Pitch Profiler ✓
@pitchprofiler · United States · joined 16 Aug 2011
Advanced Pitching Analytics since 2019 • Trusted by MLB World Series Champions & NCAA DIV I MCWS Participants • Patreon: https://t.co/CJMU1Xn43N
34 769Followers
600Following
27 522Posts total
207.1KViews on collected posts
Latest posts
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Jonah Tong was able to put a great start together tonight going six innings without allowing an earned run!
The ability to execute his pitches was huge tonight as it led him to six strikeouts and only one walk. https://t.co/GptTfC5kHK
4.8K views · 97 likes
· 4 reposts · 0 replies
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And as we get closer to the postseason, Tarik Skubal decides it’s time to unleash the best start of his Dodgers career!
Postseason Skubal is loading… https://t.co/SF8Ha6ydOf
5.1K views · 122 likes
· 9 reposts · 0 replies
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Adrian Morejon and Tanner Scott share the best executed reliever season at a 121 proPitching+. Morejon backs it with a 2.79 ERA and 100 K in 80.2 IP, Scott a 2.91 ERA with 73 K. Louis Varland is right there at 117. https://t.co/afAmojrZl7
2.6K views · 16 likes
· 2 reposts · 0 replies
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0:45
Mason Miller's stuff is downright unfair this year, a 118 proStuff+ leading all relievers with a 1.14 ERA and 0.85 WHIP to back it up. Louis Varland grades next at 114, Trevor Megill at 113. https://t.co/Lc4TvusmgV
3.2K views · 13 likes
· 0 reposts · 0 replies
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0:45
Pitch Profiler started in a basement in 2019 as a script trying to figure out what makes a pitch work. Seven years later, it's something people actually rely on, and it wouldn't exist without all of you.
Baseball is back. Go check out who's throwing today.
1.5K views · 9 likes
· 0 reposts · 1 replies
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To celebrate the launch, use code ST2026 for 20% off your first month or year.
MLB ($10/mo): Game Summaries, Season Summaries, PNG downloads, and every new page as it ships.
All-Star ($15/mo): Everything in MLB plus full API access.
Player Development ($20/mo): Trackman Report
1.7K views · 4 likes
· 0 reposts · 1 replies
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This is just the foundation. Rolling out over the coming weeks:
• Arsenal Interactions
• Dynamic Dead Zone
• Movement Components
• Pitcher & Pitch Leaderboards
• 3D pitch trajectories
Each one ships as it's ready.
592 views · 5 likes
· 0 reposts · 1 replies
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The All-Star tier ($15/mo) includes full API access to pitch-level data with proStuff+ scores.
No other platform in this space offers a developer API at any price. If you build tools, run fantasy models, or create content, this is for you. https://t.co/f0uZngqt8U
621 views · 10 likes
· 0 reposts · 1 replies
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Every Game Summary and Season Summary can be downloaded as a PNG. Share reports on social, send them to coaches, drop them in group chats. https://t.co/gq3cXAZfrO
656 views · 6 likes
· 0 reposts · 1 replies
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The models behind all of this are LightGBM ensembles that predict swing/take decisions, swing outcomes, take outcomes, and batted-ball run values.
proStuff+ uses acceleration-based movement instead of traditional break, putting all pitches on equal footing regardless of https://
708 views · 6 likes
· 0 reposts · 1 replies
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Coaches and player development staff can upload Trackman CSVs and get Stuff+ predictions and a full report for every pitch.
No other platform lets you bring your own data and run inference on it. https://t.co/68nPNfNKBJ
762 views · 6 likes
· 0 reposts · 1 replies
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Season Summaries show the full-season view of a pitcher's arsenal. How each pitch performed across the year, with proStuff+, proPitching+, proLocation+, and all the underlying metrics.
This is the page you'll use most when evaluating a pitcher. https://t.co/ERSxvZ68we
833 views · 9 likes
· 0 reposts · 1 replies
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Game Summaries break down every pitch a starter or reliever threw in a given game. Velocity, movement, pitch usage, proStuff+ scores, and results, all in one place.
Pull up any game from the current season and get the full picture of how a pitcher attacked hitters that day. http
933 views · 7 likes
· 1 reposts · 1 replies
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The old Dash app was slow. Pages took forever, navigating between pitchers was painful, and mobile didn't really work.
The entire thing has been rebuilt from scratch. New tech stack, new UI, new everything. Same analytics under the hood. https://t.co/m8jK0zDtYv
1K views · 7 likes
· 0 reposts · 1 replies
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That script landed a job interview. A printed-out Max Scherzer report walked in as the resume.
Over the next few years, Pitch Profiler went from terminal output to Word doc reports to a Python-Dash website to the pitch modeling metrics thousands of people use today. Long road. h
2.1K views · 11 likes
· 0 reposts · 1 replies
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The first version was just a Pandas DataFrame. No website, no models. Just numbers after every game, hoping someone would notice.
Then Pitching Ninja retweeted one. That was the moment Pitch Profiler stopped being a side project. https://t.co/5YZwpbcl56
2K views · 16 likes
· 0 reposts · 1 replies
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It started in August 2019 as a Python script in a basement. Fresh out of college, no job, just a script that scraped Baseball Savant and spit pitch metrics into a terminal window.
The plan was to quote-tweet pitching videos with real data and hope something stuck. https://t.co/a
2.4K views · 17 likes
· 0 reposts · 1 replies
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Baseball is back today. So is Pitch Profiler, completely rebuilt from the ground up.
Fresh look, better mobile support, and a whole lot faster.
Here's what changed🧵 https://t.co/8pA7aojmzu
175.1K views · 318 likes
· 18 reposts · 10 replies
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Against accounts of the same size
4 posts from the last 90 days, next to the 10K–100K follower range. shown to more people than peers of the same size.
Median views3 988this account972median for 10K–100K
Reach, %11.47%this account3.58%median for 10K–100K
Engagement, %1.40%this account1.60%median for 10K–100K
| Metric | This account | Median for 10K–100K | Ratio |
|---|---|---|---|
| Median views per post | 3 988 | 972 | 4.10× |
| Reach (views ÷ followers) | 11.47% | 3.58% | 3.20× |
| Engagement rate | 1.40% | 1.60% | 0.87× |
Others in this range → Compare with another account → How these benchmarks are built →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
93320 Feb
833
762
708
656
621
592
1.7K
1.5K
620
3.2K14 Sep
2.6K
5.1K15 Sep
4.8K
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.96%20 Feb
1.20%
0.92%
0.99%
1.07%
1.77%
1.01%
0.30%
0.65%
0.65%
0.41%14 Sep
0.70%
2.57%15 Sep
2.09%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.60%.
What the audience does
Likes82.5%683 in total
Reposts4.1%34 in total
Replies2.8%23 in total
Bookmarks10.6%88 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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