Tactical Football Analysis engagement report
@TFA_Analysis - 57K followers on X
Measured over 20 original posts from a 30-day window, last computed on October 6, 2026.
Engagement
A typical post picks up 26 interactions against 57K followers, an engagement rate of 0.045%. Measured over 20 original posts, its engagement rate beats 33% of 19,933 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 2.2K times each, and 1.20% of those impressions turn into an interaction. That is about 3.80% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.67 post a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 08:00 UTC, and Monday is the busiest day of the week. Of the 20 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 173 interactions, about 6.7x its own typical post.
Measured over 20 original posts from a 30-day window, last computed on October 6, 2026.
Compared with accounts its own size
Tactical Football Analysis's engagement rate beats 33% of the tracked X accounts closest to it in follower count (19,933 accounts, accounts of similar size (decile 5 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 42% 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 0.045%, Tactical Football Analysis sits above the 25th percentile of the 201,130 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.141%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.141% |
| 75th percentile | 0.671% |
| 90th percentile | 2.53% |
| 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 08:00 UTC, and Monday 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 | 100% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 100% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 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.
- 100% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
- Its average post runs 279 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 8, 20266.7x their median
Arsenal moved Rice deeper to get Saka inside. Rice joined the back three, freeing White to push high and Saka to leave the touchline. On the left, Calafiori stepped into midfield. How Arsenal found space against Chelsea’s compact block: https://t.co/qLn3X6Z1Kn https://t.co/L9vumrS86O
- Aug 26, 20263.5x their median
Chelsea’s front three shaped the game without the ball. They screened midfield, pressed back-foot passes and forced Fulham’s short build-up to go long. The first-minute goal came from that exact trap. How Alonso’s press created the breakthrough: https://t.co/pPQnuQV3PH https://t.co/4zE3vKj2pt
- Aug 18, 20263.5x their median
Arsenal made Phil Foden defend two midfielders at once. Bruno Guimarães and Lewis-Skelly held the same line. Arsenal shifted right, used two wall passes and released Bruno facing forward beyond City’s press. One mechanism behind a 3-0 win 👇 https://t.co/DLyOAb73RH https://t.co/LKhMCsqVES
- Aug 31, 20263.0x their median
Spurs tried to lock the centre-backs and force Newcastle inside. Nico González turned the trap into an exit: dropping into the back three, releasing full-backs, then finding Dedić diagonally in the move for Elanga’s opener. How Jaissle built a 2-0 win: https://t.co/Tho6LTQ9eq https://t.co/xpAZTcmmXm
- Aug 12, 20262.6x their median
Positional play didn’t die. It forced pressing to evolve, and pressing forced positional play to mutate. In 2017/18, City’s PPDA was 7.15. By 2022/23, four PL teams pressed more aggressively, pushing Guardiola towards a 3-2-4-1. The Tactical Arms Race: https://t.co/aMbcWjIIgT https://t.co/ZYlvXAvzoy
- Sep 4, 20262.3x their median
Ben White created Arsenal’s width at Villa Park by starting inside. His position pulled Villa’s winger and full-back narrow, opening the diagonal for Lewis-Skelly to release him outside. 50% of Arsenal’s attacks came down that flank. The full mechanism: https://t.co/hRYLxFtrTw https://t.co/8bsCpvhw7r
- Sep 8, 20262.2x their median
Man United were too slow to switch play, then too slow to defend the switch. Everton slid across to force them backwards. United left the far side open, and Everton exploited it for their first equaliser. Why United couldn’t protect their lead: https://t.co/C24UNE7W3y https://t.co/mmbqBjjARX
- Aug 27, 20261.7x their median
Manchester United have bought a contradiction in Carlos Baleba. 87th percentile for Defensive IQ. 85th for Activity. 38th for Reliability. He reads danger early and attacks it often. But United need the right partner to turn disruption into control. https://t.co/crrB0gBdqI https://t.co/bYW2YLnUee
- Aug 19, 20261.7x their median
These two frames show why Bruno Guimarães is not another Declan Rice. He drops beside the centre-backs, drives through the first line and finds the forward pass. Rice is then free to cover ground and arrive higher. Why the combination changes Arsenal: https://t.co/gVIh7TEG84 https://t.co/rIBacnkDKN
- Aug 25, 20261.6x their median
Liverpool's warning under Iraola came four minutes in. Both midfielders and full-backs advanced. An underhit pass left Van Dijk and Jacquet alone. Elanga punished the empty rest defence 13 seconds later. But the second goal actually exposed a different problem: https://t.co/8aVortevom
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 26 interactions against 57K followers, an engagement rate of 0.045%. Measured over 20 original posts, its engagement rate beats 33% of 19,933 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 2.2K times each, and 1.20% of those impressions turn into an interaction. That is about 3.80% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.67 post a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 08:00 UTC, and Monday is the busiest day of the week. Of the 20 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 173 interactions, about 6.7x its own typical post.
- What is Tactical Football Analysis's engagement rate on X?
- Tactical Football Analysis (@TFA_Analysis) has an engagement rate of 0.045%, based on the median interactions across 20 original posts from the last 30 days against 57,160 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.045%, Tactical Football Analysis sits above the 25th percentile of the 201,130 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 @TFA_Analysis have real engagement?
- Its engagement rate beats 33% of the tracked X accounts closest to it in follower count (19,933 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 @TFA_Analysis post?
- Most posts go out around 08:00 UTC, and Monday is its busiest day, at roughly 0.67 posts per day across the measured window.