Trevor Bauer (トレバー・バウアー) engagement report
@BauerOutage - 586K followers on X
Measured over 4 original posts from a 30-day window, last computed on October 9, 2026.
Engagement
Early reading. We have captured 4 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.
A typical post picks up 236 interactions against 586K followers, an engagement rate of 0.04%. Posts are seen about 38K times each, and 0.624% of those impressions turn into an interaction. That is about 6.45% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.13 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 17:00 UTC, and Monday is the busiest day of the week. Of the 4 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 3.4K interactions, about 14x its own typical post. Only 4 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
Measured over 4 original posts from a 30-day window, last computed on October 9, 2026.
Where this sits in the catalog
At 0.04%, Trevor Bauer (トレバー・バウアー) sits above the 25th percentile of the 212,482 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.146%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.146% |
| 75th percentile | 0.696% |
| 90th percentile | 2.61% |
| 99th percentile | 82.9% |
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 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 | 0% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | -8% | -9% to -7% | 41K |
- 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.
- 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 45 characters, which falls in the under 80 characters band. Across the catalog, posts under 80 characters run 8% 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 14, 202614x their median
Career Update https://t.co/DQx3tVH5QZ
- Jul 9, 20262.2x their median
Shane Bieber never looked like an ace. 91-93 mph, no electric stuff. But he won a Cy Young. Here's why that makes sense. Most people think you need to throw hard or have nasty stuff to make it to the big leagues. That's not the only path. The real question is: what elite tool do you have? For Bieber, it was command. He never walks anybody. That's not a small thing — that's an elite weapon. Pair that with good pitch shapes and you have a real pitcher, even without the velocity. The honest projection on him coming up was probably a 3 or 4 ERA guy. A solid mid-rotation starter. Nobody was calling him a future ace. But then something happened. He added velocity. He added more pitch shapes. He developed. And when you stack elite command on top of improved stuff, you get a Cy Young winner. The lesson here isn't "just throw hard" or "just have good command." It's that you need at least ONE elite tool to have a path. And the fastest path to the big leagues should run through whatever that tool is. If your one elite tool is velocity, stop trying to develop four average pitches. Throw 100 and get there. If your one elite tool is command, build around that. The shapes matter more when you can actually locate them. Bieber is proof that you don't need to look the part. You need to have a real tool and know how to use it.
- Jul 22, 20262.4x their median
Most pitchers try to get every hitter out. That's the wrong way to think about it. There are two types of at-bats: ones where you're trying to get the guy out, and ones where you're letting him get himself out — or just flat-out giving him a base. I'll bounce four curveballs in a row if I have to. Walk the guy. Don't care. Because I already know who's on deck and I like that matchup better. Here's how I actually think through a jam: First and second, nobody out. Most guys panic. I don't see three outs to get — I see four hitters to work through to find three outs. That's a completely different frame. Say three, four, five are coming up. The five hitter is my worst matchup. So I go hard at three and four. I need two outs before I get to five, so I can put him on with the bases loaded and attack the six hitter instead. I'm essentially choosing who I want to beat me. And then I'm making sure that guy never gets a real chance to do it. Most hitters and fans think pitchers are just reacting pitch by pitch. Some are. The good ones are three batters ahead, already deciding who gets a free pass and who gets attacked. Knowing the lineup isn't optional. It's the whole game.
- Aug 21, 20262.0x their median
3 Strikeouts In Just 11 Pitches https://t.co/14l9lMkpXC
- Jul 18, 2026
I’ll Never Forget This Umpire https://t.co/20jns0wNF2
- Jul 9, 2026
The Most Stacked College Roster Ever https://t.co/Fn807JtTWH
- Jul 16, 2026
My First Sword in Mexico https://t.co/TJwLqsvpyf
- Sep 17, 2026
How Did He Catch This? https://t.co/829PDmwEKA
- Jul 8, 2026
Should I Coach College Baseball? https://t.co/6u9WjnGRlk
- Jul 7, 2026
Baseball Is Nothing Without Fans https://t.co/XaWJUA6ZMn
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 Twitter (X) accounts - escrow-protected
PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.
Reading these numbers
A typical post picks up 236 interactions against 586K followers, an engagement rate of 0.04%. Posts are seen about 38K times each, and 0.624% of those impressions turn into an interaction. That is about 6.45% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.13 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 17:00 UTC, and Monday is the busiest day of the week. Of the 4 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 3.4K interactions, about 14x its own typical post. Only 4 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
- What is Trevor Bauer (トレバー・バウアー)'s engagement rate on X?
- Trevor Bauer (トレバー・バウアー) (@BauerOutage) has an engagement rate of 0.04%, based on the median interactions across 4 original posts from the last 30 days against 586,360 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.04%, Trevor Bauer (トレバー・バウアー) sits above the 25th percentile of the 212,482 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 @BauerOutage have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @BauerOutage post?
- Most posts go out around 17:00 UTC, and Monday is its busiest day, at roughly 0.13 posts per day across the measured window.