Best MLB Hits Matchups — Friday, July 10, 2026
Top hits spot: Heliot Ramos
Heliot Ramos (SF) tops the board at 100, facing RHP Tanner Gordon. The righty is hitting .248 H/PA against righties this year — and .286 over the last two weeks, a strong bat that turns into a hit in about 25% of his trips. And Tanner Gordon has been getting tattooed by righties lately — .500 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 .167 in 6 career PA against Tanner Gordon, 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
- Michael Harris II (ATL) (96) vs RHP Kyle Leahy: an excellent bat at .281 into an arm mostly holding up against the same side (.227), hot bat.
- Fernando Tatis Jr. (SD) (94) vs RHP Shane Bieber: a strong bat at .256 into an arm getting tattooed by the same side (.438).
- Luis Arraez (SF) (93) vs RHP Tanner Gordon: an excellent bat at .271 into an arm giving up plenty to the same side (.257).
- Trevor Larnach (MIN) (87) vs RHP Grayson Rodriguez: a strong bat at .253 into an arm with little track record against the same side, due to bounce back.
- Otto Lopez (MIA) (85) vs LHP Parker Messick: an excellent bat at .293 into an arm giving up plenty to the same side (.243), hot bat.
- Ernie Clement (TOR) (85) vs LHP JP Sears: an excellent bat at .274 into an arm giving up plenty to the same side (.250).
- Elly De La Cruz (CIN) (84) vs LHP Shota Imanaga: an excellent bat at .271 into an arm getting tattooed by the same side (.355).
Pitchers getting tattooed today
- RHP Shane Bieber has been getting tattooed by righties — .297 hits per batter faced. Bats to target: Fernando Tatis Jr. (SD), Xander Bogaerts (SD), and Manny Machado (SD).
- RHP Tanner Gordon has been vulnerable to righties — .288 hits per batter faced. Bats to target: Heliot Ramos (SF), Luis Arraez (SF), and Rafael Devers (SF).
- RHP Grayson Rodriguez has been vulnerable to righties — .270 hits per batter faced. Bats to target: Trevor Larnach (MIN), Kody Clemens (MIN), and Ryan Jeffers (MIN).
- LHP Ryan Weathers has been vulnerable to lefties — .267 hits per batter faced. Bats to target: James Wood (WSH), Dylan Crews (WSH), and Curtis Mead (WSH).
Platoon edges to target
- Michael Harris II (ATL) — lefty bat vs RHP, .304 against righties this year.
- Luis Arraez (SF) — lefty bat vs RHP, .295 against righties this year.
- Trevor Larnach (MIN) — lefty bat vs RHP, .256 against righties this year.
- Otto Lopez (MIA) — righty bat vs LHP, .416 against lefties this year.
- Ernie Clement (TOR) — righty bat vs LHP, .267 against lefties this year.
Hot bats and bounce-back spots
Swinging hot bats: Heliot Ramos (SF), Michael Harris II (ATL), Otto Lopez (MIA), Pete Crow-Armstrong (CHC), Bobby Witt Jr. (KC), and Ozzie Albies (ATL). Cold but due to bounce back: Trevor Larnach (MIN), Gunnar Henderson (BAL), Yordan Alvarez (HOU), Anthony Seigler (BOS), and Paul Goldschmidt (NYY).
How it played out
6 of the top 10 hits matchups landed at least one hit. Top play Heliot Ramos 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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