Today's matchup
Today it's Los Angeles Dodgers for Oneil, away. He shows up on 12 boards — triples (72.8/100), stolen bases (62.7/100), runs (57.1/100), hits (56.6/100). We've got him at 0 on the triples board. Open any board row for the full breakdown of what's driving it.
Recent form
Oneil is 8-for-27 (.296) over his last 10 games, in line with his .249 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
Oneil has 16 home runs and 27 extra-base hits in 253 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's a left-handed bat
Oneil hits from the left side, and that's the first thing the model looks at. Left-handed hitters see right-handed pitching most nights, which is the favourable side — so a lefty bat's baseline is set against righties, and drawing a left-handed starter is a genuine downgrade rather than a rounding error. When you see his score fall on a day he's still in the lineup, an opposing lefty is usually why. Handedness also shapes the park read: pull-side geometry matters more for a left-handed swing than the raw park factor suggests.
Floor and ceiling
Oneil has recorded at least one hit in 43 of 63 games he's batted in — 68% — with 15 multi-hit games among them. That's about average — most regulars land somewhere near it.
Home and away
Oneil is hitting .246 at home (32-for-130) and .252 on the road (31-for-123) 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.
His best game in the log
Oneil's biggest night was Tuesday, June 2, 2026 at HOU — 2-for-5 with 1 homer, 3 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 Oneil have graded
In the 10 games where we ranked Oneil a top-20 hitter matchup, he recorded a hit 6 times — 60%. 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
Oneil was scored on 12 boards in that matchup, and the spread is the interesting part: triples graded 72.8/100 while home runs came in at 26.3/100. 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
Oneil'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.