Best MLB Hits Matchups — Sunday, September 13, 2026
Top hits spot: Fernando Tatis Jr.
Fernando Tatis Jr. (SD) tops the board at 100, facing RHP Logan Webb. The righty is hitting .251 H/PA against righties this year — and .243 over the last two weeks, a solid bat that turns into a hit in about 25% of his trips. And Logan Webb has been vulnerable to righties lately — .278 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 a fine .225 in 40 career PA against Logan Webb. It all sets up in a park that leans hitter, weather helping.
The rest of the top of the board
- Steven Kwan (CLE) (100) vs RHP Joe Ryan: a strong bat at .253 into an arm vulnerable to the same side (.273), hot bat.
- Dane Myers (CIN) (99) vs LHP Robert Gasser: a strong bat at .268 into an arm tough on the same side (.194).
- Konnor Griffin (PIT) (98) vs LHP Matthew Boyd: an excellent bat at .275 into an arm vulnerable to the same side (.281).
- Elly De La Cruz (CIN) (97) vs LHP Robert Gasser: an excellent bat at .272 into an arm tough on the same side (.194).
- Gabriel Moreno (AZ) (96) vs RHP Cal Quantrill: a strong bat at .265 into an arm tough on the same side (.148).
- Michael Harris II (ATL) (96) vs RHP Andrew Painter: a strong bat at .251 into an arm giving up plenty to the same side (.250).
- Henry Bolte (ATH) (96) vs RHP Bryce Miller: a solid bat at .244 into an arm tough on the same side (.118), hot bat.
Pitchers getting tattooed today
RHP Andrew Painter has been giving up plenty to righties — .260 hits per batter faced. Bats to target: Michael Harris II (ATL), Ronald Acuña Jr. (ATL), and Drake Baldwin (ATL).
Platoon edges to target
- Steven Kwan (CLE) — lefty bat vs RHP, .251 against righties this year.
- Dane Myers (CIN) — righty bat vs LHP, .266 against lefties this year.
- Konnor Griffin (PIT) — righty bat vs LHP, .296 against lefties this year.
- Elly De La Cruz (CIN) — righty bat vs LHP, .309 against lefties this year.
- Michael Harris II (ATL) — lefty bat vs RHP, .281 against righties this year.
Hot bats and bounce-back spots
Swinging hot bats: Steven Kwan (CLE), Henry Bolte (ATH), Bryan Torres (STL), Drake Baldwin (ATL), Jackson Chourio (MIL), and Jake McCarthy (COL). Cold but due to bounce back: Yandy Díaz (TB), Chase DeLauter (CLE), Justin Foscue (TEX), Freddie Freeman (LAD), and Jahmai Jones (BOS).
How it played out
7 of the top 10 hits matchups landed at least one hit. Top play Fernando Tatis Jr. finished with 3 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 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.
Learn more: How the model works · The picks story · Today's plays