ARCHIVE April 10, 2026
April 10, 2026 · NL Cent

Washington Nationals vs Milwaukee Brewers

April 10, 2026American Family FieldRoof Closed 65°F · 0 mph, None
vs
HOME
Milwaukee Brewers
8-5
3

Starting pitchers

AWAY · WSH
Jake Irvin
Jake Irvin
IP 5
HOME · MIL
Chad Patrick
Chad Patrick
IP 3

Lineups

AWAY · WSH
  1. 1 James Wood RF
  2. 2 Curtis Mead 1B
  3. 3 Daylen Lile LF
  4. 4 Brady House 3B
  5. 5 CJ Abrams SS
  6. 6 Joey Wiemer CF
  7. 7 Luis García Jr. DH
  8. 8 Jorbit Vivas 2B
  9. 9 Keibert Ruiz C
HOME · MIL
  1. 1 Brice Turang 2B
  2. 2 William Contreras C
  3. 3 Christian Yelich DH
  4. 4 Garrett Mitchell CF
  5. 5 Jake Bauers 1B
  6. 6 Luis Rengifo 3B
  7. 7 Sal Frelick RF
  8. 8 Blake Perkins LF
  9. 9 David Hamilton SS

Box score

  123456789 R
WSH 200000104 7
MIL 300000000 3

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 −0.07 R/G Optimal arrangement projects 3.52 vs actual lineup 3.60
  • Player execution +3.40 R/G Players exceeded the lineup's 3.60 projection by 3.40 (scored 7)
  • Game variance +3.48 R/G Total game outcome vs optimal expectation

House 0-for-3 batting 4th

HOME · Milwaukee Brewers
  • Manager lineup cost −0.06 R/G Optimal arrangement projects 4.25 vs actual lineup 4.31
  • Player execution −1.31 R/G Players fell 1.31 short of the lineup's 4.31 projection (scored 3)
  • Game variance −1.25 R/G Total game outcome vs optimal expectation

Yelich 0-for-4 batting 3rd

COUNTERFACTUAL

Optimal lineups projected 3.5 – 4.3 — actual was 7 – 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.

Read the full methodology.