Last scored matchup
Brooks isn't on today's slate. He was last scored 10 days ago, at home against Texas Rangers on Sunday, September 27, 2026, where he landed on doubles (32.5/100), hits (24.6/100), singles (24.1/100). This page refreshes with new projections as soon as he's back in a lineup.
He's swinging a hot bat
Brooks is 14-for-42 (.333) over his last 10 games — well clear of his .254 season mark. 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
Brooks has 24 home runs and 52 extra-base hits in 579 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 bats from both sides
Brooks 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. Brooks 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
Brooks has recorded at least one hit in 99 of 151 games he's batted in — 66% — with 39 multi-hit games among them. That's about average — most regulars land somewhere near it.
Home and away
Brooks is hitting .212 at home (61-for-288) and .296 on the road (86-for-291) 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.
Against Texas Rangers
Brooks is 2-for-13 (.154) against Texas Rangers in our log, over 3 games. Worth knowing, worth not over-reading. 13 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
Brooks's biggest night was Sunday, September 20, 2026 at LAA — 3-for-4. 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.
How our calls on Brooks have graded
We've ranked Brooks a top-20 hitter matchup 21 times this season. He got a hit in 13 of them — 62%. That's the model reading him well, and it's the number we'd point to if you asked why we keep ranking him. It's also a season-sized sample on one player, which is smaller than it sounds; don't extrapolate it into a promise about tonight.
Where he lands across our boards
Brooks was scored on 12 boards in that matchup, and the spread is the interesting part: doubles graded 32.5/100 while triples came in at 4.2/100. 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
Brooks'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.