Clyde 1 Superscoreboard engagement report
@ClydeSSB - 158K followers on X
Measured over 54 original posts from a 30-day window, last computed on September 22, 2026.
Engagement
A typical post picks up 36 interactions against 158K followers, an engagement rate of 0.023%. Measured over 54 original posts, its engagement rate beats 30% of 20,444 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 18K times each, and 0.204% of those impressions turn into an interaction. That is about 11.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 19:00 UTC, and Thursday is the busiest day of the week. Of the 54 posts sampled, 65% carry an image or video, 7% are part of a thread and 22% link out. The account's strongest tracked post pulled 997 interactions, about 28x its own typical post. Recurring topics include #fulltimeteaser, #beatthepundit, #teamoftheweek.
Measured over 54 original posts from a 30-day window, last computed on September 22, 2026. Recurring tags: #fulltimeteaser, #beatthepundit, #teamoftheweek.
Compared with accounts its own size
Clyde 1 Superscoreboard's engagement rate beats 30% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 8 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 11% 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 0.023%, Clyde 1 Superscoreboard sits above the 10th percentile of the 204,956 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.678% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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 19:00 UTC, and Thursday 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 | 65% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 22% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 65% 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.
- 22% 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 204 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.
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 18, 202628x their median
🔊 LISTEN: “Ryan’s ankle is a mess”. 🔵 Derek McInnes says Ryan Naderi is a doubt to face Celtic because of Mika Baur’s challenge. 🖥️ McInnes says it’s “strange” the referee wasn’t called to the screen to look at it back ⬇️ https://t.co/vho7CAJaIJ
- Sep 20, 202627x their median
🔊 LISTEN: “I genuinely will reflect and see. It’s a matter of whether I can help the team”. 🍀 Celtic boss Martin O’Neill says he will reflect on his future over the international break ⬇️ https://t.co/OqcnbAldHj
- Sep 20, 20268.9x their median
🔊 LISTEN: “Although we won 1-0, we should’ve scored more and we should’ve added to that”. 🔵 Rangers boss Derek McInnes thinks their victory over Celtic could’ve been even more convincing ⬇️ https://t.co/FLvrFB9DOx
- Sep 20, 20268.7x their median
⚽ FT: Celtic 0-1 Rangers Ryan Naderi's first half strike gives Derek McInnes' side a huge three points with the hosts suffering their third defeat in a week!
- Sep 17, 20267.2x their median
⚽ FT: Celtic 1-3 Ferencvaros It's defeat for Martin O'Neill's men in their opening Europa League match!
- Sep 18, 20266.8x their median
🔊 LISTEN: “We are far from rock bottom.” “I get the fact why fans might be asking why the team is led by a 74-year-old… well, when I was 73 we won!” 🍀 Celtic manager Martin O’Neill says this weekend’s derby against Rangers is ‘too early’ to be ‘season defining’. ⬇️ https://t.co/1UV4xviVla
- Sep 21, 20266.1x their median
😏 "I want them to SUFFER!" This fan expects Rangers to "DESTROY" Celtic this season after Old Firm win. Give us your take on the game tonight from 6pm on 0141 951 1025 📞 https://t.co/A0fksPUc9m
- Sep 18, 20266.1x their median
🔵 "Jim Gillespie spoke to Willie Collum and the SFA about it... I’m really not happy with the challenge". Derek McInnes says Rangers contacted the SFA over Mika Baur's challenge that has left Ryan Naderi a doubt for Sunday's Old Firm ⬇️ https://t.co/Nc7HvclWqq https://t.co/ZIp8gPrDdm
- Sep 20, 20265.4x their median
🥅 33' Goal - Rangers! Ryan Naderi scores the rebound after Minsu Kim's shot was saved! Celtic 0-1 Rangers https://t.co/ldtT3OpZwQ
- Sep 17, 20265.1x their median
🎥 WATCH: “If we’re going to get the best out of our best players… we’re going to have to find another way”. 🍀 Martin O’Neill says he’s still working out his best Celtic team and admits some new players are still learning the demands of the club ⬇️ https://t.co/Mb09K1kGLk
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 36 interactions against 158K followers, an engagement rate of 0.023%. Measured over 54 original posts, its engagement rate beats 30% of 20,444 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 18K times each, and 0.204% of those impressions turn into an interaction. That is about 11.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 19:00 UTC, and Thursday is the busiest day of the week. Of the 54 posts sampled, 65% carry an image or video, 7% are part of a thread and 22% link out. The account's strongest tracked post pulled 997 interactions, about 28x its own typical post. Recurring topics include #fulltimeteaser, #beatthepundit, #teamoftheweek.
- What is Clyde 1 Superscoreboard's engagement rate on X?
- Clyde 1 Superscoreboard (@ClydeSSB) has an engagement rate of 0.023%, based on the median interactions across 54 original posts from the last 30 days against 157,811 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.023%, Clyde 1 Superscoreboard sits above the 10th percentile of the 204,956 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 @ClydeSSB have real engagement?
- Its engagement rate beats 30% of the tracked X accounts closest to it in follower count (20,444 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 @ClydeSSB post?
- Most posts go out around 19:00 UTC, and Thursday is its busiest day, at roughly 2 posts per day across the measured window.