ARCHIVE April 11, 2026
April 11, 2026 · NL Cent

Washington Nationals vs Milwaukee Brewers

April 11, 2026American Family FieldRoof Closed 67°F · 0 mph, None
vs
HOME
Milwaukee Brewers
8-6
1

Starting pitchers

AWAY · WSH
Foster Griffin
Foster Griffin
IP 5.1
HOME · MIL
Kyle Harrison
Kyle Harrison
IP 4.1

Lineups

AWAY · WSH
  1. 1 James Wood DH
  2. 2 Curtis Mead 1B
  3. 3 Brady House 3B
  4. 4 Daylen Lile LF
  5. 5 Joey Wiemer RF
  6. 6 CJ Abrams SS
  7. 7 Jacob Young CF
  8. 8 Nasim Nuñez 2B
  9. 9 Keibert Ruiz C
HOME · MIL
  1. 1 Brice Turang 2B
  2. 2 Luis Rengifo 3B
  3. 3 William Contreras C
  4. 4 Christian Yelich DH
  5. 5 Gary Sánchez 1B
  6. 6 Brandon Lockridge LF
  7. 7 Sal Frelick RF
  8. 8 Blake Perkins CF
  9. 9 Joey Ortiz SS

Box score

  123456789 R
WSH 000020001 3
MIL 000000001 1

Manager comparison

Both managers grade C / B- entering this matchup.

AWAY · WSH
Blake Butera
C Lineup 1.6 R Bunts 1.5 R IBBs 1.4 R
HOME · MIL
Pat Murphy
B- Lineup 0.6 R Bunts 1.4 R IBBs 3.1 R

Recent form

AWAY · WSH
6-4 W3 +6 run diff
WWWLWLLWWL
HOME · MIL
6-3 W2 +33 run diff
WW?LLWWWLW

Season series: 4-2 with WSH listed first across 6 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.

AWAY · Washington Nationals
  • Manager lineup cost −0.03 R/G Optimal arrangement projects 2.76 vs actual lineup 2.79
  • Player execution +0.21 R/G Players exceeded the lineup's 2.79 projection by 0.21 (scored 3)
  • Game variance +0.24 R/G Total game outcome vs optimal expectation

Mead 0-for-3 batting 2nd

HOME · Milwaukee Brewers
  • Manager lineup cost −0.02 R/G Optimal arrangement projects 3.08 vs actual lineup 3.10
  • Player execution −2.10 R/G Players fell 2.10 short of the lineup's 3.10 projection (scored 1)
  • Game variance −2.08 R/G Total game outcome vs optimal expectation

Turang 0-for-3 batting 1st

COUNTERFACTUAL

Optimal lineups projected 2.8 – 3.1 — actual was 3 – 1.

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.