Best MLB Total Bases Matchups — Thursday, September 24, 2026
Top total bases spot: Drake Baldwin
Drake Baldwin (ATL) tops the board at 100, facing RHP Brady Singer. The lefty is racking up bases at .443 TB/PA against righties this year — and .565 over the last two weeks, a strong bat that turns into a total base in about 44% of his trips. And Brady Singer has been getting squared up by righties lately — .600 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 Brady Singer too — .333 across 3 career trips. It all sets up in a neutral park.
The rest of the top of the board
- Gabriel Moreno (AZ) (91) vs RHP Tanner Gordon: a strong bat at .444 into an arm getting squared up by the same side (.688).
- Pete Crow-Armstrong (CHC) (88) vs RHP Tyler Phillips: an excellent bat at .534 into an arm vulnerable to the same side (.385).
- Lars Nootbaar (AZ) (86) vs RHP Tanner Gordon: a league-average bat at .363 into an arm getting squared up by the same side (.667).
- Matt Olson (ATL) (85) vs RHP Brady Singer: a solid bat at .406 into an arm getting squared up by the same side (.600).
- Jake McCarthy (COL) (85) vs LHP Eduardo Rodriguez: a strong bat at .452 into an arm getting squared up by the same side (.727).
- Jeremy Peña (HOU) (81) vs RHP Mason Barnett: a strong bat at .447 into an arm getting squared up by the same side (.500).
- Ketel Marte (AZ) (79) vs RHP Tanner Gordon: a league-average bat at .347 into an arm getting squared up by the same side (.667).
Arms giving up extra bases today
- RHP Tanner Gordon has been getting squared up by righties — .460 total bases per batter faced. Bats to target: Gabriel Moreno (AZ), Lars Nootbaar (AZ), and Ketel Marte (AZ).
- RHP Brady Singer has been getting squared up by righties — .457 total bases per batter faced. Bats to target: Drake Baldwin (ATL), Matt Olson (ATL), and Michael Harris II (ATL).
- RHP Grayson Rodriguez has been getting squared up by righties — .434 total bases per batter faced. Bats to target: Dominic Canzone (SEA), J.P. Crawford (SEA), and Cal Raleigh (SEA).
- LHP Eduardo Rodriguez has been getting squared up by lefties — .423 total bases per batter faced. Bats to target: Jake McCarthy (COL), TJ Rumfield (COL), and Hunter Goodman (COL).
Platoon edges to target
- Drake Baldwin (ATL) — lefty bat vs RHP, .443 against righties this year.
- Pete Crow-Armstrong (CHC) — lefty bat vs RHP, .527 against righties this year.
- Lars Nootbaar (AZ) — lefty bat vs RHP, .351 against righties this year.
- Matt Olson (ATL) — lefty bat vs RHP, .457 against righties this year.
- Ketel Marte (AZ) — lefty bat vs RHP, .352 against righties this year.
Lineup watch
216 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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