Best MLB Home Runs Matchups — Monday, September 7, 2026
Top home runs spot: Coby Mayo
Coby Mayo (BAL) tops the board at 100, facing LHP Joey Cantillo. The righty is going deep on .107 HR/PA against lefties this year — and .083 over the last two weeks, elite bat that turns into a home run in about 7% of his trips. And Joey Cantillo has been mostly containing lefties lately — .025 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 6 career PA against Joey Cantillo, 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
- Juan Soto (NYM) (86) vs RHP Eury Pérez: big-time bat at .064 into an arm getting taken deep by the same side (.059).
- Rafael Devers (SF) (85) vs RHP Michael McGreevy: big-time bat at .062 into an arm mostly containing the same side (.029).
- Kyle Schwarber (PHI) (84) vs RHP Grant Holmes: elite bat at .068 into an arm keeping the ball in the park against the same side (.000).
- James Wood (WSH) (74) vs RHP Nick Pivetta: real bat at .048 into an arm with little track record against the same side, hot bat.
- Bryce Harper (PHI) (69) vs RHP Grant Holmes: big-time bat at .054 into an arm keeping the ball in the park against the same side (.000).
- Ketel Marte (AZ) (68) vs LHP Noah Cameron: big-time bat at .052 into an arm mostly containing the same side (.026), hot bat.
- Kyle Stowers (MIA) (67) vs RHP Jonah Tong: big-time bat at .051 into an arm with little track record against the same side.
Platoon edges to target
- Coby Mayo (BAL) — righty bat vs LHP, .107 against lefties this year.
- Juan Soto (NYM) — lefty bat vs RHP, .073 against righties this year.
- Rafael Devers (SF) — lefty bat vs RHP, .070 against righties this year.
- Kyle Schwarber (PHI) — lefty bat vs RHP, .073 against righties this year.
- James Wood (WSH) — lefty bat vs RHP, .058 against righties this year.
Lineup watch
198 of today's hitters are still on projected lineups, drawn from each team's last game. Batting order drives the score, so these flip the moment official lineups post — usually about two hours before first pitch. Anyone who doesn't make the official card gets flagged "Not starting" and drops to the bottom.
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.
Learn more: How the model works · The picks story · Today's plays