Best MLB Hits Matchups — Sunday, June 14, 2026
Top hits spot: Jackson Chourio
Jackson Chourio (MIL) tops the board at 100, facing LHP Cristopher Sánchez. The righty is hitting .359 H/PA against lefties this year — and .643 over the last two weeks, an elite bat that turns into a hit in about 31% of his trips. And Cristopher Sánchez has been tough on lefties lately — .158 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 4.7 trips, so the volume's there. He's just .000 in 2 career PA against Cristopher Sánchez, but that's a tiny sample and the matchup says regression. It all sets up in a neutral park, though the weather fights it.
The rest of the top of the board
- Paul Goldschmidt (NYY) (99) vs LHP Patrick Corbin: an excellent bat at .299 into an arm giving up plenty to the same side (.259), hot bat.
- Fernando Tatis Jr. (SD) (93) vs LHP Trevor Rogers: a strong bat at .259 into an arm giving up plenty to the same side (.257).
- Alec Burleson (STL) (92) vs RHP Taj Bradley: an excellent bat at .292 into an arm vulnerable to the same side (.281), hot bat.
- Willi Castro (COL) (92) vs LHP Jeffrey Springs: a strong bat at .256 into an arm getting tattooed by the same side (.407).
- Pete Crow-Armstrong (CHC) (88) vs RHP Logan Webb: an excellent bat at .277 into an arm tough on the same side (.158).
- Otto Lopez (MIA) (87) vs RHP Paul Skenes: an excellent bat at .279 into an arm tough on the same side (.192), hot bat.
- Andrew Vaughn (MIL) (87) vs LHP Cristopher Sánchez: an elite bat at .311 into an arm tough on the same side (.158).
Pitchers getting tattooed today
- RHP Zac Gallen has been vulnerable to righties — .286 hits per batter faced. Bats to target: JJ Bleday (CIN), Blake Dunn (CIN), and Sal Stewart (CIN).
- LHP Jeffrey Springs has been vulnerable to lefties — .265 hits per batter faced. Bats to target: Willi Castro (COL), Tyler Freeman (COL), and TJ Rumfield (COL).
Platoon edges to target
- Jackson Chourio (MIL) — righty bat vs LHP, .359 against lefties this year.
- Paul Goldschmidt (NYY) — righty bat vs LHP, .329 against lefties this year.
- Fernando Tatis Jr. (SD) — righty bat vs LHP, .293 against lefties this year.
- Alec Burleson (STL) — lefty bat vs RHP, .290 against righties this year.
- Willi Castro (COL) — righty bat vs LHP, .309 against lefties this year.
Hot bats and bounce-back spots
Swinging hot bats: Jackson Chourio (MIL), Paul Goldschmidt (NYY), Alec Burleson (STL), Otto Lopez (MIA), Shohei Ohtani (LAD), and Nick Kurtz (ATH). Cold but due to bounce back: Carlos Cortes (ATH), Trevor Larnach (MIN), Wade Meckler (LAA), Hunter Goodman (COL), and Carson Benge (NYM).
How it played out
8 of the top 10 hits matchups landed at least one hit. Top play Jackson Chourio 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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