Best MLB Hits Matchups — Thursday, September 3, 2026
Top hits spot: Yandy Díaz
Yandy Díaz (TB) tops the board at 100, facing RHP Cal Quantrill. The righty is hitting .272 H/PA against righties this year — and .256 over the last two weeks, a strong bat that turns into a hit in about 27% of his trips. And Cal Quantrill has been getting tattooed by righties lately — .300 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 a fine .250 in 12 career PA against Cal Quantrill. It all sets up in a neutral park.
The rest of the top of the board
- Otto Lopez (MIA) (95) vs RHP Michael Wacha: a strong bat at .268 into an arm tough on the same side (.143), hot bat.
- Coby Mayo (BAL) (94) vs LHP Jake Bennett: a strong bat at .258 into an arm with little track record against the same side, hot bat.
- Bobby Witt Jr. (KC) (90) vs RHP Sandy Alcantara: a strong bat at .258 into an arm vulnerable to the same side (.273).
- Mookie Betts (LAD) (89) vs LHP Quinn Mathews: a solid bat at .228 into an arm getting tattooed by the same side (.333), hot bat.
- Jeremy Peña (HOU) (88) vs RHP Luis Castillo: a strong bat at .261 into an arm getting tattooed by the same side (.353).
- Chandler Simpson (TB) (86) vs RHP Cal Quantrill: an excellent bat at .279 into an arm tough on the same side (.160).
- Teoscar Hernández (LAD) (83) vs LHP Quinn Mathews: a solid bat at .245 into an arm getting tattooed by the same side (.333).
Pitchers getting tattooed today
RHP Cal Quantrill has been vulnerable to righties — .268 hits per batter faced. Bats to target: Yandy Díaz (TB), Chandler Simpson (TB), and Junior Caminero (TB).
Platoon edges to target
- Coby Mayo (BAL) — righty bat vs LHP, .293 against lefties this year.
- Mookie Betts (LAD) — righty bat vs LHP, .204 against lefties this year.
- Chandler Simpson (TB) — lefty bat vs RHP, .298 against righties this year.
- Teoscar Hernández (LAD) — righty bat vs LHP, .243 against lefties this year.
- Roman Anthony (BOS) — lefty bat vs RHP, .213 against righties this year.
Hot bats and bounce-back spots
Swinging hot bats: Otto Lopez (MIA), Coby Mayo (BAL), Mookie Betts (LAD), Jackson Chourio (MIL), William Contreras (MIL), and Rafael Devers (SF). Cold but due to bounce back: Jose Altuve (HOU), Jesús Sánchez (TOR), Jonny DeLuca (TB), Gunnar Henderson (BAL), and Drew Gilbert (SF).
How it played out
4 of the top 10 hits matchups landed at least one hit. Top play Yandy Díaz 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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