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Trevor Bauer (トレバー・バウアー) engagement report

@BauerOutage - 590K followers on X

Measured over 4 original posts from a 30-day window, last computed on August 26, 2026.

Engagement

Per follower
0.032%
of 590K followers
Per impression
0.539%
35K views on a typical post
Reach
5.92%
of its followers see a post
Typical post
188
interactions (median)
Saved
0.033%
12 bookmarks on a typical post
Posting rate
0.23/day
active 17% of days
Peak time
17:00 UTC
Sunday

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 188 interactions against 590K followers, an engagement rate of 0.032%. Posts are seen about 35K times each, and 0.539% of those impressions turn into an interaction. That is about 5.92% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.23 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 17:00 UTC, and Sunday is the busiest day of the week. Of the 4 posts sampled, 75% carry an image or video. The account's strongest tracked post pulled 1.0K interactions, about 5.4x 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 August 26, 2026.

Where this sits in the catalog

At 0.032%, Trevor Bauer (トレバー・バウアー) sits above the 25th percentile of the 37,701 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.081%.

p100.002%
p250.012%
p50 (median)0.081%
p750.439%
p902.10%
p99156.3%
Engagement rate as a share of followers, across the 37,701 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 104,204 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.002%
25th percentile0.012%
50th percentile0.081%
75th percentile0.439%
90th percentile2.10%
99th percentile156.3%

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 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.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 17:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 17:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%53K
01:00 UTC-2%53K
02:00 UTC-3%52K
03:00 UTC-4%55K
04:00 UTC-6%44K
05:00 UTC-4%43K
06:00 UTC-4%50K
07:00 UTC-5%54K
08:00 UTC-4%63K
09:00 UTC-3%72K
10:00 UTC-2%75K
11:00 UTC-3%81K
12:00 UTC-2%90K
13:00 UTC-2%98K
14:00 UTC-3%101K
15:00 UTC-2%105K
16:00 UTC-4%102K
17:00 UTC-3%95K
18:00 UTC-1%88K
19:00 UTC-2%83K
20:00 UTC-1%77K
21:00 UTC-1%69K
22:00 UTC-2%60K
23:00 UTC-2%53K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Sunday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%238K
Monday0%302K
Tuesday-3%302K
Wednesday-1%257K
Thursday-2%250K
Friday-3%259K
Saturday+3%233K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Jul 9, 20265.4x 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.

    911375915234K viewsView on X
  • Jul 22, 20263.0x 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.

    5153511367K viewsView on X
  • Aug 21, 20262.4x their median

    3 Strikeouts In Just 11 Pitches https://t.co/14l9lMkpXC

    4122121243K viewsView on X
  • Jul 18, 20261.9x their median

    I’ll Never Forget This Umpire https://t.co/20jns0wNF2

    337134050K viewsView on X
  • Jul 9, 20261.8x their median

    The Most Stacked College Roster Ever https://t.co/Fn807JtTWH

    32386078K viewsView on X
  • Jul 16, 20261.8x their median

    My First Sword in Mexico https://t.co/TJwLqsvpyf

    306185042K viewsView on X
  • Jul 8, 2026

    Should I Coach College Baseball? https://t.co/6u9WjnGRlk

    2421116131K viewsView on X
  • Jul 17, 2026

    One Fix for a Better Fastball https://t.co/Of7elMszlx

    228114037K viewsView on X
  • Jul 7, 2026

    Baseball Is Nothing Without Fans https://t.co/XaWJUA6ZMn

    225105125K viewsView on X
  • Aug 22, 2026

    I Have To Get This Out https://t.co/Buxw6A6ZiS

    167228026K viewsView on X

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 188 interactions against 590K followers, an engagement rate of 0.032%. Posts are seen about 35K times each, and 0.539% of those impressions turn into an interaction. That is about 5.92% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.23 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 17:00 UTC, and Sunday is the busiest day of the week. Of the 4 posts sampled, 75% carry an image or video. The account's strongest tracked post pulled 1.0K interactions, about 5.4x 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 0.032%, based on the median interactions across 4 original posts from the last 30 days against 590,127 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.032%, Trevor Bauer (トレバー・バウアー) sits above the 25th percentile of the 37,701 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 Sunday is its busiest day, at roughly 0.23 posts per day across the measured window.

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