Best MLB Hits Matchups — Monday, August 10, 2026
Top hits spot: Shohei Ohtani
Shohei Ohtani (LAD) tops the board at 100, facing LHP Noah Cameron. The lefty is hitting .265 H/PA against lefties this year — and .375 over the last two weeks, an excellent bat that turns into a hit in about 27% of his trips. And Noah Cameron has been tough on lefties lately — .111 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 owned Noah Cameron too — .667 across 3 career trips. It all sets up in a neutral park, weather helping.
The rest of the top of the board
- Jake McCarthy (COL) (100) vs RHP Michael Soroka: an excellent bat at .279 into an arm with little track record against the same side, hot bat.
- Jeremy Peña (HOU) (90) vs RHP Blade Tidwell: a strong bat at .270 into an arm tough on the same side (.111), due to bounce back.
- Yandy Díaz (TB) (89) vs LHP Jacob Lopez: a strong bat at .257 into an arm vulnerable to the same side (.289).
- Yordan Alvarez (HOU) (89) vs RHP Blade Tidwell: a strong bat at .260 into an arm getting tattooed by the same side (.385), due to bounce back.
- Jung Hoo Lee (SF) (88) vs RHP Hayden Wesneski: an excellent bat at .274 into an arm tough on the same side (.176), due to bounce back.
- Ceddanne Rafaela (BOS) (87) vs RHP Jameson Taillon: an excellent bat at .276 into an arm getting tattooed by the same side (.353).
- Jeff McNeil (ATH) (85) vs RHP Freddy Peralta: a solid bat at .249 into an arm getting tattooed by the same side (.417).
Pitchers getting tattooed today
- RHP Freddy Peralta has been vulnerable to righties — .270 hits per batter faced. Bats to target: Jeff McNeil (ATH), Tyler Soderstrom (ATH), and Jacob Wilson (ATH).
- RHP Jameson Taillon has been giving up plenty to righties — .257 hits per batter faced. Bats to target: Ceddanne Rafaela (BOS), Nick Sogard (BOS), and Wilyer Abreu (BOS).
Platoon edges to target
- Jake McCarthy (COL) — lefty bat vs RHP, .273 against righties this year.
- Yandy Díaz (TB) — righty bat vs LHP, .261 against lefties this year.
- Yordan Alvarez (HOU) — lefty bat vs RHP, .278 against righties this year.
- Jung Hoo Lee (SF) — lefty bat vs RHP, .287 against righties this year.
- Jeff McNeil (ATH) — lefty bat vs RHP, .242 against righties this year.
Hot bats and bounce-back spots
Swinging hot bats: Jake McCarthy (COL), Iván Herrera (STL), Tyler Soderstrom (ATH), Brandon Nimmo (TEX), Jordan Walker (STL), and Fernando Tatis Jr. (SD). Cold but due to bounce back: Jeremy Peña (HOU), Yordan Alvarez (HOU), Jung Hoo Lee (SF), Osleivis Basabe (SF), and Austin Martin (MIN).
How it played out
10 of the top 10 hits matchups landed at least one hit. Top play Shohei Ohtani finished with 2 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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