Best MLB Hits Matchups — Wednesday, June 17, 2026
Top hits spot: Paul Goldschmidt
Paul Goldschmidt (NYY) tops the board at 100, facing LHP Anthony Kay. The righty is hitting .347 H/PA against lefties this year — and .600 over the last two weeks, an elite bat that turns into a hit in about 31% of his trips. And Anthony Kay has been giving up plenty to lefties lately — .250 hits per batter faced. The bullpen behind him is roughly average to that side. He's hitting in a spot worth about 4.7 trips, so the volume's there. No real history against Anthony Kay. It all sets up in a neutral park.
The rest of the top of the board
- Liam Hicks (MIA) (81) vs RHP Andrew Painter: a strong bat at .254 into an arm getting tattooed by the same side (.340), hot bat.
- Yandy Díaz (TB) (78) vs RHP Shohei Ohtani: an excellent bat at .277 into an arm with little track record against the same side.
- Samad Taylor (SD) (77) vs RHP Kyle Leahy: a strong bat at .262 into an arm getting tattooed by the same side (.400), hot bat.
- Pete Crow-Armstrong (CHC) (77) vs LHP Sean Sullivan: a strong bat at .250 into an arm with little track record against the same side, hot bat.
- Nico Hoerner (CHC) (75) vs LHP Sean Sullivan: a strong bat at .257 into an arm with little track record against the same side, due to bounce back.
- Otto Lopez (MIA) (74) vs RHP Andrew Painter: an excellent bat at .282 into an arm tough on the same side (.200).
- Dillon Dingler (DET) (74) vs RHP Peter Lambert: an excellent bat at .277 into an arm getting tattooed by the same side (.294).
Pitchers getting tattooed today
- RHP Andrew Painter has been vulnerable to righties — .281 hits per batter faced. Bats to target: Liam Hicks (MIA), Otto Lopez (MIA), and Xavier Edwards (MIA).
- LHP Nick Lodolo has been vulnerable to lefties — .281 hits per batter faced. Bats to target: Carson Benge (NYM), Juan Soto (NYM), and Bo Bichette (NYM).
- RHP George Kirby has been vulnerable to righties — .273 hits per batter faced. Bats to target: Pete Alonso (BAL), Taylor Ward (BAL), and Gunnar Henderson (BAL).
- RHP Peter Lambert has been vulnerable to righties — .272 hits per batter faced. Bats to target: Dillon Dingler (DET), Spencer Torkelson (DET), and Riley Greene (DET).
Platoon edges to target
- Paul Goldschmidt (NYY) — righty bat vs LHP, .347 against lefties this year.
- Liam Hicks (MIA) — lefty bat vs RHP, .256 against righties this year.
- Nico Hoerner (CHC) — righty bat vs LHP, .261 against lefties this year.
- Alec Burleson (STL) — lefty bat vs RHP, .290 against righties this year.
- Dominic Canzone (SEA) — lefty bat vs RHP, .267 against righties this year.
Hot bats and bounce-back spots
Swinging hot bats: Paul Goldschmidt (NYY), Liam Hicks (MIA), Samad Taylor (SD), Pete Crow-Armstrong (CHC), Alec Burleson (STL), and Dominic Canzone (SEA). Cold but due to bounce back: Nico Hoerner (CHC), Ozzie Albies (ATL), Iván Herrera (STL), Nick Gonzales (PIT), and Trea Turner (PHI).
How it played out
9 of the top 10 hits matchups landed at least one hit. Top play Paul Goldschmidt finished with 2 hits. 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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