Last scored matchup
José isn't on today's slate. He was last scored 11 days ago, away at Milwaukee Brewers on Sunday, September 27, 2026, where he landed on singles (52/100), hits (38.5/100), doubles (32.4/100). This page refreshes with new projections as soon as he's back in a lineup.
He's swinging a hot bat
José is 8-for-25 (.320) over his last 10 games — well clear of his .248 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
José puts the ball in play — 44 strikeouts in 306 at-bats, about 14% of the time. Contact hitters carry their value on the hits board rather than the power boards, and they're less matchup-dependent than sluggers: a strikeout arm hurts him less than it hurts a hitter who sells out for damage. He's also run — 8 stolen bases — which shows up on the steals board.
He's a right-handed bat
José 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
José has recorded at least one hit in 57 of 106 games he's batted in — 54% — with 17 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
José is hitting .255 at home (40-for-157) and .242 on the road (36-for-149) 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 Milwaukee Brewers
José is 0-for-7 (.000) against Milwaukee Brewers in our log, over 3 games. Worth knowing, worth not over-reading. 7 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
José's biggest night was Saturday, September 19, 2026 against WSH — 3-for-5 with 1 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.
How our calls on José have graded
In the 7 games where we ranked José a top-20 hitter matchup, he recorded a hit 6 times — 86%. 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
José was scored on 12 boards in that matchup, and the spread is the interesting part: singles graded 52/100 while triples came in at 2.7/100. 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
José 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.