Best MLB Total Bases Matchups — Wednesday, June 17, 2026
Top total bases spot: Dillon Dingler
Dillon Dingler (DET) tops the board at 100, facing RHP Peter Lambert. The righty is racking up bases at .511 TB/PA against righties this year — and .821 over the last two weeks, an excellent bat that turns into a total base in about 51% of his trips. And Peter Lambert has been getting squared up by righties lately — .588 total bases 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. No real history against Peter Lambert. It all sets up in a neutral park.
The rest of the top of the board
- Paul Goldschmidt (NYY) (97) vs LHP Anthony Kay: an excellent bat at .507 into an arm getting squared up by the same side (.429), hot bat.
- Tommy Edman (LAD) (93) vs LHP Shane McClanahan: a strong bat at .478 into an arm getting squared up by the same side (.433).
- Liam Hicks (MIA) (93) vs RHP Andrew Painter: a strong bat at .425 into an arm getting squared up by the same side (.745), hot bat.
- Alec Burleson (STL) (91) vs RHP Bradgley Rodriguez: an excellent bat at .546 into an arm tough on the same side (.167), hot bat.
- Dominic Canzone (SEA) (91) vs RHP Kyle Bradish: an excellent bat at .524 into an arm getting squared up by the same side (.632), hot bat.
- Jackson Chourio (MIL) (88) vs RHP Gavin Williams: an excellent bat at .482 into an arm getting squared up by the same side (.750).
- James Wood (WSH) (88) vs RHP Luinder Avila: a strong bat at .445 into an arm getting squared up by the same side (.500), hot bat.
Arms giving up extra bases today
- RHP Andrew Painter has been getting squared up by righties — .486 total bases per batter faced. Bats to target: Liam Hicks (MIA), Kyle Stowers (MIA), and Otto Lopez (MIA).
- RHP Peter Lambert has been getting squared up by righties — .457 total bases per batter faced. Bats to target: Dillon Dingler (DET), Spencer Torkelson (DET), and Riley Greene (DET).
- RHP Aaron Civale has been getting squared up by righties — .446 total bases per batter faced. Bats to target: Brandon Lowe (PIT), Spencer Horwitz (PIT), and Ryan O'Hearn (PIT).
- RHP Kyle Bradish has been getting squared up by righties — .429 total bases per batter faced. Bats to target: Dominic Canzone (SEA), J.P. Crawford (SEA), and Colt Emerson (SEA).
Platoon edges to target
- Paul Goldschmidt (NYY) — righty bat vs LHP, .653 against lefties this year.
- Liam Hicks (MIA) — lefty bat vs RHP, .457 against righties this year.
- Alec Burleson (STL) — lefty bat vs RHP, .533 against righties this year.
- Dominic Canzone (SEA) — lefty bat vs RHP, .533 against righties this year.
- James Wood (WSH) — lefty bat vs RHP, .474 against righties this year.
How it played out
8 of the top 10 total bases matchups landed at least one total base. Top play Dillon Dingler finished with 1 total base. 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 total bases matchups
Each score (0–100) starts with the hitter's total bases 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 total bases board is
The Total Bases board projects how many bases a hitter racks up vs the posted total-bases 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 extra-base pop vs this arm.
- The park.
- Recent contact quality.
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?
Total bases grades right at break-even even when we tune it to the hilt — the book prices the marginal leans efficiently. Transparency board.
How to use it
See who the model projects for extra-base damage; no systematic edge to bet.
Everything here is a research signal from the model, graded in public — not betting advice, and no outcome is guaranteed.
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