Today's matchup
Today it's San Diego Padres for Nick, away. He shows up on 12 boards — singles (40.7/100, #162), walks (29.7/100, #215), runs (28.9/100, #208), doubles (23.2/100, #251). We've got him at 0.6 on the singles board. Open any board row for the full breakdown of what's driving it.
He's a right-handed bat
Nick hits from the right side, so the platoon math runs the other way from a lefty's. Right-handed bats face right-handed pitching most of the time, meaning his baseline is built against the harder side and a left-handed starter is the upgrade. That's why a righty's score can jump on a day nothing else about the matchup changed. The model weighs his rates against the specific handedness he's drawing rather than a blended season number, which is where a lot of the day-to-day movement in his score comes from.
Floor and ceiling
Nick has recorded at least one hit in 20 of 39 games he's batted in — 51% — with 4 multi-hit games among them. That's a boom-or-bust profile. He'll carry a game outright and then go quiet for three, so his hits-board score tends to sit below hitters with worse power and better contact.
Home and away
Nick is hitting .190 at home (11-for-58) and .368 on the road (14-for-38) across the season. That's a real-looking split, and it's the kind of thing that's usually part park and part noise. The model doesn't apply a blanket home-road adjustment — it prices the actual ballpark he's standing in, which is the part that carries signal.
No graded record on him yet
We haven't ranked Nick a top-20 hitter matchup often enough this season to have a record worth publishing — 1 time so far. He's appeared in 57 graded games, 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
Nick was scored on 12 boards in that matchup, and the spread is the interesting part: singles graded 40.7/100 while rbis came in at 0/100. 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
Nick'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 Nick specifically, his sample is small (96 at-bats logged), and we don't have a meaningful graded record on him yet.