Los Angeles Dodgers vs Washington Nationals
Starting pitchers
Lineups
- 1 Shohei Ohtani DH
- 2 Kyle Tucker RF
- 3 Mookie Betts SS
- 4 Freddie Freeman 1B
- 5 Will Smith C
- 6 Max Muncy 3B
- 7 Andy Pages CF
- 8 Alex Freeland 2B
- 9 Alex Call LF
- 1 James Wood RF
- 2 Luis García Jr. DH
- 3 Brady House 3B
- 4 Daylen Lile LF
- 5 CJ Abrams SS
- 6 Curtis Mead 1B
- 7 Jorbit Vivas 2B
- 8 Drew Millas C
- 9 Jacob Young CF
Box score
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | R | |
|---|---|---|---|---|---|---|---|---|---|---|
| LAD | 2 | 3 | 1 | 0 | 3 | 0 | 1 | 0 | 0 | 10 |
| WSH | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 1 | 5 |
Manager comparison
Both managers grade B / C entering this matchup.
Recent form
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 −0.15 R/G Optimal arrangement projects 4.56 vs actual lineup 4.71
- Player execution +5.29 R/G Players exceeded the lineup's 4.71 projection by 5.29 (scored 10)
- Game variance +5.44 R/G Total game outcome vs optimal expectation
Pages HR from the 7-hole
- Manager lineup cost +0.00 R/G Optimal arrangement projects 3.16 vs actual lineup 3.16
- Player execution +1.84 R/G Players exceeded the lineup's 3.16 projection by 1.84 (scored 5)
- Game variance +1.84 R/G Total game outcome vs optimal expectation
Wood 0-for-5 batting 1st
Optimal lineups projected 4.6 – 3.2 — actual was 10 – 5.
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.