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Football Ground engagement report

@FBallGround - 256K followers on X

Measured over 8 original posts from a 30-day window, last computed on September 25, 2026.

Engagement

Middle of its size range
Per follower
0.093%
of 256K followers
Per impression
0.42%
57K views on a typical post
Reach
22.1%
of its followers see a post
Typical post
238
interactions (median)
Saved
0.021%
12 bookmarks on a typical post
Posting rate
2.97/day
active 20% of days
Peak time
00:00 UTC
Tuesday

A typical post picks up 238 interactions against 256K followers, an engagement rate of 0.093%. Measured over 8 original posts, its engagement rate beats 58% of 21,185 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 57K times each, and 0.42% of those impressions turn into an interaction. That is about 22.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 00:00 UTC, and Tuesday is the busiest day of the week. Of the 8 posts sampled, 100% carry an image or video and 13% link out. The account's strongest tracked post pulled 27K interactions, about 112x its own typical post.

Measured over 8 original posts from a 30-day window, last computed on September 25, 2026.

Compared with accounts its own size

Football Ground's engagement rate beats 58% of the tracked X accounts closest to it in follower count (21,185 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 23% 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 0.093%, Football Ground sits above the 25th percentile of the 213,186 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.147%.

p100.004%
p250.025%
p50 (median)0.147%
p750.698%
p902.61%
p9982.9%
Engagement rate as a share of followers, across the 213,186 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,400 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 percentile0.004%
25th percentile0.025%
50th percentile0.147%
75th percentile0.698%
90th percentile2.61%
99th percentile82.9%

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 00:00 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: 00:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 00:00 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 video100% of posts+111%+108% to +115%34K
Outbound link13% 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.
  • 13% 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 161 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 9, 2026112x their median

    I have a bet with my friends that if PCA hits 40/40 I have to cum in my own mouth and record it. They just send me shit like this all the time https://t.co/sC1CBCdguI

    26K3232792744.8M viewsView on X
  • Sep 25, 20262.6x their median

    Bijan Robinson picks up 16 yards early on! @ATLvsGB on Prime Video Stream on @NFLPlus https://t.co/Q6SinvAaHq

    54848294305K viewsView on X
  • Sep 24, 20261.8x their median

    Pete Crow-Armstrong just made MLB history 🤯 PCA becomes just the 3rd player EVER with 45+ home runs and 40+ stolen bases in a season Joining Shohei Ohtani and Alfonso Soriano. https://t.co/CaEdzEezvQ

    368468576K viewsView on X
  • Sep 8, 2026

    Every second pays Rocket Markets is LIVE on Monad Welcome to the first ever time-based prediction market https://t.co/Wz9OADHILy

    18632772238K viewsView on X
  • Sep 25, 2026

    Drake London and Bijan Robinson just made history at Lambeau Field 🤯 They’re the first teammates to each record 150+ yards from scrimmage in a road game at Lambeau. https://t.co/H1TOFgM7Y2

    12730028.3K viewsView on X
  • Sep 3, 2026

    Speed Survivor is live September 9. $30,000 in prizes guaranteed Week 1. Get $100 matched free & be entered for a chance to win our $3.6M Perfect Weekend jackpot. Download Today: https://t.co/FVyRqKltv4 https://t.co/hd1JXtpRaF

    693149147K viewsView on X
  • Sep 8, 2026

    HOLY FUCK🚨 bet105's liability for Shelton vs Alcaraz: Net position is Alcaraz -4.5 games at +114 A Shelton win costs us $115.6K Current Lines: Shelton +304 Alcaraz -359 https://t.co/1u3h5Ievi5

    528112K viewsView on X
  • Sep 5, 2026

    1win is either genius or lost 50k lol https://t.co/PPyUUz2o2M

    50005.6K 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 238 interactions against 256K followers, an engagement rate of 0.093%. Measured over 8 original posts, its engagement rate beats 58% of 21,185 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 57K times each, and 0.42% of those impressions turn into an interaction. That is about 22.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 00:00 UTC, and Tuesday is the busiest day of the week. Of the 8 posts sampled, 100% carry an image or video and 13% link out. The account's strongest tracked post pulled 27K interactions, about 112x its own typical post.

What is Football Ground's engagement rate on X?
Football Ground (@FBallGround) has an engagement rate of 0.093%, based on the median interactions across 8 original posts from the last 30 days against 255,744 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.093%, Football Ground sits above the 25th percentile of the 213,186 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 @FBallGround have real engagement?
Its engagement rate beats 58% of the tracked X accounts closest to it in follower count (21,185 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 @FBallGround post?
Most posts go out around 00:00 UTC, and Tuesday is its busiest day, at roughly 2.97 posts per day across the measured window.

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