Best MLB Total Bases Matchups — Saturday, September 12, 2026
Top total bases spot: Jackson Chourio
Jackson Chourio (MIL) tops the board at 100, facing RHP Brady Singer. The righty is racking up bases at .443 TB/PA against righties this year — and .643 over the last two weeks, a strong bat that turns into a total base in about 46% of his trips. And Brady Singer has been getting squared up by righties lately — .474 total bases per batter faced. The bullpen behind him hasn't been any better to that side, so there's no relief late. He's hitting in a spot worth about 4.7 trips, so the volume's there. He's a fine .214 in 14 career PA against Brady Singer. It all sets up in a neutral park.
The rest of the top of the board
- Roman Anthony (BOS) (97) vs RHP Randy Dobnak: a strong bat at .423 into an arm getting squared up by the same side (.588).
- Elly De La Cruz (CIN) (94) vs RHP the starter: an excellent bat at .501 into an arm with little track record against the same side.
- Kevin McGonigle (DET) (94) vs RHP Tanner Gordon: a solid bat at .385 into an arm vulnerable to the same side (.400).
- Bryan Torres (STL) (92) vs RHP Luis Castillo: a league-average bat at .344 into an arm getting squared up by the same side (.850), hot bat.
- Pete Crow-Armstrong (CHC) (89) vs RHP Paul Skenes: an excellent bat at .511 into an arm getting squared up by the same side (.423), hot bat.
- Alec Burleson (STL) (89) vs RHP Luis Castillo: a solid bat at .379 into an arm getting squared up by the same side (.850).
- Leo Bernal (STL) (87) vs RHP Luis Castillo: a solid bat at .398 into an arm getting squared up by the same side (.850).
Arms giving up extra bases today
- RHP Luis Castillo has been getting squared up by righties — .458 total bases per batter faced. Bats to target: Bryan Torres (STL), Alec Burleson (STL), and Leo Bernal (STL).
- RHP Gerrit Cole has been getting squared up by righties — .436 total bases per batter faced. Bats to target: Bo Bichette (NYM), Mark Vientos (NYM), and Francisco Lindor (NYM).
- RHP Kyle Leahy has been getting squared up by righties — .430 total bases per batter faced. Bats to target: Sam Antonacci (CWS), Munetaka Murakami (CWS), and Andrew Benintendi (CWS).
- RHP Randy Dobnak has been vulnerable to righties — .416 total bases per batter faced. Bats to target: Roman Anthony (BOS), Mickey Gasper (BOS), and Adley Rutschman (BOS).
Platoon edges to target
- Roman Anthony (BOS) — lefty bat vs RHP, .361 against righties this year.
- Kevin McGonigle (DET) — lefty bat vs RHP, .388 against righties this year.
- Bryan Torres (STL) — lefty bat vs RHP, .368 against righties this year.
- Pete Crow-Armstrong (CHC) — lefty bat vs RHP, .506 against righties this year.
- Alec Burleson (STL) — lefty bat vs RHP, .482 against righties this year.
Lineup watch
270 of today's hitters are still on projected lineups, drawn from each team's last game. Batting order drives the score, so these flip the moment official lineups post — usually about two hours before first pitch. Anyone who doesn't make the official card gets flagged "Not starting" and drops to the bottom.
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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