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Pys engagement report

@CFCPys - 716K followers on X

Measured over 71 original posts from a 30-day window, last computed on October 2, 2026.

Engagement

Top 10% for its size
Per follower
0.671%
of 716K followers
Per impression
3.08%
156K views on a typical post
Reach
21.8%
of its followers see a post
Typical post
4.8K
interactions (median)
Saved
0.022%
34 bookmarks on a typical post
Posting rate
3.87/day
active 57% of days
Peak time
20:00 UTC
Wednesday

A typical post picks up 4.8K interactions against 716K followers, an engagement rate of 0.671%. Measured over 71 original posts, its engagement rate beats 94% of 19,932 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 156K times each, and 3.08% of those impressions turn into an interaction. That is about 21.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.9 posts a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 20:00 UTC, and Wednesday is the busiest day of the week. Of the 71 posts sampled, 38% carry an image or video and 6% link out. The account's strongest tracked post pulled 25K interactions, about 5.3x its own typical post. Recurring topics include #cfc, #ad, #ucl.

Measured over 71 original posts from a 30-day window, last computed on October 2, 2026. Recurring tags: #cfc, #ad, #ucl.

Compared with accounts its own size

Pys's engagement rate beats 94% of the tracked X accounts closest to it in follower count (19,932 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 79% 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 0.671%, Pys sits above the 50th percentile of the 201,225 accounts in this comparison. That places it in the above the median band, which runs 0.141% to 0.671%.

p100.004%
p250.024%
p50 (median)0.141%
p750.671%
p902.53%
p9982.4%
Engagement rate as a share of followers, across the 201,225 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,900 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 percentile0.024%
50th percentile0.141%
75th percentile0.671%
90th percentile2.53%
99th percentile82.4%

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 20:00 UTC, and Wednesday 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: 20:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 20:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video38% of posts+111%+108% to +115%34K
Outbound link6% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 38% 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.
  • 6% 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 172 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, 20265.3x their median

    These guys are still at it after last night 😂😂 https://t.co/kto0lF1jsU

    24K1.2K1081001.2M viewsView on X
  • Sep 9, 20264.9x their median

    🚨 Barco: “I am ready to play in these games and I am ready to play in the Premier League as well. It’s physical and a tough league, but I am ready to fight in every game. I feel comfortable with the team and coach. (@ChelseaFC) https://t.co/fWKffKPX5f

    22K1.2K8543220K viewsView on X
  • Sep 11, 20264.1x their median

    🚨 🚨 BREAKING: Joao Pedro wins Premier League POTM. (@ChelseaFC) https://t.co/1HeJ0C91Kb

    18K1.3K137113251K viewsView on X
  • Sep 9, 20263.3x their median

    🚨 Chelsea’s first 5 under Alonso : ✅ Fulham - 3-2 ✅ Luton 2-0 ✅ Brighton 4-3 ❌ Arsenal 1-2 ✅ Leeds 6-3 ⚽️ Goals scored : 16 ⚽️ Goals conceded : 10 https://t.co/8a7VJa3UYe

    15K976226146337K viewsView on X
  • Aug 24, 20263.2x their median

    Unbelievable performance tonight from Maxence Lacroix. Commanding, quick to the tackle, driving us forward on the ball. He made some really nice interceptions as well. Really enjoyed his display. https://t.co/57AgrogVid

    14K89518051167K viewsView on X
  • Sep 10, 20263.0x their median

    🚨 Hull manager Sergej Jakirovic on how he plans to stop Joao Pedro, Palmer and Rogers on Saturday : “Kick them” (laughs)” (@SkySportsPL) “No, if you man mark you don’t have a chance, we will need to be together and compact”

    14K684158137568K viewsView on X
  • Sep 10, 20262.8x their median

    🚨 Palmer said Alonso started calm but then got a bit angry at half time so they had to step it up in the second half. #CFC (Sky Sports Football on YT) https://t.co/plksAfUjVn

    13K5883616204K viewsView on X
  • Aug 24, 20262.7x their median

    🚨 BREAKING: Chelsea are looking at four potential options should Enzo Fernandez leave : - Alex Scott - Adam Wharton - Manu Kone - Eduardo Camavinga (@JacobsBen @talkSPORT)

    11K601643538813K viewsView on X
  • Aug 24, 20262.6x their median

    🚨 Internally at Chelsea there has been a recognition that they undervalued the importance of AURA when it came to hiring coaches. Rosenior and Potter could NOT stand the HEAT. (@guardian_sport) #CFC https://t.co/0tqbvKT0UU

    12K467169148425K viewsView on X
  • Sep 11, 20262.6x their median

    🚨 👀 At least 2 other players have verbally agreed new deals. Further announcements will be made down the line. (@Matt_Law_DT) #CFC

    11K561134165308K 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

#cfc#ad#ucl#epl

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 4.8K interactions against 716K followers, an engagement rate of 0.671%. Measured over 71 original posts, its engagement rate beats 94% of 19,932 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 156K times each, and 3.08% of those impressions turn into an interaction. That is about 21.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.9 posts a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 20:00 UTC, and Wednesday is the busiest day of the week. Of the 71 posts sampled, 38% carry an image or video and 6% link out. The account's strongest tracked post pulled 25K interactions, about 5.3x its own typical post. Recurring topics include #cfc, #ad, #ucl.

What is Pys's engagement rate on X?
Pys (@CFCPys) has an engagement rate of 0.671%, based on the median interactions across 71 original posts from the last 30 days against 716,022 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.671%, Pys sits above the 50th percentile of the 201,225 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 @CFCPys have real engagement?
Its engagement rate beats 94% of the tracked X accounts closest to it in follower count (19,932 accounts), which puts it in the top 10% 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 @CFCPys post?
Most posts go out around 20:00 UTC, and Wednesday is its busiest day, at roughly 3.87 posts per day across the measured window.

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