Best MLB Hits Matchups — Thursday, September 10, 2026
Top hits spot: Luis Arraez
Luis Arraez (PHI) tops the board at 100, facing RHP Cristian Javier. The lefty is hitting .289 H/PA against righties this year — and .107 over the last two weeks, a strong bat that turns into a hit in about 27% of his trips. And Cristian Javier has been mostly holding up against righties lately — .217 hits per batter faced. One catch: the bullpen behind him has been stingy to that side late. He's hitting in a spot worth about 4.3 trips, so the volume's there. He's a fine .250 in 4 career PA against Cristian Javier. It all sets up in a neutral park, weather helping.
The rest of the top of the board
- Konnor Griffin (PIT) (100) vs LHP Hagen Smith: a solid bat at .250 into an arm tough on the same side (.095).
- Drake Baldwin (ATL) (100) vs RHP Nick Martinez: a strong bat at .263 into an arm vulnerable to the same side (.280).
- Trea Turner (PHI) (98) vs RHP Cristian Javier: a solid bat at .246 into an arm tough on the same side (.133), hot bat.
- Luis García Jr. (NYY) (98) vs RHP Ryan Feltner: a strong bat at .264 into an arm getting tattooed by the same side (.348).
- Jeremy Peña (HOU) (96) vs RHP Zack Wheeler: a solid bat at .249 into an arm tough on the same side (.154).
- Jake McCarthy (COL) (95) vs LHP Max Fried: a solid bat at .250 into an arm tough on the same side (.000).
- Yandy Díaz (TB) (95) vs LHP Martín Pérez: a strong bat at .258 into an arm mostly holding up against the same side (.222).
Platoon edges to target
- Luis Arraez (PHI) — lefty bat vs RHP, .289 against righties this year.
- Konnor Griffin (PIT) — righty bat vs LHP, .262 against lefties this year.
- Drake Baldwin (ATL) — lefty bat vs RHP, .262 against righties this year.
- Luis García Jr. (NYY) — lefty bat vs RHP, .278 against righties this year.
- Yandy Díaz (TB) — righty bat vs LHP, .264 against lefties this year.
Hot bats and bounce-back spots
Swinging hot bats: Trea Turner (PHI), Corey Seager (TEX), and Kyle Schwarber (PHI). Cold but due to bounce back: Ben Rice (NYY), Cole Carrigg (COL), J.P. Crawford (SEA), Michael Harris II (ATL), and Ezequiel Duran (TEX).
How it played out
7 of the top 10 hits matchups landed at least one hit. Top play Luis Arraez finished with 1 hit. 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 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.
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