Best MLB Home Runs Matchups — Friday, August 21, 2026
Top home runs spot: Shohei Ohtani
Shohei Ohtani (LAD) tops the board at 100, facing RHP Bubba Chandler. The lefty is going deep on .050 HR/PA against righties this year — and .094 over the last two weeks, big-time bat that turns into a home run in about 6% of his trips. And Bubba Chandler 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 4.7 trips, so the volume's there. He's owned Bubba Chandler too — .500 across 2 career trips. It all sets up in a neutral park.
The rest of the top of the board
- Kyle Schwarber (PHI) (83) vs RHP Hunter Dobbins: elite bat at .068 into an arm leaking power to the same side (.037).
- Yordan Alvarez (HOU) (82) vs RHP J.T. Ginn: big-time bat at .055 into an arm keeping the ball in the park against the same side (.000).
- Pete Alonso (BAL) (75) vs RHP Freddy Peralta: big-time bat at .056 into an arm getting taken deep by the same side (.067), hot bat.
- Griffin Conine (MIA) (74) vs RHP Brad Lord: big-time bat at .062 into an arm keeping the ball in the park against the same side (.000).
- Sal Stewart (CIN) (72) vs LHP Eduardo Rodriguez: real bat at .049 into an arm mostly containing the same side (.033), hot bat.
- Brandon Lowe (PIT) (67) vs RHP Yoshinobu Yamamoto: big-time bat at .057 into an arm keeping the ball in the park against the same side (.000).
- Abimelec Ortiz (WSH) (64) vs RHP Ryan Gusto: elite bat at .067 into an arm keeping the ball in the park against the same side (.000).
Platoon edges to target
- Shohei Ohtani (LAD) — lefty bat vs RHP, .050 against righties this year.
- Kyle Schwarber (PHI) — lefty bat vs RHP, .072 against righties this year.
- Yordan Alvarez (HOU) — lefty bat vs RHP, .066 against righties this year.
- Griffin Conine (MIA) — lefty bat vs RHP, .085 against righties this year.
- Sal Stewart (CIN) — righty bat vs LHP, .054 against lefties this year.
How it played out
2 of the top 10 home runs matchups landed at least one home run. Top play Shohei Ohtani finished with 0 home runs. 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 our number 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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