Last scored matchup
Cal isn't on today's slate. He was last scored 10 days ago, at home against Los Angeles Angels on Sunday, September 27, 2026, where he landed on rbis (72.7/100), home runs (65.9/100), walks (63.8/100). This page refreshes with new projections as soon as he's back in a lineup.
Recent form
Cal is 7-for-36 (.194) over his last 10 games, in line with his .184 season line. No hot streak to fade, no slump to buy — the matchup is doing the work in his score, which is the normal case. The full game log is below.
What kind of hitter he is
Cal has 23 home runs and 38 extra-base hits in 446 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
Cal 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. Cal 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
Cal has recorded at least one hit in 64 of 124 games he's batted in — 52% — with 14 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
Cal is hitting .199 at home (45-for-226) and .168 on the road (37-for-220) 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 Los Angeles Angels
Cal is 6-for-22 (.273) against Los Angeles Angels in our log, over 6 games. Worth knowing, worth not over-reading. 22 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
Cal's biggest night was Saturday, September 19, 2026 at COL — 2-for-4 with 1 homer, 2 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 Cal have graded
In the 13 games where we ranked Cal a top-20 hitter matchup, he recorded a hit 7 times — 54%. 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
Cal was scored on 12 boards in that matchup, and the spread is the interesting part: rbis graded 72.7/100 while triples came in at 3.2/100. 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
Take the name off Cal and the model still produces the same number, because it's scoring the matchup rather than the player. His splits against this handedness, what the opposing starter and bullpen actually allow, how many plate appearances he's likely to get, the park, the weather, how he's swinging lately. All of it lands on a 0–100 scale against everyone else playing today. We don't publish how it's weighted. We publish every result it produces.
What we'd flag
Three caveats worth carrying. Not every player gets a posted line — book coverage runs to about 87% for confirmed starters, so a blank line is the market's silence, not ours. Lineup changes land late enough to strand a projection published hours earlier. And judging any of this on a single night is meaningless; the model is tuned on hundreds of settled outcomes.