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Keoughs Computations @KeoComputations

Baseball Ratings

Joined February 2022
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Keoughs Computations@KeoComputations
23 Jul 2025
Made Preseason #D1Baseball Under the Radar Predictions for hitters in this year's #MLBDraft. Went 2 for 5. If you want to see my rationale, click on the link below. Like I've said before, hope to make predictions again next year & years to come! keoughscomputations.blogspot…
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I will not be posting new content for the 2026 season & beyond. Simply do not have the same spare time that allowed me to produce (what I thought was) quality work. I'll still keep my formulas & leaderboards up on my website if you want to check it out. Thank you for the support!
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Starting a 🧵on #D1Baseball hitters I like going into the 2026 season. These hitters are not MLB Pipeline Top 100 (as of January 5th), but profile as #MLBDraft26 Day 2 (Rounds 4-20) selections. New this year are archetypes based on my ratings going back to 2022. Here they are! 🔽
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4) Junior CF Oklahoma Jason Walk Toolsy switch hitting CF who has a well-rounded offensive profile paired w/ wheels. With added upper body muscle, Walk could turn into an absolute monster. Comp: A more productive Eddie King Jr. (#LetsGoBucs 2025 16th Rd)
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5) Non-C/SS/CF Young Junior San Diego State LF Adam Magpoc Speedy switch hitting utility type who led the Cape in SB last year. Walks @ at above average rate & could carve out a nice role in pro ball Player Comp: Less productive Dylan Campbell (#LetsGoDodgers 2023 4th Rd)
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Keoughs Computations retweeted
landon@landon_bsbl
27 Dec 2025
My Top 100 College Prospects for the 2026 MLB Draft Big expansion from 30 to 100 since the first rendition with an hour of reading material. Hope you enjoy! medium.com/@landon_abl/top-1…

Top 100 College Prospects — MLB Draft (December Update)

What better way to reel in the new year than to go over my top 100 college prospects for the 2026 MLB draft! Expanded from 30 to 100 from…

medium.com
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Working on Full Season #MiLB Heatmaps. Location data is not standardized, but gives you a good idea about where a guy throws. Strike zone is guesstimated based on 2025 data. New #ForTheLou pitching prospect Yhoiker Fajardo is test subject for today
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Pretty cool to see Ojeda on the Top 100 #MLBDraft Prospects list for @MLBPipeline (see quoted tweet). 1st 🖼️ is a Contact vs. OPS scatterplot for last year's #D1Baseball stats. Other 2 🖼️ are Movement plots based on data from last year's Draft Cycle, though less comprehensive
Keoughs Computations@KeoComputations
19 Sep 2025
Hitting is usually my domain, but I'll put UC Irvine LHP Ricky Ojeda on my 2026 #MLBDraft favorites. Elite extension paired w/ a high ride FB. Great #D1Baseball track record to pair with 3 2/3 scoreless innings for USA College team against Japan in summer. Young for a 2026 Junior
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Expanded #MiLB leaderboards by reducing PA threshold from 350 to 300. Here are some Power/Speed scatterplots of SS & CF who wouldn't have qualified for the old leaderboard. Reminder you can use these interactive scatterplots (& interactive table) here 👇keoughscomputations.blogspot…
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Cool #MiLB scatterplot to showing relationship between contact & OPS among SS in A (age 21 or younger). Names like Konnor Griffin, Jackson Holliday, Elly De La Cruz, etc. are standouts. A player comparison example: Franklin Arias -> Jackson Merrill w/ less production. Thoughts?
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Keoughs Computations retweeted
Oyster Analytics@oysteranalytics
21 Nov 2025
As we continue to showcase our Next Gen Oyster Model, take a look at this comparison between two toolshed prospects! We love them both, but De Vries has shown an improved ability to tap into his raw power. Check out our piece on the new model: downonthefarm.substack.com/p…
Side-by-side Oyster Analytics comparison card for shortstops Leo De Vries (Athletics) and Sebastian Walcott (Rangers). At the top, both show extremely strong model projections: De Vries with a 99% chance to be a Contributor, 98% Regular, and 91% Star; Walcott at 98% Contributor, 98% Regular, and 93% Star. Center radar chart compares relative stats in standard deviations from league average. De Vries (green outline) is ahead in Development Speed, Lift, Home-run Power, and Gap Power, sitting well above average on all four. Walcott (red outline) has the edge in Contact and slightly better plate discipline/strikeout avoidance, with his polygon sticking farther out on those axes. Both are comfortably above average almost everywhere, with no glaring holes. Bottom line chart shows career outcome probabilities vs prime WAR per season. The green line for De Vries stays above the red line for Walcott at nearly every WAR level: both are near 100% to clear replacement level, but De Vries carries

ALT Side-by-side Oyster Analytics comparison card for shortstops Leo De Vries (Athletics) and Sebastian Walcott (Rangers). At the top, both show extremely strong model projections: De Vries with a 99% chance to be a Contributor, 98% Regular, and 91% Star; Walcott at 98% Contributor, 98% Regular, and 93% Star. Center radar chart compares relative stats in standard deviations from league average. De Vries (green outline) is ahead in Development Speed, Lift, Home-run Power, and Gap Power, sitting well above average on all four. Walcott (red outline) has the edge in Contact and slightly better plate discipline/strikeout avoidance, with his polygon sticking farther out on those axes. Both are comfortably above average almost everywhere, with no glaring holes. Bottom line chart shows career outcome probabilities vs prime WAR per season. The green line for De Vries stays above the red line for Walcott at nearly every WAR level: both are near 100% to clear replacement level, but De Vries carries
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More visualization improvements coming, this time in the filter department. My idea is interchangeable X/Y axis for scatterplots. Right now, you can only do HIT vs. RUN tool comparison. This update will allow any rating to be compared (examples below). Let me know what you think!
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Pretty cool to see my early coverage of a new Silver Slugger award winner! Predictions/projections are super difficult for #MiLB players with how long they take to come true (or not). I've certainly got plenty wrong (and will continue to do so), but it's nice to celebrate this W
Keoughs Computations@KeoComputations
15 Jun 2022
Hunter Goodman hitting absolute 💣 at the A level. His 99 projected HRPWR is tied with Ezequiel Tovar for best in Rockies farm system. Also earned a 99.6 HRPWR rating in college last year. Keep an eye on this guy! #Rockies
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Expanded #D1Baseball Leaderboards back to 2022 & having fun messing w/ data. Below are Soph SS who were not #MLBDraft eligible that season. 1) Jacob Wilson was insane 2) Roch Cholowsky has 2nd best HIT tool 3) Alex Alicea has best RUN tool Pretty cool past/present comparisons!
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Trying to improve content & visualizations might be it! 1st 🖼️: MLB Pipeline's Top 100 2nd 🖼️: 2025 #MLBDraft Top 5 Round Picks 3rd 🖼️: #MLBDraft26 & '27 SS Prospects All graphs are interactive & available via link below, so let me know what you think! keoughscomputations.blogspot…
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With the conclusion of the 2025 #MiLB season, my hitter ratings are now complete & combined w/ the ratings that go back to 2022. Players need 350 full season PA to qualify. 1st picture is 2025 Top 20, 2nd is Top 20 "all-time". You can see full dashboard @ keoughscomputations.blogspot…
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Hitting is usually my domain, but I'll put UC Irvine LHP Ricky Ojeda on my 2026 #MLBDraft favorites. Elite extension paired w/ a high ride FB. Great #D1Baseball track record to pair with 3 2/3 scoreless innings for USA College team against Japan in summer. Young for a 2026 Junior
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Top 80 #MiLB Hitters (350 PA to Qualify)
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