Best MLB Hits Matchups — Saturday, June 13, 2026
Top hits spot: Shea Langeliers
Shea Langeliers (ATH) tops the board at 100, facing LHP Kyle Freeland. The righty is hitting .329 H/PA against lefties this year — and .444 over the last two weeks, an excellent bat that turns into a hit in about 30% of his trips. And Kyle Freeland has been getting tattooed by lefties lately — .309 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 Kyle Freeland too — 1.000 across 2 career trips. It all sets up in a neutral park, weather helping.
The rest of the top of the board
- Jung Hoo Lee (SF) (86) vs RHP Ben Brown: an elite bat at .351 into an arm tough on the same side (.160).
- Jonah Heim (ATH) (82) vs LHP Kyle Freeland: an excellent bat at .279 into an arm getting tattooed by the same side (.309).
- Nick Kurtz (ATH) (81) vs LHP Kyle Freeland: a solid bat at .243 into an arm tough on the same side (.125), hot bat.
- Fernando Tatis Jr. (SD) (80) vs RHP Trey Gibson: a strong bat at .266 into an arm getting tattooed by the same side (.300).
- Luis Arraez (SF) (79) vs RHP Ben Brown: an excellent bat at .274 into an arm tough on the same side (.160), hot bat.
- Pete Crow-Armstrong (CHC) (79) vs RHP Trevor McDonald: a strong bat at .263 into an arm giving up plenty to the same side (.241).
- Colby Thomas (ATH) (77) vs LHP Kyle Freeland: a solid bat at .236 into an arm getting tattooed by the same side (.309).
Pitchers getting tattooed today
- RHP Joey Estes has been vulnerable to righties — .280 hits per batter faced. Bats to target: Hunter Goodman (COL), Edouard Julien (COL), and Troy Johnston (COL).
- LHP Kyle Freeland has been vulnerable to lefties — .280 hits per batter faced. Bats to target: Shea Langeliers (ATH), Jonah Heim (ATH), and Nick Kurtz (ATH).
- RHP Aaron Nola has been vulnerable to righties — .261 hits per batter faced. Bats to target: Christian Yelich (MIL), Jackson Chourio (MIL), and Brice Turang (MIL).
- LHP Joey Cantillo has been vulnerable to lefties — .261 hits per batter faced. Bats to target: Matt Vierling (DET), Gleyber Torres (DET), and Kevin McGonigle (DET).
Platoon edges to target
- Shea Langeliers (ATH) — righty bat vs LHP, .329 against lefties this year.
- Jung Hoo Lee (SF) — lefty bat vs RHP, .332 against righties this year.
- Jonah Heim (ATH) — righty bat vs LHP, .283 against lefties this year.
- Luis Arraez (SF) — lefty bat vs RHP, .299 against righties this year.
- Pete Crow-Armstrong (CHC) — lefty bat vs RHP, .216 against righties this year.
Hot bats and bounce-back spots
Swinging hot bats: Shea Langeliers (ATH), Nick Kurtz (ATH), Luis Arraez (SF), Chase DeLauter (CLE), Nathan Lukes (TOR), and Otto Lopez (MIA). Cold but due to bounce back: Hunter Goodman (COL), Matt Vierling (DET), Mark Vientos (NYM), Brandon Marsh (PHI), and Jasson Domínguez (NYY).
How it played out
7 of the top 10 hits matchups landed at least one hit. Top play Shea Langeliers 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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