Best MLB Total Bases Matchups — Tuesday, June 16, 2026
Top total bases spot: Alec Burleson
Alec Burleson (STL) tops the board at 100, facing RHP Michael King. The lefty is racking up bases at .533 TB/PA against righties this year — and .921 over the last two weeks, an excellent bat that turns into a total base in about 55% of his trips. And Michael King has been getting squared up by righties lately — .478 total bases per batter faced. The bullpen behind him is roughly average to that side. He's hitting in a spot worth about 4.5 trips, so the volume's there. He's a fine .286 in 7 career PA against Michael King. It all sets up in a neutral park, weather helping.
The rest of the top of the board
- Pete Crow-Armstrong (CHC) (98) vs RHP Ryan Feltner: an excellent bat at .490 into an arm tough on the same side (.200), hot bat.
- James Wood (WSH) (93) vs RHP Michael Wacha: a strong bat at .445 into an arm getting squared up by the same side (.611), hot bat.
- Nick Kurtz (ATH) (92) vs RHP Mitch Keller: a strong bat at .458 into an arm tough on the same side (.294), hot bat.
- Jackson Chourio (MIL) (91) vs RHP Slade Cecconi: an excellent bat at .482 into an arm tough on the same side (.250), hot bat.
- Luis García Jr. (WSH) (89) vs RHP Michael Wacha: a strong bat at .450 into an arm getting squared up by the same side (.611).
- Hunter Goodman (COL) (88) vs RHP Edward Cabrera: an excellent bat at .488 into an arm getting squared up by the same side (.857).
- JJ Bleday (CIN) (83) vs RHP Kodai Senga: a strong bat at .459 into an arm with little track record against the same side.
Arms giving up extra bases today
- RHP Merrill Kelly has been getting squared up by righties — .456 total bases per batter faced. Bats to target: Wade Meckler (LAA), Nolan Schanuel (LAA), and Zach Neto (LAA).
- RHP Edward Cabrera has been getting squared up by righties — .436 total bases per batter faced. Bats to target: Hunter Goodman (COL), Jake McCarthy (COL), and TJ Rumfield (COL).
- RHP Zebby Matthews has been getting squared up by righties — .429 total bases per batter faced. Bats to target: Josh Jung (TEX), Joc Pederson (TEX), and Wyatt Langford (TEX).
- RHP Brady Singer has been getting squared up by righties — .428 total bases per batter faced. Bats to target: Juan Soto (NYM), Jared Young (NYM), and Carson Benge (NYM).
Platoon edges to target
- Alec Burleson (STL) — lefty bat vs RHP, .533 against righties this year.
- Pete Crow-Armstrong (CHC) — lefty bat vs RHP, .432 against righties this year.
- James Wood (WSH) — lefty bat vs RHP, .474 against righties this year.
- Nick Kurtz (ATH) — lefty bat vs RHP, .431 against righties this year.
- Luis García Jr. (WSH) — lefty bat vs RHP, .436 against righties this year.
How it played out
7 of the top 10 total bases matchups landed at least one total base. Top play Alec Burleson 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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