Last scored matchup
Kyle isn't on today's slate. He was last scored 10 days ago, away at Chicago White Sox on Sunday, September 27, 2026, where he landed on walks allowed (91.4/100), outs recorded (83.1/100), strikeouts (31.8/100). This page refreshes with new projections as soon as he's back in a lineup.
Season line
26 starts, 4-12, 6.65 ERA, 1.52 WHIP, 135.1 innings. He's struck out 108 over that span, against 29 walks. This is the baseline the matchup adjusts from — the model starts here and then asks what the specific lineup he's facing does to strikeout arms, how the park plays, and how deep he's likely to go.
He throws left-handed
Kyle 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.
His last 5 starts
Kyle has 12 strikeouts in 22.7 innings across his last 5 starts, a 4.8 K/9, with a 6.75 ERA over that stretch and 3 walks. Strikeouts are the one pitcher market where our model has found real, graded room — projected workload and the specific lineup he draws move that number more than a season-long rate does. Start-by-start detail is in the log below.
Strikeouts and control
Kyle has 108 strikeouts and 29 walks in 135.3 innings this season — 7.2 K/9 against 1.9 BB/9, a 3.7-to-1 ratio. That's strong control, and it does more for his projection than the raw strikeout number does. Walks are the fastest way to shorten a start — an arm that doesn't issue them gets deeper into games, which is what the outs and strikeout lines are really pricing.
What his floor looks like
Kyle has made 27 starts this season, averaging 5.0 innings with a 6.65 ERA across them. In the 12 starts we hold detailed lines for, he got through five or more innings 7 times. That ratio is the honest read on his floor, and it's what separates an arm worth projecting on the outs board from one whose good starts are unpredictable enough that the market prices them better than we do.
How long he goes
Kyle is averaging 5.2 innings a start across his last 8 outings, with a high of 9.0 and about 81 pitches a night. He's not going deep, and that caps the strikeout and outs projections no matter how good the matchup looks — you can't strike out hitters you don't face. Expected batters faced is one of the bigger inputs to his score for exactly this reason.
His best start in the log
Kyle's high-water mark was Saturday, July 11, 2026 at SF: 9 strikeouts over 6.0 innings, 4 earned runs. One start doesn't set a projection — the model works off the blend of his recent work against the specific lineup in front of him — but it does show the ceiling when the matchup lines up.
Where he lands across our boards
Kyle was scored on 6 boards in that matchup, and the spread is the interesting part: walks allowed graded 91.4/100 while hits allowed came in at 0/100. 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
Kyle'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.