Best MLB Hits Matchups — Tuesday, June 16, 2026
Top hits spot: Otto Lopez
Otto Lopez (MIA) tops the board at 100, facing LHP Jesús Luzardo. The righty is hitting .457 H/PA against lefties this year — and .400 over the last two weeks, an elite bat that turns into a hit in about 30% of his trips. And Jesús Luzardo has been giving up plenty to lefties lately — .243 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 15 career PA against Jesús Luzardo, 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
- Pete Crow-Armstrong (CHC) (96) vs RHP Ryan Feltner: a strong bat at .270 into an arm tough on the same side (.160), hot bat.
- Jake McCarthy (COL) (92) vs RHP Edward Cabrera: a solid bat at .244 into an arm getting tattooed by the same side (.357), hot bat.
- Jackson Chourio (MIL) (91) vs RHP Slade Cecconi: a strong bat at .266 into an arm giving up plenty to the same side (.250), hot bat.
- Alec Burleson (STL) (88) vs RHP Michael King: an excellent bat at .288 into an arm mostly holding up against the same side (.217), hot bat.
- Troy Johnston (COL) (83) vs RHP Edward Cabrera: an excellent bat at .289 into an arm getting tattooed by the same side (.357).
- Ernie Clement (TOR) (83) vs LHP Payton Tolle: a strong bat at .266 into an arm getting tattooed by the same side (.333).
- James Wood (WSH) (82) vs RHP Michael Wacha: a solid bat at .237 into an arm getting tattooed by the same side (.333), hot bat.
Pitchers getting tattooed today
- RHP Edward Cabrera has been vulnerable to righties — .264 hits per batter faced. Bats to target: Jake McCarthy (COL), Troy Johnston (COL), and Willi Castro (COL).
- RHP Brady Singer has been vulnerable to righties — .263 hits per batter faced. Bats to target: Carson Benge (NYM), Bo Bichette (NYM), and Juan Soto (NYM).
- RHP Davis Martin has been vulnerable to righties — .260 hits per batter faced. Bats to target: Paul Goldschmidt (NYY), Ben Rice (NYY), and Cody Bellinger (NYY).
- RHP Slade Cecconi has been giving up plenty to righties — .260 hits per batter faced. Bats to target: Jackson Chourio (MIL), Christian Yelich (MIL), and William Contreras (MIL).
Platoon edges to target
- Otto Lopez (MIA) — righty bat vs LHP, .457 against lefties this year.
- Pete Crow-Armstrong (CHC) — lefty bat vs RHP, .233 against righties this year.
- Jake McCarthy (COL) — lefty bat vs RHP, .237 against righties this year.
- Alec Burleson (STL) — lefty bat vs RHP, .290 against righties this year.
- Troy Johnston (COL) — lefty bat vs RHP, .318 against righties this year.
Hot bats and bounce-back spots
Swinging hot bats: Pete Crow-Armstrong (CHC), Jake McCarthy (COL), Jackson Chourio (MIL), Alec Burleson (STL), James Wood (WSH), and Nick Kurtz (ATH). Cold but due to bounce back: Yandy Díaz (TB), Shohei Ohtani (LAD), Iván Herrera (STL), Nolan Schanuel (LAA), and Javier Sanoja (MIA).
How it played out
7 of the top 10 hits matchups landed at least one hit. Top play Otto Lopez 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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