Today's matchup
Garrett draws Atlanta Braves at home today. He shows up on 12 boards — doubles (45.7/100, #31), stolen bases (38.9/100, #18), rbis (35.1/100, #56), fantasy points (32.5/100, #59). We've got him at 0.2 on the doubles board. Open any board row for the full breakdown of what's driving it.
He's swinging a hot bat
Garrett is 9-for-26 (.346) over his last 10 games — well clear of his .268 season mark. He's hit safely in 3 straight. Our model does lean on recent form, but it weights it against the matchup rather than chasing it: a hot bat facing a tough arm in a bad park still grades as a tough spot. Streaks like this one also end without warning, which is why the score moves on the matchup and not on the streak.
What kind of hitter he is
Garrett has 8 home runs and 37 extra-base hits in 339 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 left-handed bat
Garrett 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.
Floor and ceiling
Garrett has recorded at least one hit in 55 of 99 games he's batted in — 56% — with 28 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
Garrett is hitting .309 at home (50-for-162) and .232 on the road (41-for-177) 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.
His best game in the log
Garrett's biggest night was Thursday, August 20, 2026 against SEA — 3-for-4 with 1 homer, 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 Garrett a top-20 hitter matchup often enough this season to have a record worth publishing — 4 times so far. He's appeared in 104 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
Garrett was scored on 12 boards in that matchup, and the spread is the interesting part: doubles graded 45.7/100 while home runs came in at 23.3/100. 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
Garrett 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 Garrett specifically, we don't have a meaningful graded record on him yet.