ARCHIVE April 5, 2026
April 5, 2026 · NL East

Los Angeles Dodgers vs Washington Nationals

April 5, 2026Nationals ParkOvercast 60°F · 4 mph, In From LF
AWAY
Los Angeles Dodgers
7-2
8
vs

Starting pitchers

AWAY · LAD
Roki Sasaki
Roki Sasaki
IP 5
HOME · WSH
Foster Griffin
Foster Griffin
IP 5

Lineups

AWAY · LAD
  1. 1 Shohei Ohtani DH
  2. 2 Miguel Rojas SS
  3. 3 Teoscar Hernández LF
  4. 4 Freddie Freeman 1B
  5. 5 Andy Pages CF
  6. 6 Alex Call RF
  7. 7 Santiago Espinal 3B
  8. 8 Dalton Rushing C
  9. 9 Alex Freeland 2B
HOME · WSH
  1. 1 James Wood RF
  2. 2 Nasim Nuñez 2B
  3. 3 Luis García Jr. 1B
  4. 4 Daylen Lile LF
  5. 5 Joey Wiemer CF
  6. 6 CJ Abrams SS
  7. 7 Jorbit Vivas 3B
  8. 8 Keibert Ruiz C
  9. 9 José Tena DH

Box score

  123456789 R
LAD 001002041 8
WSH 002400000 6

Manager comparison

Both managers grade B / C entering this matchup.

AWAY · LAD
Dave Roberts
B Lineup 0.2 R Bunts 0.3 R IBBs 1.0 R
HOME · WSH
Blake Butera
C Lineup 1.6 R Bunts 1.5 R IBBs 1.4 R

Recent form

AWAY · LAD
5-5 W1 +16 run diff
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HOME · WSH
6-4 W3 +6 run diff
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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.

AWAY · Los Angeles Dodgers
  • Manager lineup cost +0.15 R/G Optimal arrangement projects 3.35 vs actual lineup 3.20
  • Player execution +4.80 R/G Players exceeded the lineup's 3.20 projection by 4.80 (scored 8)
  • Game variance +4.65 R/G Total game outcome vs optimal expectation

Lineup spots out of order vs season production

HOME · Washington Nationals
  • Manager lineup cost +0.02 R/G Optimal arrangement projects 4.86 vs actual lineup 4.83
  • Player execution +1.17 R/G Players exceeded the lineup's 4.83 projection by 1.17 (scored 6)
  • Game variance +1.14 R/G Total game outcome vs optimal expectation

Lile 0-for-4 batting 4th

COUNTERFACTUAL

Optimal lineups projected 3.4 – 4.9 — actual was 8 – 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.

Read the full methodology.