Best MLB RBIs Matchups — Friday, September 18, 2026
Top rbis spot: Randy Arozarena
Randy Arozarena (SEA) tops the board at 100, facing RHP the starter. The righty is driving in runs at .121 RBI/PA against righties this year — and .217 over the last two weeks, a solid bat that turns into a RBI in about 12% of his trips. And the starter has been thin against righties lately. The bullpen behind him hasn't been any better to that side, so there's no relief late. He's hitting in a spot worth about 4.5 trips, so the volume's there. No real history against the starter. It all sets up in a hitter's park.
The rest of the top of the board
- Dominic Canzone (SEA) (100) vs RHP the starter: a strong bat at .129 into an arm with little track record against the same side, hitter's park, hot bat.
- Cal Raleigh (SEA) (95) vs RHP the starter: an excellent bat at .155 into an arm with little track record against the same side, hitter's park.
- Pete Alonso (BAL) (92) vs RHP Dustin May: an elite bat at .176 into an arm stingy with runs against the same side (.053).
- Jo Adell (CLE) (92) vs RHP Mason Barnett: a strong bat at .134 into an arm with little track record against the same side, hot bat.
- Leo Bernal (STL) (86) vs RHP Cade Cavalli: an elite bat at .168 into an arm stingy with runs against the same side (.043).
- Carter Jensen (KC) (81) vs RHP Paul Skenes: an excellent bat at .148 into an arm stingy with runs against the same side (.080), hitter's park, hot bat.
- Julio Rodríguez (SEA) (81) vs RHP the starter: a strong bat at .125 into an arm with little track record against the same side, hitter's park.
Platoon edges to target
- Leo Bernal (STL) — lefty bat vs RHP, .234 against righties this year.
- Carter Jensen (KC) — lefty bat vs RHP, .136 against righties this year.
- Zach Neto (LAA) — righty bat vs LHP, .127 against lefties this year.
- Kody Clemens (MIN) — lefty bat vs RHP, .136 against righties this year.
- Riley Greene (DET) — lefty bat vs RHP, .138 against righties this year.
Best parks to drive in runs today
- Coors Field is playing as a real hitter's park today (+18% run-scoring park). Top bat there: Randy Arozarena (SEA) at 100.
- PNC Park is playing as hitter-friendly today (+3% run-scoring park). Top bat there: Carter Jensen (KC) at 81.
- Angel Stadium is playing as hitter-friendly today (+3% run-scoring park). Top bat there: Zach Neto (LAA) at 81.
- UNIQLO Field at Dodger Stadium is playing as hitter-friendly today (+3% run-scoring park). Top bat there: Teoscar Hernández (LAD) at 73.
Lineup watch
270 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 rbis matchups
Each score (0–100) starts with the hitter's RBIs 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 RBIs board is
The RBIs board projects the chance a hitter drives in a run, given his slot and the bats around him. 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:
- His run-driving rate.
- How often the hitters ahead of him are on base.
- The arm he faces and the park.
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?
RBIs is lumpy — runs cluster — and once you price the 1+ line with a clustering-aware model instead of a naive one, the apparent edge vanishes. It grades efficient. So this is a transparency board.
How to use it
Good for spotting the cleanup-spot smash setups; not a market we've found a bettable edge in.
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