Best MLB Hits Matchups — Thursday, August 20, 2026
Top hits spot: Chandler Simpson
Chandler Simpson (TB) tops the board at 100, facing RHP Shane Bieber. The lefty is hitting .304 H/PA against righties this year — and .385 over the last two weeks, an excellent bat that turns into a hit in about 29% of his trips. And Shane Bieber has been mostly holding up against righties lately — .229 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 4.7 trips, so the volume's there. He's just .000 in 6 career PA against Shane Bieber, 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
- Yordan Alvarez (HOU) (100) vs RHP Grayson Rodriguez: a strong bat at .251 into an arm tough on the same side (.200).
- Alec Burleson (STL) (100) vs RHP Brady Singer: an excellent bat at .270 into an arm getting tattooed by the same side (.359), hot bat.
- Pete Alonso (BAL) (100) vs RHP Gerrit Cole: a strong bat at .254 into an arm mostly holding up against the same side (.227), hot bat.
- Henry Bolte (ATH) (96) vs RHP Randy Dobnak: a solid bat at .239 into an arm mostly holding up against the same side (.227), hot bat.
- Abimelec Ortiz (WSH) (95) vs RHP Jacob deGrom: a strong bat at .260 into an arm mostly holding up against the same side (.235).
- Ronald Acuña Jr. (ATL) (95) vs LHP Anthony Kay: a solid bat at .245 into an arm vulnerable to the same side (.286).
- Yandy Díaz (TB) (95) vs RHP Shane Bieber: an excellent bat at .270 into an arm tough on the same side (.154), hot bat.
Pitchers getting tattooed today
- LHP Robert Gasser has been vulnerable to lefties — .271 hits per batter faced. Bats to target: Randy Arozarena (SEA), Julio Rodríguez (SEA), and Josh Naylor (SEA).
- RHP Brady Singer has been vulnerable to righties — .265 hits per batter faced. Bats to target: Alec Burleson (STL), JJ Wetherholt (STL), and Jordan Walker (STL).
Platoon edges to target
- Chandler Simpson (TB) — lefty bat vs RHP, .304 against righties this year.
- Yordan Alvarez (HOU) — lefty bat vs RHP, .273 against righties this year.
- Alec Burleson (STL) — lefty bat vs RHP, .290 against righties this year.
- Abimelec Ortiz (WSH) — lefty bat vs RHP, .289 against righties this year.
- Jeff McNeil (ATH) — lefty bat vs RHP, .255 against righties this year.
Hot bats and bounce-back spots
Swinging hot bats: Chandler Simpson (TB), Alec Burleson (STL), Pete Alonso (BAL), Henry Bolte (ATH), Yandy Díaz (TB), and Alejandro Kirk (TOR). Cold but due to bounce back: Brice Turang (MIL), Nick Loftin (KC), Gary Sánchez (MIL), Daulton Varsho (HOU), and Julio Rodríguez (SEA).
How it played out
6 of the top 10 hits matchups landed at least one hit. Top play Chandler Simpson 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 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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