Best MLB Total Bases Matchups — Sunday, September 6, 2026
Top total bases spot: Jeff McNeil
Jeff McNeil (ATH) tops the board at 100, facing RHP Bryan Woo. The lefty is racking up bases at .372 TB/PA against righties this year — and .523 over the last two weeks, a solid bat that turns into a total base in about 41% of his trips. And Bryan Woo has been getting squared up by righties lately — .778 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. He's owned Bryan Woo too — .333 across 3 career trips. It all sets up in a neutral park.
The rest of the top of the board
- Rafael Devers (SF) (100) vs RHP Christian Scott: an excellent bat at .548 into an arm vulnerable to the same side (.400).
- Dylan Crews (WSH) (100) vs LHP Justin Wrobleski: a league-average bat at .365 into an arm getting squared up by the same side (1.000).
- Dane Myers (CIN) (100) vs LHP Kyle Harrison: a solid bat at .404 into an arm getting squared up by the same side (.938).
- Mickey Gasper (BOS) (100) vs RHP Kyle Bradish: a strong bat at .474 into an arm getting squared up by the same side (.697).
- Nathan Lukes (TOR) (100) vs RHP Randy Dobnak: a strong bat at .435 into an arm getting squared up by the same side (.724).
- Elly De La Cruz (CIN) (99) vs LHP Kyle Harrison: a strong bat at .421 into an arm getting squared up by the same side (.938).
- James Wood (WSH) (97) vs LHP Justin Wrobleski: a solid bat at .406 into an arm tough on the same side (.000).
Arms giving up extra bases today
- LHP Kyle Harrison has been getting squared up by lefties — .494 total bases per batter faced. Bats to target: Dane Myers (CIN), Elly De La Cruz (CIN), and Sal Stewart (CIN).
- RHP Kyle Bradish has been getting squared up by righties — .440 total bases per batter faced. Bats to target: Mickey Gasper (BOS), Roman Anthony (BOS), and Adley Rutschman (BOS).
- RHP Bryan Woo has been getting squared up by righties — .439 total bases per batter faced. Bats to target: Jeff McNeil (ATH), Lawrence Butler (ATH), and Carlos Cortes (ATH).
- RHP Randy Dobnak has been getting squared up by righties — .436 total bases per batter faced. Bats to target: Nathan Lukes (TOR), Brett Bateman (TOR), and Jesús Sánchez (TOR).
Platoon edges to target
- Jeff McNeil (ATH) — lefty bat vs RHP, .372 against righties this year.
- Rafael Devers (SF) — lefty bat vs RHP, .541 against righties this year.
- Dylan Crews (WSH) — righty bat vs LHP, .422 against lefties this year.
- Dane Myers (CIN) — righty bat vs LHP, .416 against lefties this year.
- Mickey Gasper (BOS) — lefty bat vs RHP, .472 against righties this year.
How it played out
6 of the top 10 total bases matchups landed at least one total base. Top play Jeff McNeil 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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