Best MLB Hits Matchups — Sunday, September 6, 2026
Top hits spot: Fernando Tatis Jr.
Fernando Tatis Jr. (SD) tops the board at 100, facing RHP Gerrit Cole. The righty is hitting .247 H/PA against righties this year — and .237 over the last two weeks, a solid bat that turns into a hit in about 25% of his trips. And Gerrit Cole has been getting tattooed by righties lately — .290 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 3 career PA against Gerrit Cole, but that's a tiny sample and the matchup says regression. It all sets up in a park that leans hitter.
The rest of the top of the board
- James Wood (WSH) (100) vs LHP Justin Wrobleski: a solid bat at .244 into an arm tough on the same side (.000).
- Iván Herrera (STL) (100) vs RHP Tanner Gordon: a solid bat at .233 into an arm getting tattooed by the same side (.333), hitter's park.
- Sam Antonacci (CWS) (100) vs RHP Bailey Ober: a solid bat at .231 into an arm tough on the same side (.130).
- Troy Johnston (COL) (100) vs RHP Kyle Leahy: a strong bat at .263 into an arm mostly holding up against the same side (.210), hitter's park.
- Bryan Torres (STL) (98) vs RHP Tanner Gordon: a solid bat at .244 into an arm tough on the same side (.111), hitter's park.
- Freddie Freeman (LAD) (97) vs LHP Andrew Alvarez: a strong bat at .252 into an arm tough on the same side (.100), due to bounce back.
- Alec Burleson (STL) (96) vs RHP Tanner Gordon: a strong bat at .262 into an arm tough on the same side (.111), hitter's park.
Pitchers getting tattooed today
- RHP Tanner Gordon has been getting tattooed by righties — .292 hits per batter faced. Bats to target: Iván Herrera (STL), Bryan Torres (STL), and Alec Burleson (STL).
- RHP Aaron Nola has been vulnerable to righties — .272 hits per batter faced. Bats to target: Ronald Acuña Jr. (ATL), Drake Baldwin (ATL), and Mauricio Dubón (ATL).
- LHP Eduardo Rodriguez has been giving up plenty to lefties — .256 hits per batter faced. Bats to target: Yordan Alvarez (HOU), Jeremy Peña (HOU), and Isaac Paredes (HOU).
- RHP Kyle Leahy has been giving up plenty to righties — .255 hits per batter faced. Bats to target: Troy Johnston (COL), Jake McCarthy (COL), and TJ Rumfield (COL).
Platoon edges to target
- Sam Antonacci (CWS) — lefty bat vs RHP, .230 against righties this year.
- Troy Johnston (COL) — lefty bat vs RHP, .268 against righties this year.
- Bryan Torres (STL) — lefty bat vs RHP, .242 against righties this year.
- Alec Burleson (STL) — lefty bat vs RHP, .278 against righties this year.
- Jake McCarthy (COL) — lefty bat vs RHP, .258 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: Iván Herrera (STL) at 100.
Hot bats and bounce-back spots
Swinging hot bats: Brady House (WSH), TJ Rumfield (COL), Teoscar Hernández (LAD), Leo Bernal (STL), Jeff McNeil (ATH), and Joshua Báez (STL). Cold but due to bounce back: Fernando Tatis Jr. (SD), Freddie Freeman (LAD), Will Smith (LAD), Mickey Moniak (COL), and Andrew Benintendi (CWS).
How it played out
9 of the top 10 hits matchups landed at least one hit. Top play Fernando Tatis Jr. 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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