Best MLB Hits Matchups — Friday, August 7, 2026
Top hits spot: Alec Burleson
Alec Burleson (STL) tops the board at 100, facing RHP Ryan Feltner. The lefty is hitting .291 H/PA against righties this year — and .375 over the last two weeks, an excellent bat that turns into a hit in about 29% of his trips. And Ryan Feltner has been getting tattooed by righties lately — .300 hits 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 just .167 in 6 career PA against Ryan Feltner, but that's a tiny sample and the matchup says regression. It all sets up in a neutral park, weather helping.
The rest of the top of the board
- Jung Hoo Lee (SF) (100) vs RHP Keider Montero: an excellent bat at .277 into an arm getting tattooed by the same side (.296), hot bat.
- Freddie Freeman (LAD) (100) vs RHP Merrill Kelly: an excellent bat at .299 into an arm getting tattooed by the same side (.297), hot bat.
- Kevin McGonigle (DET) (96) vs RHP JT Brubaker: a strong bat at .264 into an arm vulnerable to the same side (.273).
- Dillon Dingler (DET) (94) vs RHP JT Brubaker: a strong bat at .270 into an arm tough on the same side (.200), hot bat.
- Gleyber Torres (DET) (91) vs RHP JT Brubaker: a strong bat at .254 into an arm tough on the same side (.200), hot bat.
- Jordan Walker (STL) (90) vs RHP Ryan Feltner: a solid bat at .247 into an arm getting tattooed by the same side (.421), hot bat.
- Shohei Ohtani (LAD) (88) vs RHP Merrill Kelly: a strong bat at .252 into an arm getting tattooed by the same side (.297), hot bat.
Pitchers getting tattooed today
- RHP Shane Baz has been vulnerable to righties — .262 hits per batter faced. Bats to target: Joc Pederson (TEX), Corey Seager (TEX), and Ezequiel Duran (TEX).
- RHP George Klassen has been giving up plenty to righties — .258 hits per batter faced. Bats to target: Kyle Stowers (MIA), Otto Lopez (MIA), and Xavier Edwards (MIA).
- RHP Kyle Leahy has been giving up plenty to righties — .257 hits per batter faced. Bats to target: Jake McCarthy (COL), Mickey Moniak (COL), and Cole Carrigg (COL).
Platoon edges to target
- Alec Burleson (STL) — lefty bat vs RHP, .291 against righties this year.
- Jung Hoo Lee (SF) — lefty bat vs RHP, .292 against righties this year.
- Freddie Freeman (LAD) — lefty bat vs RHP, .289 against righties this year.
- Kevin McGonigle (DET) — lefty bat vs RHP, .248 against righties this year.
- Shohei Ohtani (LAD) — lefty bat vs RHP, .238 against righties this year.
Hot bats and bounce-back spots
Swinging hot bats: Alec Burleson (STL), Jung Hoo Lee (SF), Freddie Freeman (LAD), Dillon Dingler (DET), Gleyber Torres (DET), and Jordan Walker (STL). Cold but due to bounce back: Jackson Holliday (BAL), Jo Adell (CLE), Ozzie Albies (ATL), Cole Young (SEA), and Daylen Lile (WSH).
How it played out
5 of the top 10 hits matchups landed at least one hit. Top play Alec Burleson 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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