Best MLB Hits Matchups — Thursday, July 9, 2026
Top hits spot: Jake McCarthy
Jake McCarthy (COL) tops the board at 100, facing LHP Carson Whisenhunt. The lefty is hitting .364 H/PA against lefties this year — and .381 over the last two weeks, an excellent bat that turns into a hit in about 29% of his trips. And Carson Whisenhunt has been thin against lefties lately. 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. No real history against Carson Whisenhunt. It all sets up in a neutral park.
The rest of the top of the board
- Michael Harris II (ATL) (100) vs RHP Mitch Keller: an excellent bat at .282 into an arm getting tattooed by the same side (.333), hot bat.
- Joshua Kuroda-Grauer (ATH) (100) vs LHP Framber Valdez: an excellent bat at .294 into an arm getting tattooed by the same side (.319), hot bat.
- Elly De La Cruz (CIN) (100) vs LHP Jesús Luzardo: an excellent bat at .281 into an arm giving up plenty to the same side (.241).
- Luis Arraez (SF) (96) vs RHP Ryan Feltner: a strong bat at .266 into an arm getting tattooed by the same side (.381).
- Fernando Tatis Jr. (SD) (96) vs RHP Merrill Kelly: a strong bat at .255 into an arm getting tattooed by the same side (.364).
- Ceddanne Rafaela (BOS) (95) vs LHP Anthony Kay: a strong bat at .265 into an arm mostly holding up against the same side (.238), hot bat.
- Trea Turner (PHI) (94) vs RHP Brady Singer: an excellent bat at .273 into an arm getting tattooed by the same side (.333).
Pitchers getting tattooed today
- RHP Janson Junk has been vulnerable to righties — .289 hits per batter faced. Bats to target: J.P. Crawford (SEA), Dominic Canzone (SEA), and Josh Naylor (SEA).
- LHP David Peterson has been vulnerable to lefties — .269 hits per batter faced. Bats to target: Adley Rutschman (BAL), Taylor Ward (BAL), and Blaze Alexander (BAL).
- RHP Mitch Keller has been vulnerable to righties — .268 hits per batter faced. Bats to target: Michael Harris II (ATL), Ozzie Albies (ATL), and Matt Olson (ATL).
- RHP Merrill Kelly has been vulnerable to righties — .267 hits per batter faced. Bats to target: Fernando Tatis Jr. (SD), Jackson Merrill (SD), and Xander Bogaerts (SD).
Platoon edges to target
- Michael Harris II (ATL) — lefty bat vs RHP, .306 against righties this year.
- Joshua Kuroda-Grauer (ATH) — righty bat vs LHP, .500 against lefties this year.
- Elly De La Cruz (CIN) — righty bat vs LHP, .301 against lefties this year.
- Luis Arraez (SF) — lefty bat vs RHP, .293 against righties this year.
- Ceddanne Rafaela (BOS) — righty bat vs LHP, .287 against lefties this year.
Hot bats and bounce-back spots
Swinging hot bats: Michael Harris II (ATL), Joshua Kuroda-Grauer (ATH), Ceddanne Rafaela (BOS), Heliot Ramos (SF), Adley Rutschman (BAL), and Spencer Steer (CIN). Cold but due to bounce back: Hunter Goodman (COL), Randal Grichuk (CWS), Trevor Larnach (MIN), Jackson Chourio (MIL), and William Contreras (MIL).
How it played out
5 of the top 10 hits matchups landed at least one hit. Top play Jake McCarthy finished with 0 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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