Today's matchup
Zac draws Cleveland Guardians at home today. He shows up on 12 boards — walks (31.9/100), total bases (22.5/100), hits (21.1/100), triples (20.1/100). We've got him at 0.3 on the walks board. The model doesn't love the spot — the numbers are below. Open any board row for the full breakdown of what's driving it.
Small sample, handle with care
Zac has just 22 at-bats in our graded season log — not enough to say much. He's hitting .227 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
Zac 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.
No graded record on him yet
We haven't ranked Zac a top-20 hitter matchup often enough this season to have a record worth publishing — 1 time so far. He's appeared in 9 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
Zac was scored on 12 boards in that matchup, and the spread is the interesting part: walks graded 31.9/100 while singles came in at 8.2/100. 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
Zac 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 Zac specifically, his sample is small (22 at-bats logged), and we don't have a meaningful graded record on him yet.