Best MLB Hits Matchups — Sunday, June 28, 2026
Top hits spot: Nolan Schanuel
Nolan Schanuel (LAA) tops the board at 100, facing RHP Aaron Civale. The lefty is hitting .255 H/PA against righties this year — and .233 over the last two weeks, a solid bat that turns into a hit in about 24% of his trips. And Aaron Civale has been getting tattooed by righties lately — .409 hits per batter faced. One catch: the bullpen behind him has been stingy to that side late. He's hitting in a spot worth about 4.5 trips, so the volume's there. He's just .200 in 10 career PA against Aaron Civale, but that's a tiny sample and the matchup says regression. It all sets up in a neutral park, weather helping.
The rest of the top of the board
- Nate Eaton (BOS) (100) vs LHP Carlos Rodón: a solid bat at .240 into an arm getting tattooed by the same side (.355), due to bounce back.
- Ben Rice (NYY) (99) vs RHP Sonny Gray: a solid bat at .244 into an arm mostly holding up against the same side (.229), due to bounce back.
- Denzer Guzman (LAA) (98) vs RHP Aaron Civale: a strong bat at .258 into an arm getting tattooed by the same side (.375).
- Ceddanne Rafaela (BOS) (97) vs LHP Carlos Rodón: a strong bat at .261 into an arm getting tattooed by the same side (.355).
- Jonathan Aranda (TB) (94) vs RHP Merrill Kelly: an excellent bat at .279 into an arm getting tattooed by the same side (.348), hot bat.
- Freddie Freeman (LAD) (93) vs RHP Michael King: a strong bat at .267 into an arm mostly holding up against the same side (.233), hot bat.
- Yandy Díaz (TB) (92) vs RHP Merrill Kelly: an excellent bat at .286 into an arm getting tattooed by the same side (.333).
Pitchers getting tattooed today
- RHP Aaron Civale has been vulnerable to righties — .282 hits per batter faced. Bats to target: Nolan Schanuel (LAA), Denzer Guzman (LAA), and Jo Adell (LAA).
- RHP Zack Littell has been vulnerable to righties — .279 hits per batter faced. Bats to target: Adley Rutschman (BAL), Gunnar Henderson (BAL), and Samuel Basallo (BAL).
- RHP Shane Bieber has been vulnerable to righties — .274 hits per batter faced. Bats to target: Josh Jung (TEX), Jake Burger (TEX), and Joc Pederson (TEX).
- RHP Merrill Kelly has been giving up plenty to righties — .260 hits per batter faced. Bats to target: Jonathan Aranda (TB), Yandy Díaz (TB), and Junior Caminero (TB).
Platoon edges to target
- Nolan Schanuel (LAA) — lefty bat vs RHP, .255 against righties this year.
- Nate Eaton (BOS) — righty bat vs LHP, .200 against lefties this year.
- Ben Rice (NYY) — lefty bat vs RHP, .249 against righties this year.
- Ceddanne Rafaela (BOS) — righty bat vs LHP, .289 against lefties this year.
- Jonathan Aranda (TB) — lefty bat vs RHP, .251 against righties this year.
Hot bats and bounce-back spots
Swinging hot bats: Jonathan Aranda (TB), Freddie Freeman (LAD), Mauricio Dubón (ATL), Xavier Edwards (MIA), Luis Arraez (SF), and Konnor Griffin (PIT). Cold but due to bounce back: Nate Eaton (BOS), Ben Rice (NYY), Samad Taylor (SD), Jazz Chisholm Jr. (NYY), and Matt Chapman (SF).
How it played out
3 of the top 10 hits matchups landed at least one hit. Top play Nolan Schanuel 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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