Best MLB H+R+RBI Matchups — Thursday, June 25, 2026
Top h+r+rbi spot: Pete Crow-Armstrong
Pete Crow-Armstrong (CHC) tops the board at 100, facing RHP Freddy Peralta. The lefty is stacking production at .557 (H+R+RBI)/PA against righties this year — and .864 over the last two weeks, an excellent bat that turns into a H+R+RBI in about 59% of his trips. And Freddy Peralta has been getting lit up by righties lately — .886 H+R+RBI per batter faced. The bullpen behind him is roughly average to that side. He's hitting in a spot worth about 4.7 trips, so the volume's there. He's owned Freddy Peralta too — .333 across 15 career trips. It all sets up in a neutral park.
The rest of the top of the board
- Bryce Harper (PHI) (83) vs RHP Cade Cavalli: an excellent bat at .571 into an arm vulnerable to the same side (.480).
- Yandy Díaz (TB) (75) vs RHP Seth Lugo: a strong bat at .524 into an arm mostly holding up against the same side (.400).
- Paul Goldschmidt (NYY) (75) vs LHP Connelly Early: a strong bat at .518 into an arm getting lit up by the same side (.529).
- Brandon Marsh (PHI) (75) vs RHP Cade Cavalli: an excellent bat at .552 into an arm vulnerable to the same side (.480).
- Matt Chapman (SF) (74) vs LHP Jeffrey Springs: a solid bat at .456 into an arm getting lit up by the same side (1.067).
- Kyle Schwarber (PHI) (74) vs RHP Cade Cavalli: a strong bat at .504 into an arm vulnerable to the same side (.480).
- Bo Bichette (NYM) (73) vs LHP Matthew Boyd: a strong bat at .506 into an arm with little track record against the same side.
Arms giving up production today
- LHP Jeffrey Springs has been getting lit up by lefties — .597 H+R+RBI per batter faced. Bats to target: Matt Chapman (SF), Bryce Eldridge (SF), and Casey Schmitt (SF).
- RHP Kevin Gausman has been getting lit up by righties — .560 H+R+RBI per batter faced. Bats to target: Wyatt Langford (TEX), Jake Burger (TEX), and Ezequiel Duran (TEX).
- RHP Freddy Peralta has been getting lit up by righties — .559 H+R+RBI per batter faced. Bats to target: Pete Crow-Armstrong (CHC), Ian Happ (CHC), and Michael Busch (CHC).
- RHP Casey Legumina has been vulnerable to righties — .509 H+R+RBI per batter faced. Bats to target: Nick Loftin (KC), Carter Jensen (KC), and Jac Caglianone (KC).
Platoon edges to target
- Pete Crow-Armstrong (CHC) — lefty bat vs RHP, .557 against righties this year.
- Bryce Harper (PHI) — lefty bat vs RHP, .588 against righties this year.
- Paul Goldschmidt (NYY) — righty bat vs LHP, .682 against lefties this year.
- Brandon Marsh (PHI) — lefty bat vs RHP, .612 against righties this year.
- Matt Chapman (SF) — righty bat vs LHP, .452 against lefties this year.
How it played out
10 of the top 10 h+r+rbi matchups landed at least one H+R+RBI. Top play Pete Crow-Armstrong finished with 3 H+R+RBI. 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 h+r+rbi matchups
Each score (0–100) starts with the hitter's combined hits + runs + RBIs 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 + runs + RBIs board is
The H+R+RBI board projects a hitter's combined H+R+RBI vs the book's line. 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:
- His hit, run, and RBI projections, composed from the tuned component boards.
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?
Composed from our tuned hit/run/RBI numbers, this grades efficient — no edge in any gap bin. Transparency board.
How to use it
A tidy one-number read on a hitter's all-around night; research, not a play.
Everything here is a research signal from the model, graded in public — not betting advice, and no outcome is guaranteed.
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