Best MLB Runs Matchups — Saturday, July 18, 2026
Top runs spot: Kevin McGonigle
Kevin McGonigle (DET) tops the board at 100, facing RHP Grayson Rodriguez. The lefty is scoring at .151 R/PA against righties this year — and .087 over the last two weeks, a solid bat that turns into a run in about 13% of his trips. And Grayson Rodriguez has been stingy with runs against righties lately — .067 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 just .000 in 2 career PA against Grayson Rodriguez, 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
- James Wood (WSH) (100) vs RHP J.T. Ginn: an elite bat at .171 into an arm getting lit up by the same side (.300).
- Miguel Vargas (CWS) (90) vs RHP Shane Bieber: a strong bat at .139 into an arm getting lit up by the same side (.318).
- Elly De La Cruz (CIN) (87) vs RHP Tomoyuki Sugano: a strong bat at .135 into an arm with little track record against the same side.
- Colt Keith (DET) (82) vs RHP Grayson Rodriguez: a solid bat at .120 into an arm stingy with runs against the same side (.067), due to bounce back.
- Riley Greene (DET) (81) vs RHP Grayson Rodriguez: a strong bat at .130 into an arm stingy with runs against the same side (.067).
- Dillon Dingler (DET) (80) vs RHP Grayson Rodriguez: a league-average bat at .117 into an arm getting lit up by the same side (.250).
- Wilyer Abreu (BOS) (76) vs LHP Ian Seymour: a strong bat at .134 into an arm getting lit up by the same side (.294).
Platoon edges to target
- Kevin McGonigle (DET) — lefty bat vs RHP, .151 against righties this year.
- James Wood (WSH) — lefty bat vs RHP, .223 against righties this year.
- Elly De La Cruz (CIN) — lefty bat vs RHP, .155 against righties this year.
- Colt Keith (DET) — lefty bat vs RHP, .122 against righties this year.
- Riley Greene (DET) — lefty bat vs RHP, .137 against righties this year.
How it played out
4 of the top 10 runs matchups landed at least one run. Top play Kevin McGonigle finished with 2 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 — the WizLine 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.
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