Best MLB Home Runs Matchups — Wednesday, August 26, 2026
Top home runs spot: Pete Alonso
Pete Alonso (BAL) tops the board at 100, facing RHP Michael McGreevy. The righty is going deep on .058 HR/PA against righties this year — and .121 over the last two weeks, big-time bat that turns into a home run in about 6% of his trips. And Michael McGreevy has been keeping the ball in the park against righties lately — .000 home runs 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 Michael McGreevy, 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
- Kyle Schwarber (PHI) (100) vs RHP Bryan Woo: elite bat at .070 into an arm keeping the ball in the park against the same side (.000), due to bounce back.
- Shohei Ohtani (LAD) (100) vs RHP AJ Smith-Shawver: big-time bat at .061 into an arm keeping the ball in the park against the same side (.000).
- Randal Grichuk (CWS) (86) vs LHP MacKenzie Gore: big-time bat at .056 into an arm mostly containing the same side (.026).
- Henry Bolte (ATH) (84) vs LHP Connor Prielipp: solid bat at .038 into an arm mostly containing the same side (.029).
- Kody Clemens (MIN) (81) vs RHP J.T. Ginn: real bat at .048 into an arm keeping the ball in the park against the same side (.000).
- Jonah Heim (ATH) (80) vs LHP Connor Prielipp: real bat at .048 into an arm mostly containing the same side (.029).
- Miguel Vargas (CWS) (77) vs LHP MacKenzie Gore: real bat at .048 into an arm mostly containing the same side (.026), hot bat.
Platoon edges to target
- Kyle Schwarber (PHI) — lefty bat vs RHP, .074 against righties this year.
- Shohei Ohtani (LAD) — lefty bat vs RHP, .048 against righties this year.
- Randal Grichuk (CWS) — righty bat vs LHP, .066 against lefties this year.
- Henry Bolte (ATH) — righty bat vs LHP, .040 against lefties this year.
- Kody Clemens (MIN) — lefty bat vs RHP, .046 against righties this year.
How it played out
3 of the top 10 home runs matchups landed at least one home run. Top play Pete Alonso finished with 1 home run. 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 home runs matchups
Each score (0–100) starts with the hitter's home runs 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 home runs board is
The Home Runs board projects the chance a hitter goes deep, park and matchup baked in. 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 power vs the pitcher's hand.
- The park's home-run environment and the wind.
- How hard and how often he hits it in the air.
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?
Home runs is one of the most efficiently priced props in the sport — every config we've backtested loses to the line, and our disagreements point away from the book's mistakes, not toward them. So HR is a transparency board: our projection, graded, no play attached. The honest read is the book is simply sharper here.
How to use it
Read it for who's in a live spot to run into one — but don't bet the WizLine against the line; there's no edge to press.
Everything here is a research signal from the model, graded in public — not betting advice, and no outcome is guaranteed.
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