Best MLB Total Bases Matchups — Saturday, September 5, 2026
Top total bases spot: Roman Anthony
Roman Anthony (BOS) tops the board at 100, facing RHP Chris Bassitt. 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 Chris Bassitt has been getting squared up by righties lately — .478 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 owned Chris Bassitt too — .500 across 2 career trips. It all sets up in a neutral park.
The rest of the top of the board
- Sal Frelick (MIL) (95) vs LHP Andrew Abbott: a league-average bat at .343 into an arm getting squared up by the same side (1.750).
- Mickey Gasper (BOS) (95) vs RHP Chris Bassitt: a strong bat at .461 into an arm getting squared up by the same side (.478).
- Jake Bauers (MIL) (93) vs LHP Andrew Abbott: a league-average bat at .358 into an arm getting squared up by the same side (1.750).
- Hunter Goodman (COL) (92) vs LHP Matthew Liberatore: a solid bat at .411 into an arm getting squared up by the same side (.759).
- Brett Bateman (TOR) (90) vs RHP Seth Lugo: a solid bat at .370 into an arm getting squared up by the same side (.759).
- Randy Arozarena (SEA) (89) vs LHP Jeffrey Springs: a strong bat at .451 into an arm getting squared up by the same side (.472).
- Drake Baldwin (ATL) (83) vs RHP Zack Wheeler: a solid bat at .414 into an arm getting squared up by the same side (.826).
Arms giving up extra bases today
- LHP Andrew Abbott has been getting squared up by lefties — .460 total bases per batter faced. Bats to target: Sal Frelick (MIL), Jake Bauers (MIL), and Christian Yelich (MIL).
- RHP Seth Lugo has been getting squared up by righties — .456 total bases per batter faced. Bats to target: Brett Bateman (TOR), George Springer (TOR), and Nathan Lukes (TOR).
- LHP Matthew Liberatore has been getting squared up by lefties — .453 total bases per batter faced. Bats to target: Hunter Goodman (COL), Cole Carrigg (COL), and Jake McCarthy (COL).
- LHP Yusei Kikuchi has been getting squared up by lefties — .441 total bases per batter faced. Bats to target: Bryan Reynolds (PIT), Brandon Lowe (PIT), and Nick Gonzales (PIT).
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.
- Hunter Goodman (COL) — righty bat vs LHP, .454 against lefties this year.
- Randy Arozarena (SEA) — righty bat vs LHP, .444 against lefties this year.
- Drake Baldwin (ATL) — lefty bat vs RHP, .428 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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