Today's matchup
Taylor draws Baltimore Orioles on the road today. He shows up on 12 boards — runs (44.5/100, #154), walks (34.2/100, #191), singles (31.3/100, #158), fantasy points (29.3/100, #177). We've got him at 0.5 on the runs board. Open any board row for the full breakdown of what's driving it.
Recent form
Taylor is 7-for-30 (.233) over his last 10 games, in line with his .218 season line. No hot streak to fade, no slump to buy — the matchup is doing the work in his score, which is the normal case. The full game log is below.
What kind of hitter he is
Taylor strikes out a lot — 90 strikeouts in 317 at-bats, roughly 28%. That cuts both ways in our numbers. It drags his floor on the hits board, since he needs contact to get there. But it barely dents the power boards, where one swing settles it — he's got 2 homers. Against a high-strikeout arm his score will fall further than a contact hitter's would.
He bats from both sides
Taylor 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. Taylor 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.
Floor and ceiling
Taylor has recorded at least one hit in 57 of 101 games he's batted in — 56% — with 11 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
Taylor is hitting .231 at home (36-for-156) and .205 on the road (33-for-161) across the season. There's not much in it, which is the normal case. Home-road splits get talked about far more than they hold up.
Against Baltimore Orioles
Taylor is 4-for-21 (.190) against Baltimore Orioles in our log, over 7 games. Worth knowing, worth not over-reading. 21 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.
His best game in the log
Taylor's biggest night was Tuesday, August 11, 2026 at ATH — 2-for-4 with 2 homers, 3 driven in. 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 Taylor a top-20 hitter matchup often enough this season to have a record worth publishing — 1 time so far. He's appeared in 106 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
Taylor was scored on 12 boards in that matchup, and the spread is the interesting part: runs graded 44.5/100 while home runs came in at 6.3/100. 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
Taylor 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 Taylor specifically, we don't have a meaningful graded record on him yet.