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Our engine ran 10,000 Monte Carlo plate appearances of Hunter Goodman against Yoshinobu Yamamoto at Dodger Stadium. It gives a 17.5% probability of a hit per plate appearance, with 33.5% strikeouts, 5.8% walks and 3.3% home runs per PA. Average simulated length: 3.22 pitches per plate appearance. No raw head-to-head rate drives any of these numbers; the inputs are regressed multi-season rates for both players (methodology below).
| Outcome | Sim probability | Rate |
|---|---|---|
| Walk | 5.8% | |
| Strikeout | 33.5% | |
| Hit by pitch | 0.9% | |
| Single | 10.7% | |
| Double | 3.2% | |
| Triple | 0.3% | |
| Home run | 3.3% | |
| Batted-ball out | 42.3% |
Where the simulated plate appearances ended, and the hit probability conditioned on that count.
| Count | PA ends here | P(hit) at count | K / BB |
|---|---|---|---|
| 0-3 | 15.5% | 0.0% | |
| 0-0 | 14.3% | 30.7% | |
| 0-1 | 12.9% | 26.7% | |
| 1-3 | 12.2% | 0.0% | |
| 1-1 | 7.6% | 27.3% | |
| 0-2 | 7.0% | 30.6% | |
| 1-2 | 6.8% | 25.4% | |
| 2-3 | 5.8% | 0.0% | |
| 1-0 | 4.9% | 30.9% |
Career line: 8 PA, 0 hits (0 HR), 0 BB, 2 SO. .000 AVG / .000 OPS. Statcast-era pitch log: 8 PA across 2 seasons (2024–2025).
| Season | PA | H | HR | BB | SO | OPS |
|---|---|---|---|---|---|---|
| 2024 | 3 | 0 | 0 | 0 | 1 | .000 |
| 2025 | 5 | 0 | 0 | 0 | 1 | .000 |
Read rate: 8 career PA is 0.0% of one full batter season. One extra dropped popup changes the career average by 12.5 points.
Re-running the same 10,000 simulated PAs with Dodger Stadium's factors (hit 0.97x, home run 0.93x) moves the hit probability from 18.4% in a neutral park to 17.5%, a -0.9-point move.
Yoshinobu Yamamoto's 2026 pitch mix (8,196 pitches tracked).
| Pitch | Usage | Avg velo | Whiff / swing |
|---|---|---|---|
| Four-Seam Fastball | 32.9% | 96 mph | |
| Split-Finger | 25.7% | 91 mph | |
| Curveball | 17.4% | 77 mph | |
| Cutter | 11.4% | 91 mph | |
| Sinker | 8.3% | 95 mph | |
| Slider | 4.3% | 87 mph |
Inputs: Hunter Goodman's and Yoshinobu Yamamoto's last-three-season lines (3104 PA / 3860 BF weighted 1x/2x/3x by recency), shrunk toward league average, blended with a log5 odds-ratio matchup model, conditioned on real league count-level pitch and batted-ball frequencies, and park-adjusted with committed park factors. The count process is calibrated per pair so simulated strikeout and walk rates land within 0.3% of the model targets (this page: 0.03% K error,0.03% BB error).
Head-to-head history never enters the simulation; a batter-pitcher pair shares a few dozen career PAs at most, and honesty means the model's priors are the players' own multi-season tendencies, not a 30-PA fluke. Full engine notes on the methodology page.