Best MLB Total Bases Matchups — Thursday, September 10, 2026
Top total bases spot: Ezequiel Duran
Ezequiel Duran (TEX) tops the board at 100, facing RHP Logan Gilbert. The righty is racking up bases at .418 TB/PA against righties this year — and .483 over the last two weeks, a solid bat that turns into a total base in about 40% of his trips. And Logan Gilbert has been getting squared up by righties lately — .920 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. He's just .071 in 14 career PA against Logan Gilbert, but that's a tiny sample and the matchup says regression. It all sets up in a neutral park.
The rest of the top of the board
- Ben Rice (NYY) (100) vs RHP Ryan Feltner: a strong bat at .432 into an arm getting squared up by the same side (.435), due to bounce back.
- Sam Antonacci (CWS) (100) vs RHP Jared Jones: a league-average bat at .368 into an arm getting squared up by the same side (.421).
- Oneil Cruz (PIT) (93) vs LHP Hagen Smith: a league-average bat at .369 into an arm tough on the same side (.200).
- Joc Pederson (TEX) (89) vs RHP Logan Gilbert: a strong bat at .422 into an arm vulnerable to the same side (.400), due to bounce back.
- Luis García Jr. (NYY) (84) vs RHP Ryan Feltner: a strong bat at .446 into an arm getting squared up by the same side (.435).
- Konnor Griffin (PIT) (82) vs LHP Hagen Smith: a league-average bat at .362 into an arm tough on the same side (.143).
- Andrew Benintendi (CWS) (79) vs RHP Jared Jones: a solid bat at .370 into an arm getting squared up by the same side (.421).
Arms giving up extra bases today
- RHP Logan Gilbert has been getting squared up by righties — .473 total bases per batter faced. Bats to target: Ezequiel Duran (TEX), Joc Pederson (TEX), and Wyatt Langford (TEX).
- RHP Ryan Feltner has been vulnerable to righties — .385 total bases per batter faced. Bats to target: Ben Rice (NYY), Luis García Jr. (NYY), and Cody Bellinger (NYY).
- RHP Nick Martinez has been giving up bases to righties — .380 total bases per batter faced. Bats to target: Ronald Acuña Jr. (ATL), Drake Baldwin (ATL), and Michael Harris II (ATL).
- RHP Jared Jones has been giving up bases to righties — .377 total bases per batter faced. Bats to target: Sam Antonacci (CWS), Andrew Benintendi (CWS), and Munetaka Murakami (CWS).
Platoon edges to target
- Ben Rice (NYY) — lefty bat vs RHP, .477 against righties this year.
- Sam Antonacci (CWS) — lefty bat vs RHP, .362 against righties this year.
- Joc Pederson (TEX) — lefty bat vs RHP, .428 against righties this year.
- Luis García Jr. (NYY) — lefty bat vs RHP, .547 against righties this year.
- Konnor Griffin (PIT) — righty bat vs LHP, .385 against lefties this year.
How it played out
5 of the top 10 total bases matchups landed at least one total base. Top play Ezequiel Duran finished with 0 total bases. 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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