Los Angeles Dodgers vs San Francisco Giants
Starting pitchers
Lineups
- 1 Shohei Ohtani P
- 2 Kyle Tucker RF
- 3 Will Smith C
- 4 Freddie Freeman 1B
- 5 Teoscar Hernández LF
- 6 Max Muncy 3B
- 7 Andy Pages CF
- 8 Hyeseong Kim SS
- 9 Miguel Rojas 2B
- 1 Willy Adames SS
- 2 Luis Arraez 2B
- 3 Matt Chapman 3B
- 4 Rafael Devers 1B
- 5 Casey Schmitt DH
- 6 Jung Hoo Lee RF
- 7 Heliot Ramos LF
- 8 Drew Gilbert CF
- 9 Patrick Bailey C
Box score
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | R | |
|---|---|---|---|---|---|---|---|---|---|---|
| LAD | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| SF | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 3 |
Manager comparison
Both managers grade B / B- entering this matchup.
Recent form
Season series: 1-2 with LAD listed first across 3 prior meetings.
Tactical analysis
RunsLeft separates manager decisions from player execution from game variance. Each card below is the same three-number framework that drives the share cards on the SPA replay page.
- Manager lineup cost −0.08 R/G Optimal arrangement projects 5.04 vs actual lineup 5.12
- Player execution −5.12 R/G Players fell 5.12 short of the lineup's 5.12 projection (scored 0)
- Game variance −5.04 R/G Total game outcome vs optimal expectation
Ohtani 0-for-4 batting 1st
- Manager lineup cost +0.00 R/G Optimal arrangement projects 2.44 vs actual lineup 2.45
- Player execution +0.55 R/G Players exceeded the lineup's 2.45 projection by 0.55 (scored 3)
- Game variance +0.56 R/G Total game outcome vs optimal expectation
Bailey HR from the 9-hole
Optimal lineups projected 5.0 – 2.4 — actual was 0 – 3.
Keep reading
How RunsLeft analyzes games
Standard content on this page comes from the MLB Stats API. Tactical analysis comes from a per-game Monte Carlo: 10,000 simulated games against the opposing starter's ERA, both for the actual lineup the manager wrote and for the optimal arrangement of those nine players. The three numbers — manager cost, player execution, game variance — separate which part of the result was the lineup, the players, or the dice.