Best MLB Total Bases Matchups — Friday, August 7, 2026
Top total bases spot: Dillon Dingler
Dillon Dingler (DET) tops the board at 100, facing RHP JT Brubaker. The righty is racking up bases at .536 TB/PA against righties this year — and .667 over the last two weeks, a strong bat that turns into a total base in about 47% of his trips. And JT Brubaker has been vulnerable to righties lately — .400 total bases per batter faced. The bullpen behind him is roughly average to that side. He's hitting in a spot worth about 4.5 trips, so the volume's there. No real history against JT Brubaker. It all sets up in a neutral park.
The rest of the top of the board
- Shohei Ohtani (LAD) (100) vs RHP Merrill Kelly: a strong bat at .443 into an arm vulnerable to the same side (.405), hot bat.
- Alec Burleson (STL) (97) vs RHP Ryan Feltner: a strong bat at .459 into an arm getting squared up by the same side (.500), hot bat.
- Jordan Walker (STL) (96) vs RHP Ryan Feltner: a league-average bat at .364 into an arm getting squared up by the same side (.842), hot bat.
- Junior Caminero (TB) (92) vs RHP Logan Gilbert: an excellent bat at .484 into an arm mostly containing the same side (.320).
- Gleyber Torres (DET) (91) vs RHP JT Brubaker: a solid bat at .408 into an arm vulnerable to the same side (.400), hot bat.
- Kyle Stowers (MIA) (89) vs RHP George Klassen: a strong bat at .447 into an arm with little track record against the same side.
- Ceddanne Rafaela (BOS) (85) vs RHP Jack Perkins: a strong bat at .465 into an arm giving up bases to the same side (.360).
Arms giving up extra bases today
- RHP Nathan Eovaldi has been vulnerable to righties — .402 total bases per batter faced. Bats to target: Pete Alonso (BAL), Gunnar Henderson (BAL), and Tyler O'Neill (BAL).
- RHP Zack Wheeler has been vulnerable to righties — .402 total bases per batter faced. Bats to target: Alejandro Kirk (TOR), George Springer (TOR), and Kazuma Okamoto (TOR).
- RHP Ryan Feltner has been vulnerable to righties — .400 total bases per batter faced. Bats to target: Alec Burleson (STL), Jordan Walker (STL), and JJ Wetherholt (STL).
- RHP Merrill Kelly has been vulnerable to righties — .393 total bases per batter faced. Bats to target: Shohei Ohtani (LAD), Freddie Freeman (LAD), and Max Muncy (LAD).
Platoon edges to target
- Shohei Ohtani (LAD) — lefty bat vs RHP, .434 against righties this year.
- Alec Burleson (STL) — lefty bat vs RHP, .498 against righties this year.
- Kyle Stowers (MIA) — lefty bat vs RHP, .440 against righties this year.
- Jung Hoo Lee (SF) — lefty bat vs RHP, .436 against righties this year.
- Joc Pederson (TEX) — lefty bat vs RHP, .439 against righties this year.
How it played out
6 of the top 10 total bases matchups landed at least one total base. Top play Dillon Dingler finished with 0 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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