Last scored matchup
Nate isn't on today's slate. He was last scored 13 days ago, away at New York Mets on Saturday, September 5, 2026, where he landed on runs (36.4/100), h+r+rbi (34.6/100), hits (34.3/100). This page refreshes with new projections as soon as he's back in a lineup.
Small sample, handle with care
Nate has just 29 at-bats in our graded season log — not enough to say much. He's hitting .138 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
Nate 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.
His best game in the log
Nate's biggest night was Monday, August 31, 2026 at ATL — 2-for-3. That's the ceiling, not the expectation. The projection you'll see on a board is closer to his typical game than his best one, which is the whole point of projecting rather than remembering.
No graded record on him yet
We haven't ranked Nate a top-20 hitter matchup often enough this season to have a record worth publishing — 1 time so far. He's appeared in 19 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
Nate was scored on 12 boards in that matchup, and the spread is the interesting part: runs graded 36.4/100 while stolen bases came in at 9.5/100. 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
Nate gets scored the same way a backup infielder does — same inputs, same scale, no thumb on it. What he's done against arms of this handedness, what this particular pitcher and bullpen give up, his likely plate appearances, the ballpark, the conditions, his recent form. The weighting behind those is ours and gets re-tuned weekly against what actually happened. The output is public and graded, which is the only claim worth making.
What we'd flag
Read this page knowing what it can't do. It can't show you a line no book posted — coverage peaks around 87% for confirmed starters. It can't see a lineup change that happens after the projection publishes. And it can't tell you anything useful from one game, because the model is only measurable across a season-sized sample. For Nate specifically, his sample is small (29 at-bats logged), and we don't have a meaningful graded record on him yet.