Not on the current slate
Taylor hasn't been scored in 19 days — his last matchup was against Colorado Rockies on Friday, September 18, 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.
He's in a cold stretch
Taylor is 1-for-20 (.050) across his last 10 games, down from .220 on the season. Slumps this size are mostly noise at this sample — 20 at-bats is a fortnight, not a trend — and the model treats it that way, discounting the cold run rather than writing him off. If the matchup underneath is good, he'll still grade well here. That's a feature, and sometimes it's wrong.
He's a right-handed bat
Taylor hits from the right side, so the platoon math runs the other way from a lefty's. Right-handed bats face right-handed pitching most of the time, meaning his baseline is built against the harder side and a left-handed starter is the upgrade. That's why a righty's score can jump on a day nothing else about the matchup changed. The model weighs his rates against the specific handedness he's drawing rather than a blended season number, which is where a lot of the day-to-day movement in his score comes from.
Floor and ceiling
Taylor has recorded at least one hit in 77 of 137 games he's batted in — 56% — with 21 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 .219 at home (54-for-247) and .222 on the road (54-for-243) 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.
How our calls on Taylor have graded
In the 21 games where we ranked Taylor a top-20 hitter matchup, he recorded a hit 11 times — 52%. Middle of the road, which is what most players look like. Every one of those calls was graded against the real box score, misses included.
Where he lands across our boards
Taylor was scored on 12 boards in that matchup, and the spread is the interesting part: rbis graded 58.1/100 while stolen bases came in at 8/100. 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's score rates the spot in front of him, not the name on the jersey. It weighs his rates against the kind of arm he's facing — handedness matters a lot — set against what that pitcher and his bullpen give up, then adjusts for expected playing time, park, weather, and recent form, normalized 0–100 across the slate. The weighting is proprietary and re-tuned weekly; the grading is public, and that's the half that proves anything.
What we'd flag
Books don't price every player — coverage tops out around 87% even for confirmed starters, so "no line" here usually means no book posted one rather than a gap in our data. Lineups change late, and an afternoon projection can be stale by first pitch. And the model is tuned across hundreds of graded outcomes, so one game tells you nothing about whether it's working.