Best MLB Hits Matchups — Sunday, August 9, 2026
Top hits spot: Alec Burleson
Alec Burleson (STL) tops the board at 100, facing RHP Michael Lorenzen. The lefty is hitting .287 H/PA against righties this year — and .300 over the last two weeks, an excellent bat that turns into a hit in about 27% of his trips. And Michael Lorenzen has been getting tattooed by righties lately — .381 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 4.5 trips, so the volume's there. He's owned Michael Lorenzen too — .800 across 5 career trips. It all sets up in a neutral park, weather helping.
The rest of the top of the board
- Jeremy Peña (HOU) (100) vs RHP Randy Vásquez: an excellent bat at .294 into an arm tough on the same side (.048), due to bounce back.
- Shohei Ohtani (LAD) (100) vs LHP Eduardo Rodriguez: an excellent bat at .281 into an arm getting tattooed by the same side (.381).
- Kevin McGonigle (DET) (98) vs RHP Logan Webb: an excellent bat at .276 into an arm giving up plenty to the same side (.243).
- Freddie Freeman (LAD) (92) vs LHP Eduardo Rodriguez: an excellent bat at .275 into an arm getting tattooed by the same side (.381), due to bounce back.
- Jake McCarthy (COL) (90) vs RHP Michael McGreevy: a strong bat at .263 into an arm getting tattooed by the same side (.292), hot bat.
- Jonathan Aranda (TB) (90) vs RHP Emerson Hancock: a strong bat at .263 into an arm getting tattooed by the same side (.323), hot bat.
- Chandler Simpson (TB) (87) vs RHP Emerson Hancock: an excellent bat at .284 into an arm getting tattooed by the same side (.323).
Pitchers getting tattooed today
- RHP Michael Lorenzen has been vulnerable to righties — .288 hits per batter faced. Bats to target: Alec Burleson (STL), Jordan Walker (STL), and Iván Herrera (STL).
- LHP Cade Povich has been vulnerable to lefties — .286 hits per batter faced. Bats to target: Brandon Nimmo (TEX), Corey Seager (TEX), and Wyatt Langford (TEX).
- RHP Shane Bieber has been vulnerable to righties — .285 hits per batter faced. Bats to target: Trea Turner (PHI), Luis Arraez (PHI), and Bryce Harper (PHI).
- LHP Eduardo Rodriguez has been vulnerable to lefties — .263 hits per batter faced. Bats to target: Shohei Ohtani (LAD), Freddie Freeman (LAD), and Andy Pages (LAD).
Platoon edges to target
- Alec Burleson (STL) — lefty bat vs RHP, .287 against righties this year.
- Kevin McGonigle (DET) — lefty bat vs RHP, .254 against righties this year.
- Jake McCarthy (COL) — lefty bat vs RHP, .265 against righties this year.
- Jonathan Aranda (TB) — lefty bat vs RHP, .256 against righties this year.
- Chandler Simpson (TB) — lefty bat vs RHP, .290 against righties this year.
Hot bats and bounce-back spots
Swinging hot bats: Jake McCarthy (COL), Jonathan Aranda (TB), Jordan Walker (STL), Steven Kwan (CLE), Fernando Tatis Jr. (SD), and Wilyer Abreu (BOS). Cold but due to bounce back: Alec Burleson (STL), Jeremy Peña (HOU), Freddie Freeman (LAD), Yandy Díaz (TB), and Ty France (SD).
How it played out
7 of the top 10 hits matchups landed at least one hit. Top play Alec Burleson 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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