Today's matchup
DJ draws Detroit Tigers on the road today. He shows up on 6 boards — strikeouts (95.2/100, #2), outs recorded (69.6/100, #5), fantasy points (68.4/100, #3), walks allowed (31.5/100, #5). We've got him at 5.1 on the strikeouts board. That's one of the stronger spots on the board today. Open any board row for the full breakdown of what's driving it.
He throws left-handed
DJ is a left-hander, and that matters more for a starter than it does for most hitters. Lineups get built specifically to attack lefties — managers stack right-handed bats against them — so the lineup he draws on a given night swings his projection further than a righty's would. The model prices the actual lineup rather than a season-long rate for exactly that reason. A stacked righty lineup is the spot where his strikeout projection comes down hardest.
Where he lands across our boards
DJ was scored on 6 boards in that matchup, and the spread is the interesting part: strikeouts graded 95.2/100 while hits allowed came in at 7.4/100. 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
DJ's score comes from the matchup, not his reputation. The model weighs how the opposing lineup handles his handedness, how many batters he's likely to face given recent workload, the park, and the weather — then normalizes 0–100 against every other arm on the slate. How those factors are weighted is our own, and it re-tunes weekly against real outcomes. We publish the score and grade it in public; that's the half you can check.
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.