Best MLB Hits Matchups — Tuesday, September 29, 2026
Top hits spot: Ozzie Albies
Ozzie Albies (ATL) tops the board at 100, facing LHP Jesús Luzardo. The righty is hitting .255 H/PA against lefties this year — and .150 over the last two weeks, a strong bat that turns into a hit in about 25% of his trips. And Jesús Luzardo has been thin against lefties lately. One catch: the bullpen behind him has been stingy to that side late. He's hitting in a spot worth about 4.5 trips, so the volume's there. He's just .185 in 27 career PA against Jesús Luzardo, but that's a tiny sample and the matchup says regression. It all sets up in a neutral park.
The rest of the top of the board
- Paul Goldschmidt (NYY) (96) vs LHP Payton Tolle: a strong bat at .268 into an arm mostly holding up against the same side (.222).
- Austin Hays (SD) (95) vs LHP Matthew Boyd: an excellent bat at .285 into an arm tough on the same side (.200).
- Mauricio Dubón (ATL) (92) vs LHP Jesús Luzardo: a solid bat at .247 into an arm with little track record against the same side.
- Spencer Jones (NYY) (88) vs LHP Payton Tolle: an excellent bat at .291 into an arm giving up plenty to the same side (.250).
- Tommy Pham (CWS) (88) vs RHP AJ Blubaugh: a solid bat at .245 into an arm tough on the same side (.188), due to bounce back.
- Yordan Alvarez (HOU) (87) vs LHP Hagen Smith: a solid bat at .247 into an arm mostly holding up against the same side (.235), hot bat.
- Alec Bohm (PHI) (86) vs LHP Chris Sale: a strong bat at .265 into an arm tough on the same side (.158), due to bounce back.
Platoon edges to target
- Ozzie Albies (ATL) — righty bat vs LHP, .255 against lefties this year.
- Paul Goldschmidt (NYY) — righty bat vs LHP, .263 against lefties this year.
- Austin Hays (SD) — righty bat vs LHP, .346 against lefties this year.
- Mauricio Dubón (ATL) — righty bat vs LHP, .238 against lefties this year.
- Alec Bohm (PHI) — righty bat vs LHP, .275 against lefties this year.
Hot bats and bounce-back spots
Swinging hot bats: Yordan Alvarez (HOU), Sam Antonacci (CWS), and Christian Walker (HOU). Cold but due to bounce back: Ozzie Albies (ATL), Tommy Pham (CWS), Alec Bohm (PHI), Austin Riley (ATL), and Nico Hoerner (CHC).
Lineup watch
72 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 hits matchups
Each score (0–100) starts with the hitter's hits 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 hits board is
The Hits board projects the chance a hitter records at least one hit, matchup-adjusted. 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:
- The hitter's contact rate vs this pitcher's hand.
- The starter's hit-suppression and the park.
- Recent form, without over-reacting to a hot or cold week.
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?
Hits is an efficient market — the book prices a 1+ hit line about as well as we do, so we publish the WizLine as graded transparency, not a play. Our projection is sharp (the ranking is well-calibrated); the book just isn't leaving room on it.
How to use it
Use it to see who the model likes to square one up, and how that squares with the price — but there's no systematic edge here, so treat it as research, not a lean.
Everything here is a research signal from the model, graded in public — not betting advice, and no outcome is guaranteed.
Learn more: How the model works · The picks story · Today's plays