Pat McAfee engagement report
@PatMcAfeeShow - 3.4M followers on X
Measured over 541 original posts from a 30-day window, last computed on October 24, 2026.
Engagement
A typical post picks up 643 interactions against 3.4M followers, an engagement rate of 0.019%. Measured over 541 original posts, its engagement rate beats 43% of 20,182 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 97K times each, and 0.664% of those impressions turn into an interaction. That is about 2.85% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 27 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 17:00 UTC, and Tuesday is the busiest day of the week. Of the 541 posts sampled, 97% carry an image or video. The account's strongest tracked post pulled 49K interactions, about 76x its own typical post. Recurring topics include #pmslive, #collegegameday, #mondaynightcountdown.
Measured over 541 original posts from a 30-day window, last computed on October 24, 2026. Recurring tags: #pmslive, #collegegameday, #mondaynightcountdown.
Compared with accounts its own size
Pat McAfee's engagement rate beats 43% of the tracked X accounts closest to it in follower count (20,182 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 37% 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 0.019%, Pat McAfee sits above the 10th percentile of the 204,491 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 | 0.677% |
| 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 17:00 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.
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 | 97% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 0% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | -3% | -3% to -2% | 54K |
- 97% 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.
- 0% 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 157 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 2, 202676x their median
Much has been made of the Patriots’ mysterious “Pink Stripes.” How about yellow ones? I went through more than a decade of TV broadcasts and uncovered a diabolically clever piece of Patriots gamesmanship. When opposing kickers lined up at Gillette Stadium, the video board displayed a reverse view of the kick, placing a second, offset set of yellow uprights directly behind the real ones. In windy conditions, even the orange streamers on the video board appeared to point in the opposite direction from those atop the physical uprights, making the illusion even more disorienting. I found dozens of examples. In the same games, I reviewed 52 Patriots field goal attempts. The illusion appeared on Patriots kicks exactly zero times. We actually tried copying the idea when I was in Philadelphia, but the location of the video boards at Lincoln Financial Field made it nearly useless. It is the perfect encapsulation of the Patriots dynasty. No detail was too small, and no possible edge was left unexplored. We talked about this tactic and more on tonight’s episode of the Paganetti and Underhill show, out now on Youtube
- Sep 5, 202642x their median
Jacket’s doing great https://t.co/2LrTgWKgB0
- Aug 29, 202635x their median
😱😱😱😱 https://t.co/CyPB2QvlOB
- Sep 11, 202635x their median
Feels like getting to Australia early might’ve been the right play
- Sep 13, 202628x their median
What a day in Austin. I had 100% planned on picking Ohio State.. Then when I got to campus this morning, it felt special.. The crowd was DEEP and very active for GameDay in some obnoxious heat.. Sark seemed very calm and confident when he stopped by the set.. Connor made the $1,200,000 kick.. then on top of all of that, they sent a flyover for the pick 🇺🇸🇺🇸 It felt like the Football Gods were telling me Texas.. Changed my mind in real time. WHAT A GAME and WHAT AN HONOR to be able to be in this beautiful College Football world Every week provides absolute chaos. I LOVE IT. 🗣🗣 CHEERS
- Sep 26, 202627x their median
Damn https://t.co/Kdv2pWovHb
- Oct 18, 202627x their median
College Football is the greatest.
- Oct 10, 202625x their median
https://t.co/BSMOJ7yjRC
- Oct 11, 202624x their median
WHAT AN ABSOLUTELY GLORIOUS WIN FOR KENTUCKY
- Oct 15, 202622x their median
"I had a calf injury that ended up being a pulmonary embolism.. The blood clots left my calf & got into my bloodstream.. They went thru my heart & ended up in my lungs.. I've been on blood thinners ever since & I'll be on them for the rest of my life" ~ @KirkHerbstreit #PMSLive
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 643 interactions against 3.4M followers, an engagement rate of 0.019%. Measured over 541 original posts, its engagement rate beats 43% of 20,182 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 97K times each, and 0.664% of those impressions turn into an interaction. That is about 2.85% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 27 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 17:00 UTC, and Tuesday is the busiest day of the week. Of the 541 posts sampled, 97% carry an image or video. The account's strongest tracked post pulled 49K interactions, about 76x its own typical post. Recurring topics include #pmslive, #collegegameday, #mondaynightcountdown.
- What is Pat McAfee's engagement rate on X?
- Pat McAfee (@PatMcAfeeShow) has an engagement rate of 0.019%, based on the median interactions across 541 original posts from the last 30 days against 3,400,308 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.019%, Pat McAfee sits above the 10th percentile of the 204,491 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 @PatMcAfeeShow have real engagement?
- Its engagement rate beats 43% of the tracked X accounts closest to it in follower count (20,182 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 @PatMcAfeeShow post?
- Most posts go out around 17:00 UTC, and Tuesday is its busiest day, at roughly 26.97 posts per day across the measured window.