Best MLB Hits Matchups — Saturday, June 27, 2026
Top hits spot: Jonathan Aranda
Jonathan Aranda (TB) tops the board at 100, facing RHP Jose Cabrera. The lefty is hitting .251 H/PA against righties this year — and .389 over the last two weeks, an excellent bat that turns into a hit in about 28% of his trips. And Jose Cabrera has been thin against righties lately. The bullpen behind him is roughly average to that side. He's hitting in a spot worth about 4.5 trips, so the volume's there. No real history against Jose Cabrera. It all sets up in a neutral park.
The rest of the top of the board
- Casey Schmitt (SF) (100) vs RHP Bryce Elder: a strong bat at .270 into an arm getting tattooed by the same side (.368).
- Donovan Walton (LAA) (100) vs RHP Jack Perkins: an elite bat at .300 into an arm getting tattooed by the same side (.320), hot bat.
- Luis Arraez (SF) (100) vs RHP Bryce Elder: an excellent bat at .281 into an arm getting tattooed by the same side (.405).
- Paul Goldschmidt (NYY) (97) vs LHP Jake Bennett: an elite bat at .302 into an arm with little track record against the same side.
- Yandy Díaz (TB) (97) vs RHP Jose Cabrera: an excellent bat at .287 into an arm with little track record against the same side.
- Byron Buxton (MIN) (96) vs RHP Michael Lorenzen: an excellent bat at .277 into an arm getting tattooed by the same side (.294).
- Sam Antonacci (CWS) (95) vs RHP Michael Wacha: a strong bat at .262 into an arm getting tattooed by the same side (.385).
Pitchers getting tattooed today
- RHP Cole Sulser has been getting tattooed by righties — .307 hits per batter faced. Bats to target: Gabriel Moreno (AZ), Ketel Marte (AZ), and Corbin Carroll (AZ).
- RHP Bryce Elder has been vulnerable to righties — .278 hits per batter faced. Bats to target: Casey Schmitt (SF), Luis Arraez (SF), and Jung Hoo Lee (SF).
- RHP Jared Jones has been vulnerable to righties — .269 hits per batter faced. Bats to target: Elly De La Cruz (CIN), Nathaniel Lowe (CIN), and JJ Bleday (CIN).
- RHP Ryan Gusto has been vulnerable to righties — .262 hits per batter faced. Bats to target: JJ Wetherholt (STL), Alec Burleson (STL), and Iván Herrera (STL).
Platoon edges to target
- Jonathan Aranda (TB) — lefty bat vs RHP, .251 against righties this year.
- Donovan Walton (LAA) — lefty bat vs RHP, .329 against righties this year.
- Luis Arraez (SF) — lefty bat vs RHP, .300 against righties this year.
- Paul Goldschmidt (NYY) — righty bat vs LHP, .347 against lefties this year.
- Sam Antonacci (CWS) — lefty bat vs RHP, .278 against righties this year.
Hot bats and bounce-back spots
Swinging hot bats: Jonathan Aranda (TB), Donovan Walton (LAA), Jake McCarthy (COL), Bo Bichette (NYM), Xavier Edwards (MIA), and Carter Jensen (KC). Cold but due to bounce back: JJ Wetherholt (STL), Mark Vientos (NYM), Ben Rice (NYY), Cody Bellinger (NYY), and Masataka Yoshida (BOS).
How it played out
7 of the top 10 hits matchups landed at least one hit. Top play Jonathan Aranda finished with 1 hit. We post the result next to every projection so you can grade the board yourself — and so the model gets re-tuned against what actually happened.
How to read these hits matchups
Each score (0–100) starts with the hitter's hits per plate appearance against the hand he's facing — weighted toward the last two weeks, then the season, then a two-year baseline. Then it layers in the bullpen, his spot in the order, and park and weather. Higher means more of it points his way. It's context, not a lock — a great spot still goes 0-for-4 sometimes, and a tough one runs into one. The edge is in stacking the odds, and since we grade every board, you can see how often the top of the list delivers.
What the hits board is
The Hits board projects the chance a hitter records at least one hit, matchup-adjusted. One statistical model scores every matchup on the slate the same way — a star and a backup judged on the matchup in front of them, not their name — and every number is graded against the real box score once the games go final.
How the model gets its number
It isn't a gut call or a name game. The projection is built from a few things:
- The hitter's contact rate vs this pitcher's hand.
- The starter's hit-suppression and the park.
- Recent form, without over-reacting to a hot or cold week.
Those pieces combine into one number, and the model re-tunes itself weekly against how its past calls actually landed.
Is there a betting edge here?
Hits is an efficient market — the book prices a 1+ hit line about as well as we do, so we publish our number as graded transparency, not a play. Our projection is sharp (the ranking is well-calibrated); the book just isn't leaving room on it.
How to use it
Use it to see who the model likes to square one up, and how that squares with the price — but there's no systematic edge here, so treat it as research, not a lean.
Everything here is a research signal from the model, graded in public — not betting advice, and no outcome is guaranteed.
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