Last scored matchup
Jonah isn't on today's slate. He was last scored 11 days ago, at home against Los Angeles Dodgers on Sunday, September 27, 2026, where he landed on stolen bases (89.7/100), fantasy points (83.8/100), hits (64.6/100). This page refreshes with new projections as soon as he's back in a lineup.
He's in a cold stretch
Jonah is 6-for-36 (.167) across his last 10 games, down from .260 on the season. Slumps this size are mostly noise at this sample — 36 at-bats is a fortnight, not a trend — and the model treats it that way, discounting the cold run rather than writing him off. If the matchup underneath is good, he'll still grade well here. That's a feature, and sometimes it's wrong.
What kind of hitter he is
Jonah strikes out a lot — 61 strikeouts in 146 at-bats, roughly 42%. That cuts both ways in the WizLine. It drags his floor on the hits board, since he needs contact to get there. But it barely dents the power boards, where one swing settles it — he's got 4 homers. Against a high-strikeout arm his score will fall further than a contact hitter's would.
He's a right-handed bat
Jonah 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
Jonah has recorded at least one hit in 27 of 50 games he's batted in — 54% — with 9 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
Jonah is hitting .213 at home (16-for-75) and .310 on the road (22-for-71) 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 Los Angeles Dodgers
Jonah is 2-for-21 (.095) against Los Angeles Dodgers in our log, over 6 games. Worth knowing, worth not over-reading. 21 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
Jonah's biggest night was Wednesday, September 16, 2026 at STL — 3-for-4 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 Jonah have graded
We've ranked Jonah a top-20 hitter matchup 21 times this season. He got a hit in 15 of them — 71%. 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
Jonah was scored on 12 boards in that matchup, and the spread is the interesting part: stolen bases graded 89.7/100 while triples came in at 21.4/100. 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
Jonah'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.