Best MLB Runs Matchups — Wednesday, July 1, 2026
Top runs spot: Esteury Ruiz
Esteury Ruiz (MIA) tops the board at 100, facing LHP Kyle Freeland. The righty is scoring at .225 R/PA against lefties this year — and .250 over the last two weeks, a strong bat that turns into a run in about 13% of his trips. And Kyle Freeland has been getting lit up by lefties lately — .167 runs 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. He's owned Kyle Freeland too — .500 across 2 career trips. It all sets up in a neutral park.
The rest of the top of the board
- Shohei Ohtani (LAD) (100) vs RHP J.T. Ginn: an excellent bat at .157 into an arm stingy with runs against the same side (.091), hot bat.
- Luis Arraez (SF) (98) vs RHP Zac Gallen: a solid bat at .127 into an arm getting lit up by the same side (.212), hot bat.
- Otto Lopez (MIA) (96) vs LHP Kyle Freeland: a solid bat at .119 into an arm getting lit up by the same side (.167).
- Yandy Díaz (TB) (93) vs RHP Seth Lugo: a solid bat at .128 into an arm getting lit up by the same side (.313), hot bat.
- Sam Antonacci (CWS) (90) vs RHP Dean Kremer: a strong bat at .143 into an arm with little track record against the same side, hot bat.
- Anthony Seigler (BOS) (88) vs RHP Brad Lord: a solid bat at .126 into an arm getting lit up by the same side (.333), hot bat.
- Dillon Dingler (DET) (84) vs RHP Will Warren: a solid bat at .127 into an arm getting lit up by the same side (.290).
Platoon edges to target
- Esteury Ruiz (MIA) — righty bat vs LHP, .225 against lefties this year.
- Shohei Ohtani (LAD) — lefty bat vs RHP, .172 against righties this year.
- Luis Arraez (SF) — lefty bat vs RHP, .136 against righties this year.
- Otto Lopez (MIA) — righty bat vs LHP, .146 against lefties this year.
- Sam Antonacci (CWS) — lefty bat vs RHP, .175 against righties this year.
How it played out
2 of the top 10 runs matchups landed at least one run. Top play Esteury Ruiz finished with 0 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 runs matchups
Each score (0–100) starts with the hitter's runs scored 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 runs board is
The Runs board projects the chance a hitter scores a run. 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 on-base ability at the top of the order.
- The bats due up behind him.
- The opposing run-prevention.
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?
Like RBIs, runs is a lumpy market that grades efficient once you model the clustering honestly. Transparency board — our number set beside the line, graded.
How to use it
Useful context for top-of-the-order run creation, not a lean.
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