Best MLB Total Bases Matchups — Monday, June 29, 2026
Top total bases spot: Esteury Ruiz
Esteury Ruiz (MIA) tops the board at 100, facing LHP Sean Sullivan. The righty is racking up bases at .556 TB/PA against lefties this year — and .909 over the last two weeks, a strong bat that turns into a total base in about 46% of his trips. And Sean Sullivan has been thin against lefties lately. 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 Sean Sullivan. It all sets up in a hitter's park, weather helping.
The rest of the top of the board
- Pete Crow-Armstrong (CHC) (100) vs RHP Griffin Canning: an excellent bat at .517 into an arm vulnerable to the same side (.412), due to bounce back.
- Shea Langeliers (ATH) (100) vs LHP Eric Lauer: a strong bat at .442 into an arm tough on the same side (.231).
- Jake McCarthy (COL) (99) vs RHP Sandy Alcantara: a strong bat at .443 into an arm tough on the same side (.194), hitter's park.
- Zach Neto (LAA) (98) vs RHP George Kirby: a solid bat at .411 into an arm giving up bases to the same side (.350), due to bounce back.
- Otto Lopez (MIA) (93) vs LHP Sean Sullivan: a solid bat at .400 into an arm with little track record against the same side, hitter's park.
- Dominic Canzone (SEA) (91) vs RHP Ryan Johnson: a solid bat at .415 into an arm giving up bases to the same side (.364).
- TJ Rumfield (COL) (90) vs RHP Sandy Alcantara: a strong bat at .470 into an arm tough on the same side (.194), hitter's park, hot bat.
Arms giving up extra bases today
- RHP Aaron Nola has been getting squared up by righties — .439 total bases per batter faced. Bats to target: Brandon Lowe (PIT), Bryan Reynolds (PIT), and Konnor Griffin (PIT).
- RHP Zebby Matthews has been getting squared up by righties — .432 total bases per batter faced. Bats to target: Yordan Alvarez (HOU), Jose Altuve (HOU), and Taylor Trammell (HOU).
- LHP Sean Manaea has been vulnerable to lefties — .417 total bases per batter faced. Bats to target: George Springer (TOR), Kazuma Okamoto (TOR), and Ernie Clement (TOR).
- RHP Miles Mikolas has been vulnerable to righties — .415 total bases per batter faced. Bats to target: Willson Contreras (BOS), Masataka Yoshida (BOS), and Ceddanne Rafaela (BOS).
Platoon edges to target
- Esteury Ruiz (MIA) — righty bat vs LHP, .556 against lefties this year.
- Pete Crow-Armstrong (CHC) — lefty bat vs RHP, .477 against righties this year.
- Shea Langeliers (ATH) — righty bat vs LHP, .593 against lefties this year.
- Jake McCarthy (COL) — lefty bat vs RHP, .438 against righties this year.
- Otto Lopez (MIA) — righty bat vs LHP, .582 against lefties this year.
Best parks for total bases today
Coors Field is playing as a real hitter's park today (+6% extra-base park). Top bat there: Esteury Ruiz (MIA) at 100.
How it played out
8 of the top 10 total bases matchups landed at least one total base. Top play Esteury Ruiz 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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