Best MLB RBIs Matchups — Wednesday, September 16, 2026
Top rbis spot: Leo Bernal
Leo Bernal (STL) tops the board at 100, facing RHP Anthony Molina. The lefty is driving in runs at .263 RBI/PA against righties this year — and .263 over the last two weeks, an elite bat that turns into a RBI in about 17% of his trips. And Anthony Molina has been getting lit up by righties lately — .210 RBIs per batter faced. The bullpen behind him is roughly average to that side. He's hitting in a spot worth about 4.5 trips, so the volume's there. No real history against Anthony Molina. It all sets up in a neutral park.
The rest of the top of the board
- Fernando Tatis Jr. (SD) (100) vs RHP Mason Adams: a strong bat at .121 into an arm with little track record against the same side, hitter's park, hot bat.
- Kyle Stowers (MIA) (100) vs RHP Merrill Kelly: an excellent bat at .141 into an arm stingy with runs against the same side (.045).
- Jackson Merrill (SD) (90) vs RHP Mason Adams: an excellent bat at .142 into an arm with little track record against the same side, hitter's park, hot bat.
- Randy Arozarena (SEA) (90) vs LHP Yusei Kikuchi: a strong bat at .121 into an arm stingy with runs against the same side (.000), hitter's park, hot bat.
- Ben Rice (NYY) (90) vs RHP Zebby Matthews: a strong bat at .130 into an arm getting lit up by the same side (.304), hot bat.
- Cal Raleigh (SEA) (87) vs LHP Yusei Kikuchi: an excellent bat at .152 into an arm stingy with runs against the same side (.000), hitter's park.
- Pete Alonso (BAL) (84) vs RHP Xzavion Curry: an elite bat at .176 into an arm with little track record against the same side.
Platoon edges to target
- Leo Bernal (STL) — lefty bat vs RHP, .263 against righties this year.
- Kyle Stowers (MIA) — lefty bat vs RHP, .138 against righties this year.
- Jackson Merrill (SD) — lefty bat vs RHP, .129 against righties this year.
- Randy Arozarena (SEA) — righty bat vs LHP, .113 against lefties this year.
- Ben Rice (NYY) — lefty bat vs RHP, .154 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: Fernando Tatis Jr. (SD) at 100.
- Angel Stadium is playing as hitter-friendly today (+3% run-scoring park). Top bat there: Randy Arozarena (SEA) at 90.
- PNC Park is playing as hitter-friendly today (+3% run-scoring park). Top bat there: Brice Turang (MIL) at 64.
How it played out
4 of the top 10 rbis matchups landed at least one RBI. Top play Leo Bernal finished with 1 RBI. 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 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