Best MLB Hits Matchups — Friday, August 14, 2026
Top hits spot: Jonah Cox
Jonah Cox (SF) tops the board at 100, facing LHP Kyle Freeland. The righty is hitting — H/PA against lefties this year, a solid bat that turns into a hit in about 25% of his trips. And Kyle Freeland has been tough on lefties lately — .206 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 Kyle Freeland. It all sets up in a neutral park, weather helping.
The rest of the top of the board
- Pete Crow-Armstrong (CHC) (100) vs LHP Matthew Liberatore: an excellent bat at .277 into an arm getting tattooed by the same side (.400).
- Brandon Nimmo (TEX) (98) vs LHP Gage Jump: an excellent bat at .295 into an arm tough on the same side (.100), due to bounce back.
- Jac Caglianone (KC) (97) vs RHP Grayson Rodriguez: an excellent bat at .285 into an arm tough on the same side (.125), hot bat.
- Wade Meckler (LAA) (96) vs RHP Seth Lugo: a strong bat at .255 into an arm mostly holding up against the same side (.219), hot bat.
- Jake McCarthy (COL) (95) vs RHP Landen Roupp: an excellent bat at .279 into an arm tough on the same side (.154), due to bounce back.
- Chandler Simpson (TB) (95) vs RHP Chris Bassitt: an elite bat at .304 into an arm with little track record against the same side.
- Jeff McNeil (ATH) (91) vs RHP Kumar Rocker: a strong bat at .250 into an arm getting tattooed by the same side (.500).
Pitchers getting tattooed today
- RHP Kumar Rocker has been vulnerable to righties — .282 hits per batter faced. Bats to target: Jeff McNeil (ATH), Tyler Soderstrom (ATH), and Jacob Wilson (ATH).
- RHP Robert Stock has been vulnerable to righties — .272 hits per batter faced. Bats to target: Abimelec Ortiz (WSH), CJ Abrams (WSH), and Daylen Lile (WSH).
- RHP Chris Bassitt has been vulnerable to righties — .270 hits per batter faced. Bats to target: Chandler Simpson (TB), Yandy Díaz (TB), and Jonathan Aranda (TB).
- LHP Matthew Liberatore has been vulnerable to lefties — .269 hits per batter faced. Bats to target: Pete Crow-Armstrong (CHC), Seiya Suzuki (CHC), and Michael Busch (CHC).
Platoon edges to target
- Jac Caglianone (KC) — lefty bat vs RHP, .253 against righties this year.
- Wade Meckler (LAA) — lefty bat vs RHP, .279 against righties this year.
- Jake McCarthy (COL) — lefty bat vs RHP, .268 against righties this year.
- Chandler Simpson (TB) — lefty bat vs RHP, .302 against righties this year.
- Jeff McNeil (ATH) — lefty bat vs RHP, .246 against righties this year.
Hot bats and bounce-back spots
Swinging hot bats: Jac Caglianone (KC), Wade Meckler (LAA), Abimelec Ortiz (WSH), Tyler Soderstrom (ATH), Sal Stewart (CIN), and Ronny Simon (PIT). Cold but due to bounce back: Jonah Cox (SF), Brandon Nimmo (TEX), Jake McCarthy (COL), Bryan Reynolds (PIT), and Otto Lopez (MIA).
How it played out
5 of the top 10 hits matchups landed at least one hit. Top play Jonah Cox 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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