Best MLB Hits Matchups — Wednesday, October 14, 2026
Top hits spot: Jackson Chourio
Jackson Chourio (MIL) tops the board at 100, facing LHP Blake Snell. The righty is hitting .298 H/PA against lefties this year — and .000 over the last two weeks, an excellent bat that turns into a hit in about 28% of his trips. And Blake Snell has been thin against lefties lately. 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 just .000 in 2 career PA against Blake Snell, but that's a tiny sample and the matchup says regression. It all sets up in a neutral park.
The rest of the top of the board
- Andrew Vaughn (MIL) (70) vs LHP Blake Snell: an excellent bat at .273 into an arm with little track record against the same side, due to bounce back.
- Andy Pages (LAD) (59) vs LHP Robert Gasser: a strong bat at .268 into an arm with little track record against the same side.
- Teoscar Hernández (LAD) (59) vs LHP Robert Gasser: a solid bat at .248 into an arm with little track record against the same side.
- Brice Turang (MIL) (58) vs LHP Blake Snell: a solid bat at .233 into an arm with little track record against the same side, hot bat.
- Mookie Betts (LAD) (58) vs LHP Robert Gasser: a solid bat at .233 into an arm with little track record against the same side.
- Freddie Freeman (LAD) (54) vs LHP Robert Gasser: a solid bat at .242 into an arm with little track record against the same side, due to bounce back.
- Miguel Rojas (LAD) (34) vs LHP Robert Gasser: a strong bat at .260 into an arm with little track record against the same side.
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.
- Andy Pages (LAD) — righty bat vs LHP, .258 against lefties this year.
- Teoscar Hernández (LAD) — righty bat vs LHP, .261 against lefties this year.
- Mookie Betts (LAD) — righty bat vs LHP, .224 against lefties 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
1 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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