Best MLB Hits Matchups — Monday, August 31, 2026
Top hits spot: Pete Alonso
Pete Alonso (BAL) tops the board at 100, facing RHP Tanner Gordon. The righty is hitting .234 H/PA against righties this year — and .278 over the last two weeks, a solid bat that turns into a hit in about 24% of his trips. And Tanner Gordon has been getting tattooed by righties lately — .467 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 4.5 trips, so the volume's there. He's just .000 in 2 career PA against Tanner Gordon, but that's a tiny sample and the matchup says regression. It all sets up in a hitter's park.
The rest of the top of the board
- Luis Arraez (PHI) (100) vs RHP Brandon Pfaadt: an excellent bat at .287 into an arm getting tattooed by the same side (.333).
- Drake Baldwin (ATL) (93) vs RHP Anthony Molina: a strong bat at .253 into an arm tough on the same side (.143), hot bat.
- Jake McCarthy (COL) (93) vs LHP Cade Povich: a solid bat at .246 into an arm with little track record against the same side, hitter's park.
- Zach Neto (LAA) (92) vs RHP Elmer Rodríguez: a league-average bat at .222 into an arm tough on the same side (.067).
- Trea Turner (PHI) (91) vs RHP Brandon Pfaadt: a strong bat at .252 into an arm tough on the same side (.160).
- Gabriel Moreno (AZ) (91) vs RHP Aaron Nola: a strong bat at .254 into an arm mostly holding up against the same side (.210).
- Jackson Holliday (BAL) (86) vs RHP Tanner Gordon: a league-average bat at .221 into an arm mostly holding up against the same side (.210), hitter's park.
Pitchers getting tattooed today
- RHP Tanner Gordon has been getting tattooed by righties — .296 hits per batter faced. Bats to target: Pete Alonso (BAL), Jackson Holliday (BAL), and Gunnar Henderson (BAL).
- RHP Anthony Molina has been getting tattooed by righties — .292 hits per batter faced. Bats to target: Drake Baldwin (ATL), Michael Harris II (ATL), and Matt Olson (ATL).
- RHP Bryce Elder has been vulnerable to righties — .270 hits per batter faced. Bats to target: Jonah Cox (SF), Rafael Devers (SF), and Jung Hoo Lee (SF).
- LHP Cade Povich has been vulnerable to lefties — .264 hits per batter faced. Bats to target: Jake McCarthy (COL), TJ Rumfield (COL), and Hunter Goodman (COL).
Platoon edges to target
- Luis Arraez (PHI) — lefty bat vs RHP, .295 against righties this year.
- Drake Baldwin (ATL) — lefty bat vs RHP, .260 against righties this year.
- Jackson Holliday (BAL) — lefty bat vs RHP, .194 against righties this year.
- Wade Meckler (LAA) — lefty bat vs RHP, .271 against righties this year.
- Luis García Jr. (NYY) — lefty bat vs RHP, .281 against righties this year.
Best parks to hit in today
Coors Field is playing as a real hitter's park today (+9% hits park). Top bat there: Pete Alonso (BAL) at 100.
Hot bats and bounce-back spots
Swinging hot bats: Drake Baldwin (ATL), TJ Rumfield (COL), Geraldo Perdomo (AZ), Otto Lopez (MIA), Junior Caminero (TB), and Rafael Devers (SF). Cold but due to bounce back: Colt Keith (DET), Isaac Paredes (HOU), Drew Gilbert (SF), Osleivis Basabe (SF), and Dominic Canzone (SEA).
How it played out
6 of the top 10 hits matchups landed at least one hit. Top play Pete Alonso finished with 0 hits. 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 our number 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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