Best MLB Hits Matchups — Sunday, October 11, 2026
Top hits spot: Jackson Chourio
Jackson Chourio (MIL) tops the board at 100, facing LHP Tarik Skubal. The righty is hitting .298 H/PA against lefties this year — and .500 over the last two weeks, an excellent bat that turns into a hit in about 29% of his trips. And Tarik Skubal has been tough on lefties lately — .063 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 Tarik Skubal too — .333 across 9 career trips. It all sets up in a neutral park.
The rest of the top of the board
- Andrew Vaughn (MIL) (74) vs LHP Tarik Skubal: an excellent bat at .275 into an arm tough on the same side (.063), due to bounce back.
- Freddie Freeman (LAD) (74) vs RHP Jacob Misiorowski: a strong bat at .261 into an arm tough on the same side (.000), due to bounce back.
- Will Smith (LAD) (62) vs RHP Jacob Misiorowski: a strong bat at .253 into an arm tough on the same side (.182).
- Brice Turang (MIL) (60) vs LHP Tarik Skubal: a solid bat at .229 into an arm vulnerable to the same side (.286), hot bat.
- Mookie Betts (LAD) (59) vs RHP Jacob Misiorowski: a solid bat at .234 into an arm tough on the same side (.182).
- Jake Bauers (MIL) (45) vs LHP Tarik Skubal: a solid bat at .229 into an arm vulnerable to the same side (.286).
- William Contreras (MIL) (40) vs LHP Tarik Skubal: a solid bat at .226 into an arm tough on the same side (.063).
Platoon edges to target
- Jackson Chourio (MIL) — righty bat vs LHP, .298 against lefties this year.
- Andrew Vaughn (MIL) — righty bat vs LHP, .293 against lefties this year.
- Freddie Freeman (LAD) — lefty bat vs RHP, .267 against righties this year.
- William Contreras (MIL) — righty bat vs LHP, .235 against lefties this year.
- Shohei Ohtani (LAD) — lefty bat vs RHP, .230 against righties this year.
Hot bats and bounce-back spots
Swinging hot bats: Jackson Chourio (MIL) and Brice Turang (MIL). Cold but due to bounce back: Andrew Vaughn (MIL) and Freddie Freeman (LAD).
How it played out
8 of the top 10 hits matchups landed at least one hit. Top play Jackson Chourio 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 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.
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