blown save. https://t.co/MxmsYhxUVC

    1.5K329350K viewsView on X
  • Aug 26, 20263.8x their median

    MJ as a rookie: 28.2 PPG 6.5 RPG 5.9 APG 2.4 SPG The most PPG by a rookie since the merger. https://t.co/al5qoqDY9l

    1.4K6910440K viewsView on X
  • Aug 25, 20263.8x their median

    Highest win percentage by an active player: .713 — 7x All-Star .674 — 6x All-Star .654 — 7x All-Star .654 — Georges Niang Warriors got their guy. https://t.co/o5VATJcckP

    1.4K3811350K 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 389 interactions against 881K followers, an engagement rate of 0.044%. Measured over 96 original posts, its engagement rate beats 59% of 3,739 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 28K times each, and 1.40% of those impressions turn into an interaction. That is about 3.16% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.3 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 01:00 UTC, and Friday is the busiest day of the week. Of the 96 posts sampled, 99% carry an image or video. The account's strongest tracked post pulled 4.6K interactions, about 12x its own typical post.

What is StatMuse's engagement rate on X?
StatMuse (@statmuse) has an engagement rate of 0.044%, based on the median interactions across 96 original posts from the last 30 days against 880,901 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.044%, StatMuse sits above the 25th percentile of the 36,261 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 @statmuse have real engagement?
Its engagement rate beats 59% of the tracked X accounts closest to it in follower count (3,739 accounts), which puts it in the middle of its size range 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 @statmuse post?
Most posts go out around 01:00 UTC, and Friday is its busiest day, at roughly 3.27 posts per day across the measured window.

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