Best MLB Total Bases Matchups — Sunday, September 6, 2026
Top total bases spot: Roman Anthony
Roman Anthony (BOS) tops the board at 100, facing RHP Kyle Bradish. The lefty is racking up bases at .384 TB/PA against righties this year — and .950 over the last two weeks, a strong bat that turns into a total base in about 46% of his trips. And Kyle Bradish has been getting squared up by righties lately — .697 total bases 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 just .167 in 6 career PA against Kyle Bradish, 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
- Mickey Gasper (BOS) (95) vs RHP Kyle Bradish: a strong bat at .461 into an arm getting squared up by the same side (.697).
- Elly De La Cruz (CIN) (91) vs LHP Kyle Harrison: a solid bat at .401 into an arm getting squared up by the same side (.938).
- Sal Stewart (CIN) (87) vs LHP Kyle Harrison: a solid bat at .404 into an arm getting squared up by the same side (.938).
- Rafael Devers (SF) (85) vs RHP Christian Scott: an excellent bat at .524 into an arm vulnerable to the same side (.400).
- Jeff McNeil (ATH) (84) vs RHP Bryan Woo: a solid bat at .387 into an arm getting squared up by the same side (.778), hot bat.
- Brett Bateman (TOR) (81) vs RHP Randy Dobnak: a solid bat at .370 into an arm getting squared up by the same side (.724).
- Jackson Chourio (MIL) (80) vs RHP Brady Singer: a strong bat at .423 into an arm getting squared up by the same side (.474).
Arms giving up extra bases today
- LHP Kyle Harrison has been getting squared up by lefties — .494 total bases per batter faced. Bats to target: Elly De La Cruz (CIN), Sal Stewart (CIN), and Tyler Stephenson (CIN).
- RHP Kyle Bradish has been getting squared up by righties — .440 total bases per batter faced. Bats to target: Roman Anthony (BOS), Mickey Gasper (BOS), and Wilyer Abreu (BOS).
- RHP Bryan Woo has been getting squared up by righties — .439 total bases per batter faced. Bats to target: Jeff McNeil (ATH), Lawrence Butler (ATH), and Carlos Cortes (ATH).
- RHP Randy Dobnak has been getting squared up by righties — .436 total bases per batter faced. Bats to target: Brett Bateman (TOR), Nathan Lukes (TOR), and George Springer (TOR).
Platoon edges to target
- Roman Anthony (BOS) — lefty bat vs RHP, .384 against righties this year.
- Mickey Gasper (BOS) — lefty bat vs RHP, .470 against righties this year.
- Elly De La Cruz (CIN) — righty bat vs LHP, .543 against lefties this year.
- Sal Stewart (CIN) — righty bat vs LHP, .446 against lefties this year.
- Rafael Devers (SF) — lefty bat vs RHP, .526 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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