Premier League Panel engagement report
@PremLeaguePanel - 281K followers on X
Measured over 11 original posts from a 30-day window, last computed on September 7, 2026.
Engagement
A typical post picks up 3.2K interactions against 281K followers, an engagement rate of 1.13%. Measured over 11 original posts, its engagement rate beats 94% of 6,874 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 89K times each, and 3.56% of those impressions turn into an interaction. That is about 31.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.6 post a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 13:00 UTC, and Sunday is the busiest day of the week. Of the 11 posts sampled, 18% carry an image or video and 9% link out. The account's strongest tracked post pulled 6.9K interactions, about 2.2x its own typical post.
Measured over 11 original posts from a 30-day window, last computed on September 7, 2026.
Compared with accounts its own size
Premier League Panel's engagement rate beats 94% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 7 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 81% 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 1.13%, Premier League Panel sits above the 75th percentile of the 66,536 accounts in this comparison. That places it in the top 25% band, which runs 0.5% to 2.09%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.016% |
| 50th percentile | 0.1% |
| 75th percentile | 0.5% |
| 90th percentile | 2.09% |
| 99th percentile | 119.7% |
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 13:00 UTC, and Sunday 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 | 18% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 9% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 18% 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.
- 9% 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 250 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
- Aug 29, 20262.2x their median
Liverpool are playing like a mid-table team with a high level of attacking talent. Barely generate any good build-up sequences.
- Aug 26, 20261.6x their median
Ayoub Bouaddi can become the world’s best midfielder at defending. Alongside this, he’s very press resistant & produces clean passes between the lines with good timing. Very intelligent both in and out of possession. He can set the floor for how Man City play for the next decade. https://t.co/FyQlDhgrqQ
- Sep 1, 2026
For big matches, can see Man City flipping to a 3 man midfield of Bouaddi (defensive shield), Enzo (passer + goals), Anderson (box to box with ability to carry & make depth runs for the winger to find). Anderson at RCM & Nunes RB would allow Cherki to play as a creator from RW.
- Sep 6, 2026
Sharp movement to move onside for the 1st goal. Dummy for the 2nd goal after realising Odegaard’s run would give him a chance. Kai Havertz is a high IQ player - he allows the other Arsenal attackers to play better AND he chips in with goals. Top striker. https://t.co/hbNU7zbQLu
- Aug 2, 2026
Matthias Jaissle is a very very smart coach. The fit with Newcastle’s squad is there because he does have a default setting of wanting to dominate with a high pressing 4-4-2. However it is more than that. You can see that his players are completely in sync off-the-ball - they can be sitting in a mid-block and the triggers to transform this into high pressing are harmonic and result in the opposition being strangled. A key thing that Newcastle will benefit from is Jaissle’s flexibility. He is not a plan A only “my way and only my way” type of coach. He adapts to and maximises the talent that he has. You can see this with how he has set up plays that maximise Galeño (in-behind threat from wide), Firmino (pocket player), Toney (aerial threat/hold-up), Mahrez (wide creator). And he often targets opposition team weaknesses with his players’ strengths. This should have Newcastle competing very well strategically vs big teams. It was a hallmark of his back to back AFC Champions League wins. What comes across with his football is that he fundamentally has very strong understanding of his players’ games and will help them excel. Strong feeling is that Jaissle is a hidden coaching gem (because he’s been in Saudi). He should play into the strengths of Newcastle’s squad but also give them extra tools to evolve. This is a very exciting appointment.
- Jul 19, 2026
👀👀👀 2 World Cup winners predicted in a row ✅✅ https://t.co/jG3Crq6yW7
- Sep 6, 2026
Other than midfield personnel, Chelsea’s improvement from a tactical POV is clear. For most of the match they allowed Arsenal to have too many easy build-up situations to pin them back and Chelsea’s defence is simply not good enough to defend deep for large periods of the match.
- Sep 4, 2026
Szoboszlai’s technical execution is so much better when he receives outside of the opposition block under less pressure. Excellent passing range in these conditions & excellent crossing. Both RB & RW are valid options to enable this. Can also run in-behind like for the pen shout.
- Sep 6, 2026
Excellent match. Chelsea are surviving off their counter-attack threat but are getting pinned back into their defensive third too often. Defensive setup needs to be more aggressive at blocking space higher up. This is also Arsenal’s preferred setup to attack teams.
- Sep 5, 2026
Malick Thiaw’s deep build-up play was actively targeted by Marco Rose as an opportunity to press and win the ball in dangerous areas. Botman also with several sloppy giveaways today. Think Newcastle would be better served dropping Nico G between the CBs in these matches and using more of a 4-3-3 with Miley & Ramsey as the 8s.
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.
Buy or sell X accounts - escrow-protected
PlayerSells is an escrow marketplace for X accounts. Every deal is protected, with no middleman risk.
Reading these numbers
A typical post picks up 3.2K interactions against 281K followers, an engagement rate of 1.13%. Measured over 11 original posts, its engagement rate beats 94% of 6,874 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 89K times each, and 3.56% of those impressions turn into an interaction. That is about 31.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.6 post a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 13:00 UTC, and Sunday is the busiest day of the week. Of the 11 posts sampled, 18% carry an image or video and 9% link out. The account's strongest tracked post pulled 6.9K interactions, about 2.2x its own typical post.
- What is Premier League Panel's engagement rate on X?
- Premier League Panel (@PremLeaguePanel) has an engagement rate of 1.13%, based on the median interactions across 11 original posts from the last 30 days against 280,922 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 1.13%, Premier League Panel sits above the 75th percentile of the 66,536 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 @PremLeaguePanel have real engagement?
- Its engagement rate beats 94% of the tracked X accounts closest to it in follower count (6,874 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 @PremLeaguePanel post?
- Most posts go out around 13:00 UTC, and Sunday is its busiest day, at roughly 0.6 posts per day across the measured window.