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 Teoscar Hernández LF
- 8 Andy Pages CF
- 9 Alex Freeland 2B
- 1 James Wood RF
- 2 Luis García 1B
- 3 Daylen Lile LF
- 4 Brady House DH
- 5 CJ Abrams SS
- 6 Nasim Nuñez 2B
- 7 Jorbit Vivas 3B
- 8 Keibert Ruiz C
- 9 Jacob Young CF
Box score
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | R | |
|---|---|---|---|---|---|---|---|---|---|---|
| LAD | 0 | 0 | 5 | 2 | 4 | 0 | 1 | 0 | 1 | 13 |
| WSH | 3 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 6 |
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 −0.22 R/G Optimal arrangement projects 4.98 vs actual lineup 5.20
- Player execution +7.80 R/G Players exceeded the lineup's 5.20 projection by 7.80 (scored 13)
- Game variance +8.02 R/G Total game outcome vs optimal expectation
Pages HR from the 8-hole
- Manager lineup cost +0.05 R/G Optimal arrangement projects 4.84 vs actual lineup 4.79
- Player execution +1.21 R/G Players exceeded the lineup's 4.79 projection by 1.21 (scored 6)
- Game variance +1.16 R/G Total game outcome vs optimal expectation
Lineup spots out of order vs season production
Optimal lineups projected 5.0 – 4.8 — actual was 13 – 6.
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.