Best MLB Total Bases Matchups — Monday, August 24, 2026
Top total bases spot: Abimelec Ortiz
Abimelec Ortiz (WSH) tops the board at 100, facing RHP Ryan Feltner. The lefty is racking up bases at .545 TB/PA against righties this year — and .561 over the last two weeks, a strong bat that turns into a total base in about 44% of his trips. And Ryan Feltner has been getting squared up by righties lately — .581 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 4.5 trips, so the volume's there. No real history against Ryan Feltner. It all sets up in a neutral park.
The rest of the top of the board
- Pete Crow-Armstrong (CHC) (97) vs RHP Merrill Kelly: a strong bat at .423 into an arm getting squared up by the same side (.581).
- Daylen Lile (WSH) (89) vs RHP Ryan Feltner: a league-average bat at .352 into an arm getting squared up by the same side (.581).
- Carlos Cortes (ATH) (80) vs RHP Zebby Matthews: a league-average bat at .364 into an arm getting squared up by the same side (.542).
- Corbin Carroll (AZ) (80) vs RHP Kevin Gausman: a solid bat at .418 into an arm getting squared up by the same side (.586).
- Keibert Ruiz (WSH) (80) vs RHP Ryan Feltner: a solid bat at .395 into an arm getting squared up by the same side (.581).
- Munetaka Murakami (CWS) (78) vs RHP Kumar Rocker: a solid bat at .404 into an arm getting squared up by the same side (.511).
- Gabriel Moreno (AZ) (76) vs RHP Kevin Gausman: a strong bat at .433 into an arm getting squared up by the same side (.429).
Arms giving up extra bases today
- RHP Merrill Kelly has been getting squared up by righties — .428 total bases per batter faced. Bats to target: Pete Crow-Armstrong (CHC), Michael Busch (CHC), and Alex Bregman (CHC).
- RHP Ryan Feltner has been vulnerable to righties — .418 total bases per batter faced. Bats to target: Abimelec Ortiz (WSH), Daylen Lile (WSH), and Keibert Ruiz (WSH).
- RHP Kumar Rocker has been vulnerable to righties — .417 total bases per batter faced. Bats to target: Munetaka Murakami (CWS), Sam Antonacci (CWS), and Miguel Vargas (CWS).
- RHP Zebby Matthews has been vulnerable to righties — .413 total bases per batter faced. Bats to target: Carlos Cortes (ATH), Lawrence Butler (ATH), and Zack Gelof (ATH).
Platoon edges to target
- Abimelec Ortiz (WSH) — lefty bat vs RHP, .545 against righties this year.
- Pete Crow-Armstrong (CHC) — lefty bat vs RHP, .481 against righties this year.
- Daylen Lile (WSH) — lefty bat vs RHP, .411 against righties this year.
- Carlos Cortes (ATH) — lefty bat vs RHP, .351 against righties this year.
- Corbin Carroll (AZ) — lefty bat vs RHP, .385 against righties this year.
Lineup watch
180 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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