Best MLB Total Bases Matchups — Wednesday, July 1, 2026
Top total bases spot: Otto Lopez
Otto Lopez (MIA) tops the board at 100, facing LHP Kyle Freeland. The righty is racking up bases at .634 TB/PA against lefties this year — and .667 over the last two weeks, a strong bat that turns into a total base in about 42% of his trips. And Kyle Freeland has been getting squared up by lefties lately — .643 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 .091 in 11 career PA against Kyle Freeland, 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
- Luis Arraez (SF) (100) vs RHP Zac Gallen: a strong bat at .465 into an arm getting squared up by the same side (.576), hot bat.
- Nathan Lukes (TOR) (93) vs RHP Freddy Peralta: a strong bat at .430 into an arm getting squared up by the same side (.731), due to bounce back.
- Esteury Ruiz (MIA) (92) vs LHP Kyle Freeland: a solid bat at .406 into an arm getting squared up by the same side (.643), due to bounce back.
- Shohei Ohtani (LAD) (91) vs RHP J.T. Ginn: a strong bat at .453 into an arm getting squared up by the same side (.455), hot bat.
- Rafael Devers (SF) (89) vs RHP Zac Gallen: an excellent bat at .499 into an arm getting squared up by the same side (.576), hot bat.
- Anthony Seigler (BOS) (84) vs RHP Brad Lord: a solid bat at .400 into an arm getting squared up by the same side (.667), hot bat.
- Kerry Carpenter (DET) (84) vs RHP Will Warren: a strong bat at .445 into an arm getting squared up by the same side (.542), hot bat.
Arms giving up extra bases today
- LHP Kyle Freeland has been getting squared up by lefties — .475 total bases per batter faced. Bats to target: Otto Lopez (MIA), Esteury Ruiz (MIA), and Heriberto Hernández (MIA).
- RHP Freddy Peralta has been getting squared up by righties — .434 total bases per batter faced. Bats to target: Nathan Lukes (TOR), Daulton Varsho (TOR), and Kazuma Okamoto (TOR).
- LHP Andrew Abbott has been getting squared up by lefties — .429 total bases per batter faced. Bats to target: Jackson Chourio (MIL), William Contreras (MIL), and Andrew Vaughn (MIL).
- RHP Zac Gallen has been getting squared up by righties — .423 total bases per batter faced. Bats to target: Luis Arraez (SF), Rafael Devers (SF), and Casey Schmitt (SF).
Platoon edges to target
- Otto Lopez (MIA) — righty bat vs LHP, .634 against lefties this year.
- Luis Arraez (SF) — lefty bat vs RHP, .432 against righties this year.
- Nathan Lukes (TOR) — lefty bat vs RHP, .445 against righties this year.
- Esteury Ruiz (MIA) — righty bat vs LHP, .510 against lefties this year.
- Shohei Ohtani (LAD) — lefty bat vs RHP, .445 against righties this year.
How it played out
6 of the top 10 total bases matchups landed at least one total base. Top play Otto Lopez finished with 1 total base. 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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