Best MLB Hits Matchups — Wednesday, October 7, 2026
Top hits spot: Freddie Freeman
Freddie Freeman (LAD) tops the board at 100, facing RHP Tyler Mahle. The lefty is hitting .267 H/PA against righties this year — and .154 over the last two weeks, a strong bat that turns into a hit in about 26% of his trips. And Tyler Mahle 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 4.5 trips, so the volume's there. He's owned Tyler Mahle too — .364 across 22 career trips. It all sets up in a neutral park.
The rest of the top of the board
- Austin Hays (SD) (100) vs LHP Robert Gasser: an excellent bat at .284 into an arm tough on the same side (.067).
- Chase DeLauter (CLE) (98) vs LHP Sean Newcomb: an excellent bat at .277 into an arm tough on the same side (.000).
- Jackson Chourio (MIL) (95) vs RHP Walker Buehler: a solid bat at .244 into an arm getting tattooed by the same side (.500), hot bat.
- José Ramírez (CLE) (95) vs LHP Sean Newcomb: a strong bat at .261 into an arm mostly holding up against the same side (.222).
- Sam Antonacci (CWS) (94) vs RHP Daniel Espino: a strong bat at .254 into an arm tough on the same side (.000), hot bat.
- Michael Harris II (ATL) (93) vs RHP Tyler Glasnow: a strong bat at .268 into an arm tough on the same side (.200).
- Luis García Jr. (NYY) (92) vs RHP Nick Martinez: a strong bat at .257 into an arm getting tattooed by the same side (.333).
Platoon edges to target
- Freddie Freeman (LAD) — lefty bat vs RHP, .267 against righties this year.
- Austin Hays (SD) — righty bat vs LHP, .358 against lefties this year.
- José Ramírez (CLE) — righty bat vs LHP, .250 against lefties this year.
- Sam Antonacci (CWS) — lefty bat vs RHP, .251 against righties this year.
- Michael Harris II (ATL) — lefty bat vs RHP, .287 against righties this year.
Hot bats and bounce-back spots
Swinging hot bats: Jackson Chourio (MIL), Sam Antonacci (CWS), Brice Turang (MIL), Chase Meidroth (CWS), and Jonny DeLuca (TB). Cold but due to bounce back: Freddie Freeman (LAD), Angel Martínez (CLE), Ronald Acuña Jr. (ATL), Cody Bellinger (NYY), and Miguel Vargas (CWS).
How it played out
5 of the top 10 hits matchups landed at least one hit. Top play Freddie Freeman 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 the WizLine 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.
Learn more: How the model works · The picks story · Today's plays