Best MLB Total Bases Matchups — Thursday, July 9, 2026
Top total bases spot: Rafael Devers
Rafael Devers (SF) tops the board at 100, facing RHP Ryan Feltner. The lefty is racking up bases at .504 TB/PA against righties this year — and .943 over the last two weeks, an excellent bat that turns into a total base in about 52% of his trips. And Ryan Feltner has been getting squared up by righties lately — .762 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 4.3 trips, so the volume's there. He's just .200 in 5 career PA against Ryan Feltner, 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
- Michael Harris II (ATL) (100) vs RHP Mitch Keller: a strong bat at .442 into an arm getting squared up by the same side (.727), hot bat.
- Matt Olson (ATL) (93) vs RHP Mitch Keller: a strong bat at .454 into an arm getting squared up by the same side (.727).
- Elly De La Cruz (CIN) (91) vs LHP Jesús Luzardo: a strong bat at .450 into an arm tough on the same side (.276).
- Luis Arraez (SF) (88) vs RHP Ryan Feltner: a solid bat at .399 into an arm getting squared up by the same side (.762).
- Ozzie Albies (ATL) (88) vs RHP Mitch Keller: a solid bat at .396 into an arm getting squared up by the same side (.727), hot bat.
- Kyle Schwarber (PHI) (87) vs RHP Brady Singer: a solid bat at .400 into an arm getting squared up by the same side (.593).
- Bryce Harper (PHI) (87) vs RHP Brady Singer: a strong bat at .428 into an arm getting squared up by the same side (.593), due to bounce back.
Arms giving up extra bases today
- RHP Mitch Keller has been getting squared up by righties — .460 total bases per batter faced. Bats to target: Michael Harris II (ATL), Matt Olson (ATL), and Ozzie Albies (ATL).
- RHP Janson Junk has been getting squared up by righties — .444 total bases per batter faced. Bats to target: J.P. Crawford (SEA), Dominic Canzone (SEA), and Cal Raleigh (SEA).
- RHP Bailey Ober has been getting squared up by righties — .433 total bases per batter faced. Bats to target: Brayan Rocchio (CLE), Travis Bazzana (CLE), and Chase DeLauter (CLE).
- RHP Brady Singer has been getting squared up by righties — .430 total bases per batter faced. Bats to target: Kyle Schwarber (PHI), Bryce Harper (PHI), and Trea Turner (PHI).
Platoon edges to target
- Rafael Devers (SF) — lefty bat vs RHP, .504 against righties this year.
- Michael Harris II (ATL) — lefty bat vs RHP, .521 against righties this year.
- Matt Olson (ATL) — lefty bat vs RHP, .502 against righties this year.
- Elly De La Cruz (CIN) — righty bat vs LHP, .613 against lefties this year.
- Luis Arraez (SF) — lefty bat vs RHP, .410 against righties this year.
How it played out
8 of the top 10 total bases matchups landed at least one total base. Top play Rafael Devers finished with 3 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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