Not on the current slate
Scott hasn't been scored in 31 days — his last matchup was against Los Angeles Dodgers on Sunday, September 27, 2026. A gap that long usually means an injury, a minor-league option, or a roster move rather than a rest day. Everything below is his most recent real production, not a projection.
Small sample, handle with care
Scott has just 29 at-bats in our graded season log — not enough to say much. He's hitting .207 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's a left-handed bat
Scott hits from the left side, and that's the first thing the model looks at. Left-handed hitters see right-handed pitching most nights, which is the favourable side — so a lefty bat's baseline is set against righties, and drawing a left-handed starter is a genuine downgrade rather than a rounding error. When you see his score fall on a day he's still in the lineup, an opposing lefty is usually why. Handedness also shapes the park read: pull-side geometry matters more for a left-handed swing than the raw park factor suggests.
Against Los Angeles Dodgers
Scott is 3-for-14 (.214) against Los Angeles Dodgers in our log, over 6 games. Worth knowing, worth not over-reading. 14 at-bats against one club is a tiny sample, and the model treats it as a minor input next to what that pitching staff actually allows to his handedness. Batter-versus-pitcher history is the most quoted number in baseball and one of the least predictive.
No graded record on him yet
We haven't ranked Scott a top-20 hitter matchup often enough this season to have a record worth publishing — 3 times so far. He's appeared in 13 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
Scott was scored on 12 boards in that matchup, and the spread is the interesting part: hits graded 44.5/100 while triples came in at 7.7/100. 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
Take the name off Scott and the model still produces the same number, because it's scoring the matchup rather than the player. His splits against this handedness, what the opposing starter and bullpen actually allow, how many plate appearances he's likely to get, the park, the weather, how he's swinging lately. All of it lands on a 0–100 scale against everyone else playing today. We don't publish how it's weighted. We publish every result it produces.
What we'd flag
Three caveats worth carrying. Not every player gets a posted line — book coverage runs to about 87% for confirmed starters, so a blank line is the market's silence, not ours. Lineup changes land late enough to strand a projection published hours earlier. And judging any of this on a single night is meaningless; the model is tuned on hundreds of settled outcomes. For Scott specifically, his sample is small (29 at-bats logged), and we don't have a meaningful graded record on him yet.