Best MLB Hits Matchups — Sunday, June 21, 2026
Top hits spot: J.P. Crawford
J.P. Crawford (SEA) tops the board at 100, facing LHP Payton Tolle. The lefty is hitting .164 H/PA against lefties this year — and .333 over the last two weeks, a league-average bat that turns into a hit in about 22% of his trips. And Payton Tolle has been getting tattooed by lefties lately — .308 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. No real history against Payton Tolle. It all sets up in a neutral park, weather helping.
The rest of the top of the board
- Kyle Schwarber (PHI) (100) vs LHP David Peterson: a solid bat at .244 into an arm tough on the same side (.182).
- Jake McCarthy (COL) (100) vs RHP Jared Jones: a strong bat at .252 into an arm getting tattooed by the same side (.367), hitter's park, hot bat.
- Wade Meckler (LAA) (100) vs RHP Jack Perkins: a strong bat at .257 into an arm getting tattooed by the same side (.290).
- Josh Naylor (SEA) (97) vs LHP Payton Tolle: a strong bat at .266 into an arm getting tattooed by the same side (.308).
- Trea Turner (PHI) (94) vs LHP David Peterson: a league-average bat at .221 into an arm getting tattooed by the same side (.318).
- Bo Bichette (NYM) (93) vs RHP Zack Wheeler: a strong bat at .267 into an arm tough on the same side (.086).
- Andy Pages (LAD) (92) vs RHP Brandon Young: a solid bat at .246 into an arm tough on the same side (.188).
Pitchers getting tattooed today
- RHP Jared Jones has been getting tattooed by righties — .298 hits per batter faced. Bats to target: Jake McCarthy (COL), Willi Castro (COL), and TJ Rumfield (COL).
- LHP Andrew Alvarez has been vulnerable to lefties — .276 hits per batter faced. Bats to target: Jonathan Aranda (TB), Yandy Díaz (TB), and Jonny DeLuca (TB).
- RHP Elmer Rodríguez has been vulnerable to righties — .275 hits per batter faced. Bats to target: Blake Dunn (CIN), Sal Stewart (CIN), and JJ Bleday (CIN).
- RHP Michael Lorenzen has been vulnerable to righties — .270 hits per batter faced. Bats to target: Ryan O'Hearn (PIT), Brandon Lowe (PIT), and Bryan Reynolds (PIT).
Platoon edges to target
- Jake McCarthy (COL) — lefty bat vs RHP, .241 against righties this year.
- Wade Meckler (LAA) — lefty bat vs RHP, .304 against righties this year.
- Trea Turner (PHI) — righty bat vs LHP, .170 against lefties this year.
- Freddie Freeman (LAD) — lefty bat vs RHP, .262 against righties this year.
- Ryan O'Hearn (PIT) — lefty bat vs RHP, .263 against righties this year.
Best parks to hit in today
Coors Field is playing as a real hitter's park today (+6% hits park). Top bat there: Jake McCarthy (COL) at 100.
Hot bats and bounce-back spots
Swinging hot bats: Jake McCarthy (COL), Brandon Lowe (PIT), Bryan Reynolds (PIT), Donovan Walton (LAA), Trevor Larnach (MIN), and Zack Gelof (ATH). Cold but due to bounce back: J.P. Crawford (SEA), Freddie Freeman (LAD), Ryan O'Hearn (PIT), Dominic Canzone (SEA), and Drake Baldwin (ATL).
How it played out
6 of the top 10 hits matchups landed at least one hit. Top play J.P. Crawford 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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