Best MLB Total Bases Matchups — Tuesday, September 22, 2026
Top total bases spot: Ketel Marte
Ketel Marte (AZ) tops the board at 100, facing LHP Kyle Freeland. The righty is racking up bases at .517 TB/PA against lefties this year — and .333 over the last two weeks, a solid bat that turns into a total base in about 39% of his trips. And Kyle Freeland has been getting squared up by lefties lately — .938 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. He's a fine .293 in 58 career PA against Kyle Freeland. It all sets up in a neutral park.
The rest of the top of the board
- Pete Crow-Armstrong (CHC) (96) vs RHP Janson Junk: an excellent bat at .534 into an arm mostly containing the same side (.318).
- Nolan Arenado (AZ) (93) vs LHP Kyle Freeland: an excellent bat at .503 into an arm getting squared up by the same side (.938), hot bat.
- Gabriel Moreno (AZ) (87) vs LHP Kyle Freeland: a league-average bat at .349 into an arm getting squared up by the same side (.938).
- Seiya Suzuki (CHC) (82) vs RHP Janson Junk: a solid bat at .370 into an arm getting squared up by the same side (1.167).
- Geraldo Perdomo (AZ) (81) vs LHP Kyle Freeland: a league-average bat at .341 into an arm getting squared up by the same side (.938), hot bat.
- Alex Bregman (CHC) (79) vs RHP Janson Junk: a solid bat at .415 into an arm getting squared up by the same side (1.167).
- Drake Baldwin (ATL) (79) vs LHP Brandon Williamson: a solid bat at .370 into an arm vulnerable to the same side (.391).
Arms giving up extra bases today
- LHP Kyle Freeland has been getting squared up by lefties — .477 total bases per batter faced. Bats to target: Ketel Marte (AZ), Nolan Arenado (AZ), and Gabriel Moreno (AZ).
- LHP Sean Manaea has been vulnerable to lefties — .411 total bases per batter faced. Bats to target: Josh Jung (TEX), Corey Seager (TEX), and Wyatt Langford (TEX).
- RHP Max Scherzer has been vulnerable to righties — .409 total bases per batter faced. Bats to target: Dylan Beavers (BAL), Gunnar Henderson (BAL), and Pete Alonso (BAL).
- RHP Anthony Molina has been vulnerable to righties — .406 total bases per batter faced. Bats to target: Walker Jenkins (MIN), Brooks Lee (MIN), and Kody Clemens (MIN).
Platoon edges to target
- Ketel Marte (AZ) — righty bat vs LHP, .517 against lefties this year.
- Pete Crow-Armstrong (CHC) — lefty bat vs RHP, .527 against righties this year.
- Nolan Arenado (AZ) — righty bat vs LHP, .487 against lefties this year.
- Gabriel Moreno (AZ) — righty bat vs LHP, .375 against lefties this year.
- Geraldo Perdomo (AZ) — righty bat vs LHP, .282 against lefties this year.
Lineup watch
288 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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