Best MLB Total Bases Matchups — Tuesday, September 8, 2026
Top total bases spot: Jackson Chourio
Jackson Chourio (MIL) tops the board at 100, facing LHP David Peterson. The righty is racking up bases at .450 TB/PA against lefties this year — and .538 over the last two weeks, a solid bat that turns into a total base in about 42% of his trips. And David Peterson has been getting squared up by lefties lately — .500 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 David Peterson too — .417 across 12 career trips. It all sets up in a neutral park.
The rest of the top of the board
- Joc Pederson (TEX) (99) vs RHP Bryce Miller: a solid bat at .416 into an arm getting squared up by the same side (.500).
- Jonah Cox (SF) (90) vs LHP Quinn Mathews: a strong bat at .438 into an arm tough on the same side (.237).
- Francisco Lindor (NYM) (90) vs RHP Sandy Alcantara: a solid bat at .408 into an arm getting squared up by the same side (.431).
- Heriberto Hernández (MIA) (90) vs LHP Sean Manaea: a solid bat at .394 into an arm getting squared up by the same side (.591).
- Tommy Edman (LAD) (89) vs LHP Nick Lodolo: a league-average bat at .366 into an arm getting squared up by the same side (.514).
- Ben Rice (NYY) (86) vs RHP Gabriel Hughes: a strong bat at .432 into an arm with little track record against the same side.
- Kevin McGonigle (DET) (86) vs RHP Dean Kremer: a league-average bat at .347 into an arm getting squared up by the same side (.483).
Arms giving up extra bases today
- LHP Sean Manaea has been getting squared up by lefties — .442 total bases per batter faced. Bats to target: Heriberto Hernández (MIA), Otto Lopez (MIA), and Javier Sanoja (MIA).
- RHP Michael Wacha has been vulnerable to righties — .411 total bases per batter faced. Bats to target: Gabriel Moreno (AZ), Lars Nootbaar (AZ), and Ketel Marte (AZ).
- LHP Nick Lodolo has been vulnerable to lefties — .406 total bases per batter faced. Bats to target: Tommy Edman (LAD), Mookie Betts (LAD), and Freddie Freeman (LAD).
- RHP Dean Kremer has been vulnerable to righties — .404 total bases per batter faced. Bats to target: Kevin McGonigle (DET), Riley Greene (DET), and Colt Keith (DET).
Platoon edges to target
- Jackson Chourio (MIL) — righty bat vs LHP, .450 against lefties this year.
- Joc Pederson (TEX) — lefty bat vs RHP, .428 against righties this year.
- Jonah Cox (SF) — righty bat vs LHP, .527 against lefties this year.
- Francisco Lindor (NYM) — lefty bat vs RHP, .394 against righties this year.
- Heriberto Hernández (MIA) — righty bat vs LHP, .473 against lefties this year.
How it played out
6 of the top 10 total bases matchups landed at least one total base. Top play Jackson Chourio finished with 8 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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