Best MLB Hits Matchups — Wednesday, June 10, 2026
Top hits spot: Pete Crow-Armstrong
Pete Crow-Armstrong (CHC) tops the board at 100, facing RHP Michael Lorenzen. The lefty is hitting .214 H/PA against righties this year — and .366 over the last two weeks, a strong bat that turns into a hit in about 26% of his trips. And Michael Lorenzen has been getting tattooed by righties lately — .538 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 Michael Lorenzen. It all sets up in a hitter's park, weather helping.
The rest of the top of the board
- Moisés Ballesteros (CHC) (89) vs RHP Michael Lorenzen: a solid bat at .245 into an arm getting tattooed by the same side (.538), hitter's park.
- Ian Happ (CHC) (83) vs RHP Michael Lorenzen: a strong bat at .266 into an arm getting tattooed by the same side (.538), hitter's park.
- Michael Busch (CHC) (76) vs RHP Michael Lorenzen: a league-average bat at .223 into an arm getting tattooed by the same side (.538), hitter's park.
- Paul Goldschmidt (NYY) (76) vs LHP Parker Messick: an elite bat at .314 into an arm mostly holding up against the same side (.212).
- Casey Schmitt (SF) (75) vs LHP Foster Griffin: an excellent bat at .297 into an arm mostly holding up against the same side (.226).
- Shohei Ohtani (LAD) (75) vs RHP Jared Jones: a solid bat at .245 into an arm getting tattooed by the same side (.429).
- Willi Castro (COL) (72) vs LHP Shota Imanaga: a strong bat at .258 into an arm getting tattooed by the same side (.290), hitter's park.
Pitchers getting tattooed today
- RHP Michael Lorenzen has been getting tattooed by righties — .313 hits per batter faced. Bats to target: Pete Crow-Armstrong (CHC), Moisés Ballesteros (CHC), and Ian Happ (CHC).
- RHP Jared Jones has been vulnerable to righties — .290 hits per batter faced. Bats to target: Shohei Ohtani (LAD), Freddie Freeman (LAD), and Max Muncy (LAD).
- RHP Peter Lambert has been vulnerable to righties — .281 hits per batter faced. Bats to target: Zach Neto (LAA), Nick Madrigal (LAA), and Oswald Peraza (LAA).
- RHP Brandon Young has been vulnerable to righties — .276 hits per batter faced. Bats to target: Randy Arozarena (SEA), Julio Rodríguez (SEA), and Cole Young (SEA).
Platoon edges to target
- Pete Crow-Armstrong (CHC) — lefty bat vs RHP, .214 against righties this year.
- Ian Happ (CHC) — lefty bat vs RHP, .221 against righties this year.
- Michael Busch (CHC) — lefty bat vs RHP, .206 against righties this year.
- Paul Goldschmidt (NYY) — righty bat vs LHP, .339 against lefties this year.
- Casey Schmitt (SF) — righty bat vs LHP, .375 against lefties this year.
Best parks to hit in today
Coors Field is playing as a real hitter's park today (+6% hits park). Top bat there: Pete Crow-Armstrong (CHC) at 100.
Hot bats and bounce-back spots
Swinging hot bats: Zach Neto (LAA), Josh Jung (TEX), Yandy Díaz (TB), Randy Arozarena (SEA), Chase Meidroth (CWS), and Seiya Suzuki (CHC). Cold but due to bounce back: George Springer (TOR), Bobby Witt Jr. (KC), Michael Conforto (CHC), Carlos Cortes (ATH), and TJ Rumfield (COL).
How it played out
7 of the top 10 hits matchups landed at least one hit. Top play Pete Crow-Armstrong 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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