Today's matchup
Today it's Milwaukee Brewers for Ronny, away. He shows up on 12 boards — walks (41.1/100, #77), singles (30.3/100, #88), hits (26.3/100, #125), rbis (24.4/100, #125). We've got him at 0.3 on the walks board. Open any board row for the full breakdown of what's driving it.
Small sample, handle with care
Ronny has just 4 at-bats in our graded season log — not enough to say much. He's hitting .000 across them, but a number built on this little data moves wildly with one good week. His confidence rating on any board reflects that: the model will still score his matchup, it's just honest that it's working with thin information. Treat the projection as a starting point, not a read.
He bats from both sides
Ronny is a switch-hitter, which changes how the model reads every one of his matchups. Most hitters carry a real platoon penalty — a lefty bat facing a good lefty arm is a materially worse spot, and the score drops accordingly. Ronny takes the favourable side almost every night, so he doesn't collect that penalty. What moves his number instead is the quality of the arm rather than its handedness, and how the two sides of his own swing actually compare, which is rarely as balanced as the switch-hitter label suggests.
No graded record on him yet
We haven't ranked Ronny a top-20 hitter matchup often enough this season to have a record worth publishing — not once so far. He's appeared in 1 graded game, so the log below is real; there just isn't a track record on our calls to show. It'll build here if the matchups start landing his way.
Where he lands across our boards
Ronny was scored on 12 boards in that matchup, and the spread is the interesting part: walks graded 41.1/100 while home runs came in at 6.3/100. Same player, same game, same opposing arm — different questions. A spread that wide usually means the matchup favours one kind of outcome over another, and it's the clearest argument for reading the board that matches what you actually care about.
How the model reads him
Ronny's score rates the spot in front of him, not the name on the jersey. It weighs his rates against the kind of arm he's facing — handedness matters a lot — set against what that pitcher and his bullpen give up, then adjusts for expected playing time, park, weather, and recent form, normalized 0–100 across the slate. The weighting is proprietary and re-tuned weekly; the grading is public, and that's the half that proves anything.
What we'd flag
Books don't price every player — coverage tops out around 87% even for confirmed starters, so "no line" here usually means no book posted one rather than a gap in our data. Lineups change late, and an afternoon projection can be stale by first pitch. And the model is tuned across hundreds of graded outcomes, so one game tells you nothing about whether it's working. For Ronny specifically, his sample is small (4 at-bats logged), and we don't have a meaningful graded record on him yet.