Last scored matchup
Tyler isn't on today's slate. He was last scored 11 days ago, away at Toronto Blue Jays on Sunday, September 27, 2026, where he landed on rbis (48.3/100), singles (43.4/100), hits (42.8/100). This page refreshes with new projections as soon as he's back in a lineup.
He's in a cold stretch
Tyler is 5-for-30 (.167) across his last 10 games, down from .242 on the season. Slumps this size are mostly noise at this sample — 30 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.
What kind of hitter he is
Tyler has 15 home runs and 36 extra-base hits in 397 at-bats this season. That profile is why he grades better on the total-bases and home-run boards than his batting average alone would suggest — those boards reward damage, not just contact. Park and weather matter more for a hitter like him too, and both feed the score.
He's a right-handed bat
Tyler 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
Tyler has recorded at least one hit in 72 of 123 games he's batted in — 59% — with 22 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
Tyler is hitting .205 at home (40-for-195) and .277 on the road (56-for-202) across the season. That's a real-looking split, and it's the kind of thing that's usually part park and part noise. The model doesn't apply a blanket home-road adjustment — it prices the actual ballpark he's standing in, which is the part that carries signal.
How our calls on Tyler have graded
In the 6 games where we ranked Tyler a top-20 hitter matchup, he recorded a hit 4 times — 67%. That's a thin sample and we'd treat it as such. Every one of those calls was graded against the real box score, misses included.
Where he lands across our boards
Tyler was scored on 12 boards in that matchup, and the spread is the interesting part: rbis graded 48.3/100 while stolen bases came in at 0/100. 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
Tyler'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.