Not on the current slate
Andrew hasn't been scored in 35 days — his last matchup was against Colorado Rockies on Saturday, August 1, 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
Andrew has just 15 at-bats in our graded season log — not enough to say much. He's hitting .067 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
Andrew 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. Andrew 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 Andrew a top-20 hitter matchup often enough this season to have a record worth publishing — 1 time so far. He's appeared in 6 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
Andrew was scored on 12 boards in that matchup, and the spread is the interesting part: hits graded 52.3/100 while rbis came in at 14/100. 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
Andrew 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 Andrew specifically, his sample is small (15 at-bats logged), and we don't have a meaningful graded record on him yet.