Last scored matchup
Ha-Seong isn't on today's slate. He was last scored 3 days ago, away at Chicago White Sox on Thursday, August 20, 2026, where he landed on total bases (37.5/100), doubles (34.4/100), runs (33.4/100). This page refreshes with new projections as soon as he's back in a lineup.
He's a right-handed bat
Ha-Seong 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
Ha-Seong has recorded at least one hit in 5 of 24 games he's batted in — 21% — with 0 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
Ha-Seong is hitting .079 at home (3-for-38) and .057 on the road (2-for-35) 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.
No graded record on him yet
We haven't ranked Ha-Seong a top-20 hitter matchup often enough this season to have a record worth publishing — 1 time so far. He's appeared in 30 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
Ha-Seong was scored on 12 boards in that matchup, and the spread is the interesting part: total bases graded 37.5/100 while home runs came in at 7.5/100. 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 Ha-Seong 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. For Ha-Seong specifically, his sample is small (73 at-bats logged), and we don't have a meaningful graded record on him yet.